Measurement method and system, and related apparatus

Abstract

The present application relates to the technical field of electronics. Disclosed are a measurement method and system, and a related apparatus. The method is applied to a first electronic device, and comprises: acquiring a correspondence between heart rate intervals and exercise intensities; acquiring first physiological data of a user before exercise; acquiring second physiological data of the user during exercise; acquiring third physiological data of the user after exercise; on the basis of the correspondence between heart rate intervals and exercise intensities, determining a first exercise intensity corresponding to a second heart rate; on the basis of the first physiological data, the second physiological data, the third physiological data, and the first exercise intensity, determining a first heart rate interval and / or a second exercise intensity; and outputting a first recommendation prompt, wherein the first recommendation prompt is used for prompting the user regarding the first heart rate interval and / or the second exercise intensity. In this way, a user can adjust the exercise intensity and / or the heart rate thereof on the basis of a first recommendation prompt during the next exercise, thereby reducing risks to the user.

Description

A measurement method, system and related apparatus

[0001] This application claims priority to Chinese Patent Application No. 202510014999.3, filed on January 3, 2025, entitled "A Measurement Method, System and Related Apparatus", the entire contents of which are incorporated herein by reference. Technical Field

[0002] This application relates to the field of electronic technology, and in particular to a measurement method, system and related apparatus. Background Technology

[0003] With the continuous development of electronic technology, more and more electronic devices are equipped with motion monitoring functions, which can monitor the user's movement status, such as whether the user is in a state of exercise and the type of exercise. Users can understand their own exercise status by using the motion monitoring function of electronic devices.

[0004] However, if the user has health risks, the electronic device cannot adjust the intensity of the exercise based on the user's health condition and exercise status, thus posing a risk to the user's exercise. Summary of the Invention

[0005] This application provides a measurement method, system, and related device that can recommend appropriate exercise heart rate zones and / or exercise intensity to users based on their own exercise and health status.

[0006] In a first aspect, this application provides a measurement method applied to a first electronic device. The method includes: acquiring the correspondence between heart rate zones and exercise intensity; acquiring first physiological data of the user before exercise, the first physiological data including first blood pressure and first heart rate; acquiring second physiological data of the user during exercise, the second physiological data including second heart rate; acquiring third physiological data of the user after exercise, the third physiological data including third heart rate and third blood pressure; determining a first exercise intensity corresponding to the second heart rate based on the correspondence between heart rate zones and exercise intensity; determining a first heart rate zone and / or a second exercise intensity based on the first physiological data, the second physiological data, the third physiological data, and the first exercise intensity; and outputting a first recommendation prompt, the first recommendation prompt being used to prompt the user about the first heart rate zone and / or the second exercise intensity.

[0007] It should be noted that the first physiological data can also be regarded as the physiological data before the first exercise, the second physiological data can be regarded as the physiological data collected during the first exercise, and the third physiological data can be regarded as the physiological data collected after the first exercise.

[0008] In this way, based on the physiological data obtained before, during and after exercise, the recommended exercise intensity (i.e., the second exercise intensity) and / or the recommended heart rate zone (i.e., the first heart rate zone) for the next exercise can be determined. This allows users to adjust the exercise intensity and / or heart rate appropriately during their next exercise, reducing the risk of exercise, improving user safety, and enhancing exercise efficiency.

[0009] In one possible implementation, the first physiological data, the second physiological data, and the third physiological data are collected by the first electronic device.

[0010] In this way, with the first electronic device having its own blood pressure measurement and heart rate measurement functions, the first electronic device can collect physiological data on its own and determine the recommended heart rate zone and / or recommended exercise intensity for the next exercise.

[0011] In another possible implementation, the first physiological data, the second physiological data, and the third physiological data are collected by the second electronic device and sent to the first electronic device.

[0012] In this way, the first electronic device can also determine the recommended heart rate zone and / or recommended exercise intensity for the next exercise based on physiological data (such as first physiological data, second physiological data, third physiological data, etc.) sent by other electronic devices.

[0013] In one possible implementation, a first heart rate zone and / or a second exercise intensity are determined based on first physiological data, second physiological data, third physiological data, and a first exercise intensity. Specifically, this includes: determining a cardiovascular risk level based on the first physiological data, second physiological data, and third physiological data; determining a second exercise intensity based on the cardiovascular risk level and the first exercise intensity; and determining the first heart rate zone based on the correspondence between the heart rate zone and the exercise intensity from the second exercise intensity.

[0014] In this way, the user's cardiovascular risk level can be determined first based on physiological data before, during and after exercise (such as first physiological data, second physiological data, third physiological data, etc.), and then the first heart rate zone and / or second exercise intensity can be determined based on the cardiovascular risk level.

[0015] In one possible implementation, the second exercise intensity is determined based on the cardiovascular risk level and the first exercise intensity. Specifically, if the cardiovascular risk level is high, the second exercise intensity is determined to be two levels lower than the first exercise intensity; if the cardiovascular risk level is medium, the second exercise intensity is determined to be one level lower than the first exercise intensity; if the cardiovascular risk level is low, the second exercise intensity is determined to be equal to the first exercise intensity.

[0016] Thus, if the cardiovascular risk level is high, the intensity of the next exercise session (i.e., the second exercise intensity) can be reduced by two levels compared to the intensity of the current exercise session (i.e., the first exercise intensity); if the cardiovascular risk level is medium, the intensity of the next exercise session can be reduced by one level; and if the cardiovascular risk level is low, the intensity of the next exercise session can remain unchanged.

[0017] It should be noted that if the first exercise intensity cannot meet the needs of exercise intensity adjustment, for example, if the first exercise intensity cannot be reduced by one or two levels, then the second exercise intensity can be the lowest level of exercise intensity, or the second exercise intensity can be avoiding exercise altogether.

[0018] In one possible implementation, the cardiovascular risk level is determined based on first physiological data, second physiological data, and third physiological data, specifically including: determining the cardiovascular risk level and blood pressure response based on the first physiological data, second physiological data, and third physiological data; and determining the second exercise intensity based on the cardiovascular risk level and first exercise intensity, specifically including: determining the second exercise intensity based on the cardiovascular risk level, blood pressure response, and first exercise intensity.

[0019] In this way, the user's cardiovascular risk level and blood pressure response can be determined first based on physiological data before, during and after exercise (such as first physiological data, second physiological data, third physiological data, etc.), and then the first heart rate zone and / or second exercise intensity can be determined based on the cardiovascular risk level and blood pressure response.

[0020] In one possible implementation, a first heart rate zone and / or a second exercise intensity are determined based on first physiological data, second physiological data, third physiological data, and a first exercise intensity. Specifically, this includes: determining a blood pressure response based on the first physiological data, second physiological data, and third physiological data; determining a second exercise intensity based on the blood pressure response and the first exercise intensity; and determining the first heart rate zone based on the correspondence between the heart rate zone and the exercise intensity.

[0021] In this way, the user's blood pressure response can be determined first based on physiological data before, during and after exercise (such as first physiological data, second physiological data, third physiological data, etc.), and then the first heart rate zone and / or second exercise intensity can be determined based on the blood pressure response.

[0022] In one possible implementation, after outputting the first recommendation prompt, the method further includes: acquiring historical measurement records, which include a first heart rate zone and / or a second exercise intensity; detecting that the user has started a second exercise session, and outputting a first prompt based on the historical measurement records, the first prompt being used to suggest a recommended heart rate zone and / or recommended exercise intensity to the user during the second exercise session.

[0023] Thus, at the start of the second exercise, or during the second exercise, the first electronic device can output a first prompt based on a previously determined first heart rate zone and / or second exercise intensity. The first prompt is used to remind the user of the recommended heart rate zone and / or recommended exercise intensity during the second exercise. The second exercise is the exercise following the first exercise, and the first exercise is the exercise for which the second physiological data during the exercise process was acquired.

[0024] In one possible implementation, the method further includes: acquiring the user's fourth physiological data before the second exercise, the fourth physiological data including the sixth blood pressure and the sixth heart rate; and outputting a first prompt based on historical measurement records, specifically including: outputting a first prompt based on the fourth physiological data and historical measurement records.

[0025] In this way, the first prompt can be determined based on one or more of the first heart rate zone determined during the first exercise, the second exercise intensity, and the fourth physiological data before the second exercise.

[0026] In one possible implementation, acquiring second physiological data during user movement specifically includes: monitoring the user's heart rate signal during movement; determining the user's movement scenario as a first movement scenario based on the heart rate signal during movement; and determining a second heart rate based on the first movement scenario and the heart rate signal during movement.

[0027] In this way, the exercise scenario of the first exercise can be determined based on the heart rate signal during the exercise process (i.e., the first exercise), and then an appropriate heart rate calculation method can be selected according to the exercise scenario to calculate the second heart rate during the first exercise process.

[0028] In one possible implementation, the first electronic device can also detect the user's exercise mode (e.g., cycling, running, swimming, etc.) during exercise and select an appropriate heart rate calculation method based on the exercise type to calculate the second heart rate during the first exercise.

[0029] In one possible implementation, the first exercise scenario is a stable exercise scenario; the second heart rate is determined based on the first exercise scenario and the heart rate signal during exercise, specifically including: determining the second heart rate as the average heart rate of the user throughout the entire exercise process based on the first exercise scenario and the heart rate signal during exercise.

[0030] In this way, in a stable exercise scenario, the average value throughout the entire exercise process can be used as the heart rate during this exercise, i.e., the second heart rate.

[0031] In one possible implementation, the first exercise scenario is an explosive exercise scenario; the second heart rate is determined based on the first exercise scenario and the heart rate signal during exercise, specifically including: determining the second heart rate as the average heart rate within a third time period before the end of the user's exercise based on the first exercise scenario and the heart rate signal during exercise.

[0032] In this way, in explosive exercise scenarios, the average heart rate signal within the third time period before the end of exercise (such as three minutes, five minutes, etc.) can be used as the heart rate during this exercise, i.e., the second heart rate.

[0033] It should be noted that, in one possible implementation, the third time before the user finishes exercising can be regarded as the burst phase of the exercise, that is, the phase in which the amplitude of the heart rate signal suddenly increases.

[0034] In one possible implementation, the first exercise scenario is an intermittent exercise scenario; the second heart rate is determined based on the first exercise scenario and the heart rate signal during exercise, specifically including: determining the duration of each preset heart rate interval during exercise based on the first exercise scenario and the heart rate signal during exercise; and determining the second heart rate as any value in the heart rate interval with the longest duration during exercise.

[0035] Thus, in intermittent exercise scenarios, any value in the heart rate interval with the longest duration of the heart rate signal amplitude during exercise can be used as the heart rate during this exercise, i.e., the second heart rate; or, the mode of the heart rate signal amplitude during exercise can be used as the heart rate during this exercise, i.e., the second heart rate.

[0036] In one possible implementation, acquiring second physiological data during user movement specifically includes: acquiring historical heart rate records; monitoring heart rate signals during user movement; and determining a second heart rate based on historical heart rate records and heart rate signals during movement.

[0037] In this way, the second heart rate can be determined by combining previously measured heart rates (i.e., historical heart rate records) with the heart rate signals measured during the current exercise.

[0038] In one possible implementation, the second physiological data also includes a second blood pressure reading.

[0039] In this way, blood pressure can be measured during exercise, and combined with blood pressure and other physiological data during exercise, the recommended heart rate zone and / or recommended exercise intensity for the next exercise can be determined.

[0040] In one possible implementation, the third physiological data also includes a fourth heart rate and a fourth blood pressure; acquiring the third physiological data after the user's exercise specifically includes: measuring the third heart rate and the third blood pressure at a first moment, where the first moment is the moment when the user ends the exercise; measuring the fourth heart rate and the fourth blood pressure at a second moment, where the second moment is later than the first moment, and the duration between the first moment and the second moment is the first duration.

[0041] It should be noted that in another possible implementation, the first moment can also be the moment after a preset time (e.g., 5 seconds, 10 seconds, etc.) after the end of the movement, and the first moment is earlier than the second moment.

[0042] In this way, heart rate and blood pressure can be measured multiple times after exercise. For example, heart rate and blood pressure can be measured once immediately after exercise ends, and again at the second moment after exercise ends. Multiple measurements help improve the accuracy of the measurements, making it easier to obtain a more accurate first heart rate zone and / or second exercise intensity.

[0043] In one possible implementation, the third physiological data also includes a fifth heart rate and a fifth blood pressure; the method further includes measuring the fifth heart rate and the fifth blood pressure at a third time point, which is later than the first time point, and the duration between the first time point and the third time point is a second duration.

[0044] In this way, heart rate and blood pressure can be measured again at the third moment after exercise ends. Multiple measurements help improve the accuracy of the measurements, making it easier to obtain a more accurate first heart rate zone and / or second exercise intensity later.

[0045] In one possible implementation, the third physiological data also includes an electrocardiogram (ECG) signal; the method further includes measuring the ECG signal at a fourth time point.

[0046] In this way, after exercise, electrocardiogram (ECG) signals can be measured, and the first heart rate zone and / or the second exercise intensity can be determined by combining the ECG signals, which makes it easier to obtain a more accurate first heart rate zone and / or second exercise intensity later.

[0047] In one possible implementation, before acquiring the second physiological data of the user's movement, the method further includes: receiving a second operation from the user and determining that the user has started moving; or detecting that the user's activity level is greater than a first activity level threshold and determining that the user has started moving.

[0048] In this way, it is possible to determine whether a user has started exercising based on the user's actions (the second action), and it is also possible to determine whether a user has started exercising by monitoring the amount of the user's activity.

[0049] Secondly, this application provides an electronic device, namely a first electronic device. The first electronic device includes one or more processors and one or more memories; wherein the one or more memories are coupled to the one or more processors, and the one or more memories are used to store computer instructions, which, when the one or more processors execute the computer instructions, implement the measurement method in any possible implementation of any of the above aspects.

[0050] Thirdly, this application provides a chip system comprising: a processing circuit and an interface circuit, wherein the interface circuit is used to receive code instructions and transmit them to the processing circuit, and the processing circuit is used to execute the code instructions to perform the measurement method in any possible implementation of any of the above aspects.

[0051] Fourthly, this application provides a readable storage medium storing computer instructions that, when executed by a processor, implement the measurement method in any of the possible implementations of any of the above aspects.

[0052] Fifthly, this application provides a computer program product, including computer instructions, which, when executed by a processor, implement the measurement method in any of the possible implementations of any of the above aspects.

[0053] The beneficial effects of aspects two through five can be referenced from the beneficial effects of aspect one above. Attached Figure Description

[0054] Figure 1A is a schematic diagram showing the correspondence between a maximum heart rate zone division method and exercise intensity provided in an embodiment of this application;

[0055] Figure 1B is a schematic diagram showing the correspondence between a reserve heart rate zone division method and exercise intensity provided in an embodiment of this application;

[0056] Figure 1C is a schematic diagram showing the correspondence between a lactate threshold heart rate zone division method and exercise intensity provided in an embodiment of this application;

[0057] Figure 2A is a schematic diagram of the device configuration of an electronic device provided in an embodiment of this application;

[0058] Figure 2B is a schematic diagram of the system architecture of a measurement system provided in an embodiment of this application;

[0059] Figure 2C is a schematic diagram of the hardware structure of an electronic device provided in an embodiment of this application;

[0060] Figure 3 is a schematic diagram of the logic of a measurement method provided in an embodiment of this application;

[0061] Figure 4 is a flowchart illustrating a measurement method provided in an embodiment of this application;

[0062] Figure 5 is a flowchart illustrating a method for determining whether a user has cardiac function risks, as provided in an embodiment of this application.

[0063] Figure 6 is a schematic diagram of the process for determining the recommended heart rate zone for this exercise according to an embodiment of this application;

[0064] Figure 7 is a schematic diagram of a process for outputting exercise intensity prompts during exercise, provided by an embodiment of this application;

[0065] Figure 8 is a schematic diagram of a measurement process for physiological data after exercise provided in an embodiment of this application;

[0066] Figure 9A is a schematic diagram of a process for determining a recommended heart rate zone according to an embodiment of this application;

[0067] Figure 9B is a schematic diagram of a process for determining a recommended heart rate zone according to an embodiment of this application;

[0068] Figures 10A-10C are waveforms of heart rate signals for three different sports scenarios provided in the embodiments of this application;

[0069] Figure 11 is a schematic diagram of a process for determining heart rate during exercise based on a sports scene, according to an embodiment of this application.

[0070] Figures 12A-12C are schematic diagrams of a set of interfaces for setting motion modes provided in the embodiments of this application;

[0071] Figures 12D-12F are schematic diagrams of a set of interfaces for setting heart rate zones provided in the embodiments of this application;

[0072] Figures 13A-13G are schematic diagrams of an interface for measuring physiological data before exercise provided in an embodiment of this application;

[0073] Figures 14A-14C are schematic diagrams of a set of interfaces during the motion process provided in the embodiments of this application;

[0074] Figures 14D-14F are schematic diagrams of a set of interfaces for measuring physiological data after exercise provided in an embodiment of this application;

[0075] Figures 14G-14I are schematic diagrams of a set of interfaces providing heart rate recommendation prompts according to embodiments of this application;

[0076] Figure 15 is a schematic diagram of the functional modules of an electronic device provided in an embodiment of this application;

[0077] Figure 16 is a schematic diagram of the functional modules of a measurement system provided in an embodiment of this application;

[0078] Figure 17 is a schematic diagram of the physical structure of an electronic device provided in an embodiment of this application;

[0079] Figure 18 is a flowchart illustrating a measurement method provided in an embodiment of this application. Detailed Implementation

[0080] The technical solutions in the embodiments of this application will be clearly and thoroughly described below with reference to the accompanying drawings. In the description of the embodiments of this application, unless otherwise stated, " / " means "or," for example, A / B can mean A or B; the word "and / or" in the text is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Furthermore, in the description of the embodiments of this application, "multiple" refers to two or more than two.

[0081] Hereinafter, the terms "first" and "second" are used for descriptive purposes only and should not be construed as implying or suggesting relative importance or implicitly indicating the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature, and in the description of the embodiments of this application, unless otherwise stated, "multiple" means two or more.

[0082] The term "user interface (UI)" used in the following embodiments of this application refers to the medium interface through which an application or operating system interacts and exchanges information with the user. It realizes the conversion between the internal form of information and the form that the user can accept. The user interface is source code written in a specific computer language such as Java or Extensible Markup Language (XML). The interface source code is parsed and rendered on the electronic device, ultimately presenting content that the user can recognize. A common form of user interface is the graphical user interface (GUI), which refers to a user interface related to computer operation displayed graphically. It can be visible interface elements such as text, icons, buttons, menus, tabs, text boxes, dialog boxes, status bars, navigation bars, and widgets displayed on the screen of an electronic device.

[0083] The following describes the terms used in the embodiments of this application.

[0084] Exercise and Cardiovascular Risk: During exercise, the cardiovascular system significantly enhances its function. The heart's pumping function and skeletal muscle blood flow undergo a series of adaptive changes to ensure the body's oxygen supply during strenuous exercise. If cardiovascular disease is present, increased exercise intensity may lead to insufficient oxygen supply to the heart, abnormal blood pressure response, reduced exercise capacity, and arrhythmias. Therefore, monitoring physiological indicators such as blood pressure, electrocardiogram, and heart rate before and after exercise can determine post-exercise blood pressure fluctuations and assess the potential cardiovascular risks associated with exercise.

[0085] Post-exercise blood pressure response: The post-exercise blood pressure response (also known as blood pressure response) indicates the change in a user's blood pressure after exercise relative to their pre-exercise resting state. During aerobic exercise, to meet the body's needs, the heart contracts faster and more forcefully, blood circulation speed increases, heart rate increases, cardiac output increases, skeletal muscle blood flow increases, peripheral resistance slightly decreases, and blood pressure changes accordingly. The post-exercise blood pressure response can include one or more of the following: normal blood pressure response, hypertensive response, hypotensive response, and slow blood pressure recovery, etc.

[0086] Normal blood pressure response: Under normal circumstances, after exercise, the main change in arterial blood pressure is an increase in systolic blood pressure, while diastolic blood pressure does not increase significantly and may even decrease slightly. After exercise, blood pressure will gradually return to pre-exercise levels or be slightly lower than pre-exercise levels.

[0087] Hypertensive Response: During high-intensity exercise, a systolic blood pressure ≥210 mmHg for men and ≥190 mmHg for women after exercise; or during moderate-intensity exercise, a systolic blood pressure ≥170 mmHg after exercise, is considered an excessive blood pressure response, termed a hypertensive response. Hypertensive responses are often associated with hypertension, left ventricular hypertrophy, and impaired vascular endothelial function. During exercise, diastolic blood pressure usually does not change significantly or decreases slightly. If the peak diastolic blood pressure is >90 mmHg, or if the diastolic blood pressure increases by more than 10 mmHg compared to resting levels during exercise, it is considered an abnormal response and may lead to exertional ischemia. If the diastolic blood pressure is >115 mmHg, it indicates an excessive blood pressure response, and exercise should be stopped immediately. Insufficient rest and high levels of physical activity before exercise may affect the accuracy of the assessment.

[0088] Hypotension response: A hypotension response refers to a decrease in systolic blood pressure during exercise compared to pre-exercise levels, or a decrease after an initial increase with a drop greater than 10 mmHg. Hypotension responses are often accompanied by symptoms such as dizziness, chest pain, and severe arrhythmia, and are associated with an increased risk of exertional myocardial ischemia, left ventricular dysfunction, and subsequent cardiac events. Measuring blood pressure before exercise without sufficient rest and with high levels of physical activity may affect the accuracy of the assessment.

[0089] Slow blood pressure recovery: During aerobic exercise, systolic blood pressure should generally return to or be lower than the pre-exercise resting level within 6 minutes after exercise. Slow blood pressure recovery is associated with cardiovascular risks such as hypertension, myocardial ischemia, and coronary artery disease. Insufficient rest before exercise or continued exercise afterward may affect the accuracy of the assessment.

[0090] The following describes three methods for dividing heart rate zones provided in the embodiments of this application.

[0091] Figure 1A shows a schematic diagram illustrating the correspondence between a maximum heart rate zone division method and exercise intensity provided in an embodiment of this application.

[0092] As shown in Figure 1A, under the maximum heart rate zone division method, the heart rate zone can be divided into multiple intervals, and each interval can correspond to an exercise intensity. For example, the exercise intensity from low to high includes warm-up, fat burning, aerobic endurance, anaerobic endurance, and limit, etc.; the heart rate intervals corresponding to the above exercise intensities are as follows: warm-up corresponds to heart rate interval [89, 106], fat burning corresponds to heart rate interval [106, 122], aerobic endurance corresponds to heart rate interval [122, 142], anaerobic endurance corresponds to heart rate interval [142, 159], limit corresponds to heart rate interval [159, 177], etc. It should be noted that the values ​​of the heart rate intervals here are just examples. Under the maximum heart rate zone division method, the value range of each heart rate interval can also be other values, and the value range of each heart rate interval can also be adjusted based on user operation. This application does not limit this.

[0093] It is understood that the embodiment shown in Figure 1A is only an example. In the embodiments of this application, under the division method of the maximum heart rate zone, the user's heart rate zone may include more, fewer, or different zones than the above embodiments. The exercise intensity corresponding to the heart rate zone may also include more, fewer, or different exercise intensity than the above embodiments. This application does not limit this.

[0094] Figure 1B shows a schematic diagram illustrating the correspondence between a reserve heart rate zone division method and exercise intensity provided in an embodiment of this application.

[0095] As shown in Figure 1B, under the heart rate reserve zone division method, the heart rate zone can be divided into multiple intervals, and each interval can correspond to an exercise intensity. For example, the exercise intensity from low to high includes aerobic base, aerobic intermediate, lactate threshold, anaerobic base, and anaerobic intermediate, etc.; the heart rate intervals corresponding to the above exercise intensities are as follows: aerobic base corresponds to heart rate interval [129, 147], aerobic intermediate corresponds to heart rate interval [147, 158], lactate threshold corresponds to heart rate interval [158, 163], anaerobic base corresponds to heart rate interval [163, 171], anaerobic intermediate corresponds to heart rate interval [171, 177], etc. It should be noted that the values ​​of the heart rate intervals here are just examples. Under the heart rate reserve zone division method, the value range of each heart rate interval can also be other values, and the value range of each heart rate interval can also be adjusted based on user operation. This application does not limit this.

[0096] It is understood that the embodiment shown in Figure 1B is only an example. In the embodiments of this application, under the division method of reserve heart rate zone, the user's heart rate zone may include more, fewer, or different zones than the above embodiments. The exercise intensity corresponding to the heart rate zone may also include more, fewer, or different exercise intensity than the above embodiments. This application does not limit this.

[0097] Figure 1C shows a schematic diagram illustrating the correspondence between a lactate threshold heart rate zone division method and exercise intensity provided in an embodiment of this application.

[0098] As shown in Figure 1C, under the lactate threshold interval division method, the heart rate interval can be divided into multiple intervals, and each interval can correspond to an exercise intensity. For example, the exercise intensity from low to high includes warm-up and cool-down, basic aerobic exercise, advanced aerobic exercise, lactate threshold, and anaerobic exercise, etc.; the heart rate intervals corresponding to the above exercise intensities are as follows: warm-up and cool-down corresponds to the heart rate interval [106, 127], basic aerobic exercise corresponds to the heart rate interval [127, 141], advanced aerobic exercise corresponds to the heart rate interval [141, 154], lactate threshold corresponds to the heart rate interval [154, 162], and anaerobic exercise corresponds to the heart rate interval [162, +∞), etc. It should be noted that the values ​​of the heart rate intervals here are just examples. Under the lactate threshold interval division method, the value range of each heart rate interval can also be other values, and the value range of each heart rate interval can also be adjusted based on the user's operation. This application does not limit this.

[0099] It is understood that the embodiment shown in Figure 1C is only an example. In the embodiments of this application, under the division method of lactate threshold interval, the user's heart rate interval may include more, fewer, or different intervals than the above embodiments. The exercise intensity corresponding to the heart rate interval may also include more, fewer, or different exercise intensity than the above embodiments. This application does not limit this.

[0100] It is understood that the embodiments shown in Figures 1A-1C are only three examples. In the embodiments of this application, different heart rate zone division methods than those in the above embodiments may also be adopted. In addition, the correspondence between exercise intensity and heart rate zone may also be different from those in the above embodiments. This application does not limit these methods.

[0101] The following is a schematic diagram of the device configuration of an electronic device 100 provided in an embodiment of this application.

[0102] Figure 2A shows a schematic diagram of the device configuration of an electronic device 100 provided in an embodiment of this application.

[0103] As shown in Figure 2A, the electronic device 100 can be a wristband, and may include a watch body 11 and a watch band 12. In some embodiments, the watch band 12 of the electronic device 100 may be provided with an air bladder 13, and the electronic device 100 may also include a micro-pump (not shown in the figure). In this case, the electronic device 100 can inflate the air bladder 13 through the micro-pump to measure the user's blood pressure. In other embodiments, the watch body 11 of the electronic device 100 may be provided with contact points (not shown in Figure 2A), and the contact points may be connected to an electrocardiogram (ECG) module and / or a fingertip photoplethysmography (PPG) module. In this case, when the user wears the electronic device 100, they can touch the contact points with the hand that is not wearing the electronic device 100 to measure the user's blood pressure through the ECG module and the fingertip PPG module. In some embodiments, the electronic device 100 may also measure the user's heart rate through a PPG module (e.g., a bottom PPG module or a fingertip PPG module).

[0104] It is understood that the embodiment shown in Figure 2A above is only an example. In the embodiments of this application, the electronic device 100 can be the bracelet shown in Figure 2A above, or it can be a wearable device such as a watch, smart glasses, smart brooch, or smart ring. In other embodiments, the electronic device 100 can also be other forms of electronic devices such as a mobile phone that includes contact points, an ECG module, and a fingertip (or wrist) PPG module. This application does not limit it here.

[0105] Figure 2B shows a schematic diagram of the system architecture of a measurement system 10 provided in an embodiment of this application.

[0106] As shown in Figure 2B, the measurement system 10 may include electronic device 100 and electronic device 200.

[0107] The electronic device 100 can measure the user's physiological data before, during, and after exercise, such as blood pressure and heart rate. Based on the measured physiological data before, during, and after exercise, the electronic device 100 can determine a heart rate recommendation prompt 1, which is used to suggest a recommended heart rate range 1 and / or recommended exercise intensity for the next exercise session.

[0108] In some embodiments, electronic device 100 can send a recommended heart rate zone 1 and / or recommended exercise intensity to electronic device 200, and electronic device 200 can display a heart rate recommendation prompt 1. In other embodiments, electronic device 100 can send measured physiological data (e.g., pre-exercise physiological data, during-exercise physiological data, and post-exercise physiological data) to electronic device 200 in real time, and electronic device 200 can determine and output a heart rate recommendation prompt 1 based on the received physiological data. In some embodiments, electronic device 200 can also determine and output a heart rate recommendation prompt 2 for the current exercise based on historically measured physiological data, as well as pre-exercise and during-exercise physiological data for the current exercise. The heart rate recommendation prompt 2 is used to prompt the user for the recommended heart rate zone 2 and / or recommended exercise intensity for the current exercise.

[0109] It should be noted that, in the measurement system 10, the device form of the electronic device 100 can be referred to the relevant description in the embodiment shown in Figure 1A above, and will not be repeated here. In addition, the electronic device 200 can be an electronic device with a display screen, such as a smartphone, tablet computer, computer, smart TV, wearable device, etc., and this application does not limit the specific device form of the electronic device 200.

[0110] It is understood that the embodiment shown in Figure 2B is only an example. In the embodiments of this application, the measurement system 10 may include more or different electronic devices than those in the above embodiments, and this application does not limit it.

[0111] The hardware structure of an electronic device 100 provided in the embodiments of this application is described below.

[0112] Figure 2C shows a schematic diagram of the hardware structure of an electronic device 100 provided in an embodiment of this application.

[0113] Electronic device 100 can be a wearable device (also called a wearable device) such as a watch, bracelet, smart glasses, smart ring, or smart brooch; it can also be a mobile phone, tablet computer, desktop computer, laptop computer, handheld computer, laptop, ultra-mobile personal computer (UMPC), netbook, cellular phone, personal digital assistant (PDA), augmented reality (AR) device, virtual reality (VR) device, artificial intelligence (AI) device, wearable device, in-vehicle device, smart home device, and / or smart city device. This application embodiment does not impose any special restrictions on the specific type of electronic device.

[0114] Electronic device 100 may include a processor 110, internal memory 121, charging management module 140, power management module 141, battery 142, wireless communication module 160, sensor module 180, display screen 194, photoplethysmography (PPG) module 195, etc. Optionally, electronic device 100 may also include any one or more of the following: external memory interface 120, universal serial bus (USB) interface 130, audio module 170, buttons 190, motor 191, indicator 192, electrocardiogram (ECG) module 193, airbag 196, and micro-pump 197, etc.

[0115] The sensor module 180 may include a pressure sensor 180A and a touch sensor 180K. Optionally, the sensor module 180 may also include one or more of the following sensors: gyroscope sensor, barometric pressure sensor, magnetic sensor, accelerometer, distance sensor, proximity sensor, fingerprint sensor, temperature sensor, ambient light sensor, etc.

[0116] It is understood that the structures illustrated in the embodiments of this application do not constitute a specific limitation on the electronic device 100. In other embodiments of this application, the electronic device 100 may include more or fewer components than illustrated, or combine some components, or split some components, or have different component arrangements. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

[0117] Processor 110 may include one or more processing units, such as application processor (AP), modem processor, graphics processing unit (GPU), image signal processor (ISP), controller, video codec, digital signal processor (DSP), baseband processor, and / or neural network processing unit (NPU). These different processing units may be independent devices or integrated into one or more processors.

[0118] The controller can generate operation control signals based on the instruction opcode and timing signals to complete the control of instruction fetching and execution.

[0119] The processor 110 may also include a memory for storing instructions and data. In some embodiments, the memory in the processor 110 is a cache memory. This memory can store instructions or data that the processor 110 has just used or that are used repeatedly. If the processor 110 needs to use the instruction or data again, it can retrieve it directly from the memory. This avoids repeated accesses, reduces the waiting time of the processor 110, and thus improves the efficiency of the system.

[0120] In some embodiments, the processor 110 may include one or more interfaces. Interfaces may include an inter-integrated circuit (I2C) interface, an inter-integrated circuit sound (I2S) interface, a pulse code modulation (PCM) interface, a universal asynchronous receiver / transmitter (UART) interface, a mobile industry processor interface (MIPI), a general-purpose input / output (GPIO) interface, a subscriber identity module (SIM) interface, and / or a universal serial bus (USB) interface, etc.

[0121] USB port 130 is a USB standard compliant interface, specifically a Mini USB port, Micro USB port, USB Type-C port, etc. USB port 130 can be used to connect a charger to charge electronic device 100, and can also be used for data transfer between electronic device 100 and peripheral devices. It can also be used to connect headphones for audio playback. This interface can also be used to connect other electronic devices, such as AR devices.

[0122] The charging management module 140 receives charging input from a charger. The charger can be a wireless charger or a wired charger. In some wired charging embodiments, the charging management module 140 receives charging input from the wired charger via the USB interface 130. In some wireless charging embodiments, the charging management module 140 receives wireless charging input via the wireless charging coil of the electronic device 100. While charging the battery 142, the charging management module 140 can also supply power to the electronic device via the power management module 141.

[0123] The power management module 141 connects the battery 142, the charging management module 140, and the processor 110. The power management module 141 receives input from the battery 142 and / or the charging management module 140, and supplies power to the processor 110, internal memory 121, display screen 194, and wireless communication module 160, etc. The power management module 141 can also monitor parameters such as battery capacity, battery cycle count, and battery health status (leakage current, impedance). In some other embodiments, the power management module 141 may also be located within the processor 110. In other embodiments, the power management module 141 and the charging management module 140 may be located in the same device.

[0124] The wireless communication module 160 can provide solutions for wireless communication applied to the electronic device 100, including wireless local area networks (WLANs) (such as wireless fidelity (Wi-Fi) networks), Bluetooth (BT), global navigation satellite system (GNSS), frequency modulation (FM), near field communication (NFC), infrared (IR), NearLink, and intrabody communication (IBC). For example, when two electronic devices communicate using an IBC solution, both devices have at least one electrode that contacts the skin, through which they send and receive information via the human body. The wireless communication module 160 can be one or more devices integrating at least one communication processing module.

[0125] In some embodiments, the electronic device 100 may include an antenna, and the wireless communication module 160 may be coupled to the antenna, enabling the electronic device 100 to communicate with a network and other devices via wireless communication technology. The wireless communication technology may include Global System for Mobile Communications (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Time-Division Code Division Multiple Access (TD-SCDMA), Long Term Evolution (LTE), BT, GNSS, WLAN, NFC, FM, and / or IR technologies, etc. The GNSS may include Global Positioning System (GPS), Global Navigation Satellite System (GLONASS), BeiDou Navigation Satellite System (BDS), Quasi-Zenith Satellite System (QZSS), and / or Satellite Based Augmentation Systems (SBAS).

[0126] Electronic device 100 implements display functions through a GPU, a display screen 194, and an application processor. The GPU is a microprocessor for image processing, connected to the display screen 194 and the application processor. The GPU is used to perform mathematical and geometric calculations and for graphics rendering. Processor 110 may include one or more GPUs, which execute program instructions to generate or modify display information.

[0127] Display screen 194 is used to display images, videos, etc. Display screen 194 includes a display panel. The display panel can be a liquid crystal display (LCD), or it can be manufactured using organic light-emitting diodes (OLEDs), active-matrix organic light-emitting diodes (AMOLEDs), flexible light-emitting diodes (FLEDs), minimized LEDs, microLEDs, micro-OLEDs, quantum dot light-emitting diodes (QLEDs), etc. In some embodiments, electronic device 100 may include one or N displays 194, where N is a positive integer greater than 1.

[0128] Internal memory 121 may include one or more random access memory (RAM) and one or more non-volatile memory (NVM). The RAM can be directly read and written by the processor 110 and can be used to store executable programs (e.g., machine instructions) of the operating system or other running programs, as well as user and application data. The NVM can also store executable programs and user and application data, and can be pre-loaded into the RAM for direct read and write operations by the processor 110.

[0129] The external memory interface 120 can be used to connect to external non-volatile memory, thereby expanding the storage capacity of the electronic device 100. The external non-volatile memory communicates with the processor 110 through the external memory interface 120 to perform data storage functions. For example, music, video, and other files can be stored in the external non-volatile memory.

[0130] The audio module 170 may include one or more of the following: a speaker 170A, a receiver 170B, a microphone 170C, etc. The electronic device 100 can implement audio functions, such as music playback and recording, through the audio module 170 and an application processor.

[0131] The audio module 170 is used to convert digital audio information into analog audio signals for output, and also to convert analog audio input into digital audio signals. The audio module 170 can also be used for encoding and decoding audio signals. In some embodiments, the audio module 170 may be located in the processor 110, or some functional modules of the audio module 170 may be located in the processor 110.

[0132] The speaker 170A, also known as a "loudspeaker," is used to convert audio electrical signals into sound signals. The electronic device 100 can listen to music or make hands-free calls through the speaker 170A.

[0133] The receiver 170B, also known as the "earpiece," is used to convert audio electrical signals into sound signals. When the electronic device 100 answers a telephone call or voice message, the receiver 170B can be brought close to the ear to listen to the voice.

[0134] Microphone 170C, also known as a "microphone" or "voice transducer," is used to convert sound signals into electrical signals. When making a phone call or sending a voice message, the user can speak by bringing their mouth close to microphone 170C, inputting the sound signal into microphone 170C. Electronic device 100 may have at least one microphone 170C. In some embodiments, electronic device 100 may have two microphones 170C, which, in addition to collecting sound signals, can also perform noise reduction. In other embodiments, electronic device 100 may also have three, four, or more microphones 170C, which can collect sound signals, reduce noise, identify the sound source, and perform directional recording, etc.

[0135] Pressure sensor 180A is used to sense pressure signals and convert them into electrical signals. In some embodiments, pressure sensor 180A can be disposed on display screen 194. There are many types of pressure sensors 180A, such as resistive pressure sensors, inductive pressure sensors, and capacitive pressure sensors. A capacitive pressure sensor may include at least two parallel plates with conductive material. When force is applied to pressure sensor 180A, the capacitance between the electrodes changes. Electronic device 100 determines the pressure intensity based on the change in capacitance. When a touch operation is applied to display screen 194, electronic device 100 detects the intensity of the touch operation based on pressure sensor 180A. Electronic device 100 can also calculate the touch position based on the detection signal from pressure sensor 180A. In some embodiments, touch operations applied to the same touch position but with different touch operation intensities can correspond to different operation commands. For example, when a touch operation with an intensity less than a first pressure threshold is applied to the SMS application icon, a command to view an SMS is executed. When a touch operation with an intensity greater than or equal to the first pressure threshold is applied to the SMS application icon, a command to create a new SMS is executed. In some embodiments, the pressure sensor 180A can also measure the user's blood pressure.

[0136] Touch sensor 180K, also known as a "touch device," can be located on display screen 194. The touch sensor 180K and display screen 194 together form a touchscreen, also known as a "touchscreen." Touch sensor 180K detects touch operations applied to or near it. The touch sensor can transmit the detected touch operation to the application processor to determine the type of touch event. Visual output related to the touch operation can be provided through display screen 194. In other embodiments, touch sensor 180K may also be located on the surface of electronic device 100, in a different position than display screen 194.

[0137] In some embodiments, the sensor module 180 of the electronic device 100 may further include one or more of the following sensors: a temperature sensor, an acceleration sensor, a gyroscope sensor, a magnetic sensor, etc.

[0138] A temperature sensor is used to detect temperature. In some embodiments, the electronic device 100 can measure a user's body temperature using a temperature sensor. In other embodiments, the electronic device 100 can also measure the temperature of the user's environment using a temperature sensor.

[0139] A gyroscope sensor can be used to determine the motion attitude of an electronic device 100. In some embodiments, the angular velocity of the electronic device 100 about three axes (i.e., the x, y, and z axes) can be determined by the gyroscope sensor.

[0140] An accelerometer can detect the magnitude of acceleration of electronic device 100 in various directions (generally three axes). When electronic device 100 is stationary, the magnitude and direction of gravity can be detected.

[0141] Magnetic sensors can be used to detect ambient magnetic fields. In some embodiments, a magnetic sensor may include a Hall effect sensor.

[0142] Buttons 190 include a power button, volume buttons, etc. Buttons 190 can be mechanical buttons or touch-sensitive buttons. Electronic device 100 can receive button input and generate key signal inputs related to user settings and function control of electronic device 100.

[0143] Motor 191 can generate vibration alerts. Motor 191 can be used for incoming call vibration alerts or for touch vibration feedback. For example, different vibration feedback effects can correspond to touch operations performed on different applications (such as taking photos, playing audio, etc.). Motor 191 can also correspond to different vibration feedback effects for touch operations performed on different areas of the display screen 194. Different application scenarios (such as time reminders, receiving messages, alarm clocks, games, etc.) can also correspond to different vibration feedback effects. The touch vibration feedback effect can also be customized.

[0144] Indicator 192 can be an indicator light, used to indicate charging status, power changes, or to indicate messages, missed calls, notifications, etc.

[0145] In some embodiments, the electronic device 100 may include one or more PPG modules 195. The PPG module 195 may include a transmitter and a receiver; the transmitter may emit infrared or green light, and the receiver may receive infrared or green light reflected from biological tissue (e.g., skin, blood, etc.). The PPG module 195 can measure PPG signals; in this embodiment, the PPG signal can be used to measure heart rate, and optionally, it can also be used to measure blood pressure. In other embodiments, the PPG module 195 may be replaced with other devices capable of measuring heart rate.

[0146] In some embodiments, the electronic device 100 may further include an electrocardiogram (ECG) module 193, which can measure the user's electrocardiogram signal and can be used to determine whether the user has cardiovascular risks.

[0147] In some embodiments, the electronic device 100 may further include an airbag 196 and a micro-pump 197. The electronic device 100 can inflate the airbag 196 via the micro-pump 197 and measure the user's blood pressure in conjunction with a sensor module 180 (e.g., a pressure sensor 180A).

[0148] It should be noted that the hardware of the electronic device 200 can refer to the relevant description in the embodiment shown in Figure 2C above. The difference is that the electronic device 200 may not include devices for measuring physiological data such as heart rate, blood pressure and electrocardiogram signals. For example, it may not include PPG modules, airbags, micro pumps, ECG modules, etc. This application does not limit it here.

[0149] This application provides a measurement method in which an electronic device 100 can preset a correspondence between heart rate zones and exercise intensity. Before a user exercises, the electronic device 100 can acquire the user's pre-exercise physiological data 1 (including heart rate 1 and blood pressure 1); during exercise, the electronic device 100 can acquire the exercise-related physiological data 2 (including heart rate 2); after the user finishes exercising, the electronic device 200 can acquire the post-exercise physiological data 3 (including heart rate 3 and blood pressure 3). Based on physiological data 1, physiological data 2, physiological data 3, and the correspondence between heart rate zones and exercise intensity, the electronic device 100 can determine and output a heart rate recommendation prompt 1, which is used to suggest a recommended heart rate zone and / or recommended exercise intensity for the user's next exercise.

[0150] In this way, the electronic device 100 can not only determine the user's health status and exercise status based on physiological data before, during and after exercise, but also prompt the user for the recommended heart rate zone and / or recommended exercise intensity for the next exercise, providing guidance for subsequent exercise. Furthermore, it can also prompt the user to avoid strenuous exercise if a health risk is detected, thus improving the user's safety.

[0151] The following describes the logic of the measurement method provided in the embodiments of this application.

[0152] Figure 3 shows a schematic diagram of the logic of a measurement method provided in an embodiment of this application.

[0153] As shown in Figure 3, before exercise, heart rate and blood pressure can be measured, with the user's heart rate 1 and blood pressure 1 measured before exercise. During exercise, heart rate can be measured, with the heart rate 2 measured during exercise. Optionally, blood pressure can also be measured during exercise, with the user's blood pressure 2 measured during exercise. After exercise, heart rate and blood pressure can be measured, with the user's heart rate 3 and blood pressure 3 measured after exercise. Then, based on the heart rate 1 and blood pressure 1 before exercise, the heart rate 2 during exercise (or the heart rate 2 and blood pressure 2 during exercise), and the heart rate 3 and blood pressure 3 after exercise, a heart rate recommendation prompt 1 can be determined and output. The heart rate recommendation prompt 1 includes a recommended heart rate zone and / or a recommended exercise intensity. The recommended heart rate zone is used to indicate the recommended heart rate zone for the next exercise, and the recommended exercise intensity is used to indicate the recommended exercise intensity for the next exercise.

[0154] It is understood that the embodiment shown in Figure 3 is only an example. In the embodiments of this application, more or different physiological parameters (such as electrocardiogram signal, blood oxygen saturation, etc.) than those in the above embodiments can be measured before, during and after exercise. In some embodiments, heart rate and blood pressure can also be measured after multiple exercises. This application does not limit these parameters.

[0155] The following describes the flow of a measurement method provided in an embodiment of this application.

[0156] Figure 4 shows a flowchart of a measurement method provided in an embodiment of this application.

[0157] As shown in Figure 4, the specific process of a measurement method may include the following steps:

[0158] S401. Electronic device 100 receives user operation 1.

[0159] In some embodiments, user action 1 can be used to trigger electronic device 100 to enable the exercise health monitoring function. After enabling the exercise health monitoring function, electronic device 100 can measure the user's physiological data 1 before exercise, i.e., perform the following step S403.

[0160] In some embodiments, the user's operation 1 may also be an operation that triggers the electronic device 100 to measure physiological data 1 before exercise.

[0161] It should be noted that, in the embodiments of this application, operation 1 may be an operation by the user on the display screen of the electronic device 100, an operation on the mechanical buttons of the electronic device 100, or a user gesture operation, etc., which are not limited here.

[0162] S402. Electronic device 100 acquires the correspondence between preset heart rate zones and exercise intensity.

[0163] In some embodiments, the electronic device 100 may pre-store one or more correspondences between heart rate zones and exercise intensity. For example, these correspondences may include any one or more of the following: a correspondence between heart rate zones and exercise intensity under a maximum heart rate zone division method; a correspondence between heart rate zones and exercise intensity under a reserve heart rate zone division method; and a correspondence between heart rate zones and exercise intensity under a lactate threshold heart rate zone division method. The correspondence between heart rate zones and exercise intensity under the maximum heart rate zone division method can be referred to the relevant description in the embodiment shown in Figure 1A above; the correspondence between heart rate zones and exercise intensity under the reserve heart rate zone division method can be referred to the relevant description in the embodiment shown in Figure 1B above; and the correspondence between heart rate zones and exercise intensity under the lactate threshold heart rate zone division method can be referred to the relevant description in the embodiment shown in Figure 1C above.

[0164] It should be noted that the correspondence between heart rate zones and exercise intensity stored in electronic device 100, as well as the value range of each heart rate zone, can be set at the factory or based on user operation settings. Users can adjust the value range of each heart rate zone according to their own situation.

[0165] In some embodiments, when the electronic device 100 stores multiple correspondences between heart rate zones and exercise intensity, the electronic device 100 can determine the correspondence between heart rate zones and exercise intensity for the current exercise based on priority and / or the user's selection of a heart rate zone division method. For example, if the electronic device 100 stores the aforementioned maximum heart rate zone division method and reserve heart rate zone division method, and the maximum heart rate zone has the highest priority, the electronic device 100 can default to using the correspondence between heart rate zones and exercise intensity under the maximum heart rate zone division method. As another example, if the electronic device 100 stores the aforementioned maximum heart rate zone division method and reserve heart rate zone division method, and receives a user's selection of a reserve heart rate zone, the electronic device 100 can use the correspondence between heart rate zones and exercise intensity under the reserve heart rate zone division method. In other embodiments, the electronic device 100 can also default to using the correspondence between heart rate zones and exercise intensity used in the previous exercise if the user does not select a heart rate zone division method. In other embodiments, the electronic device 100 can also determine the correspondence between heart rate zones and exercise intensity for the current exercise based on the user's current exercise mode (and / or exercise type).

[0166] It is understood that the embodiments described herein are merely illustrative. When multiple correspondences between heart rate zones and exercise intensity are stored, the correspondence between the heart rate zone used in this exercise and the exercise intensity can be determined based on one or more factors such as user selection, historical usage records, priority, exercise mode (or exercise type). In other embodiments, the electronic device 100 may also determine the correspondence between heart rate zones and exercise intensity based on more, fewer, or different factors than those described above, or by adopting a method different from the above embodiments. This application does not limit this.

[0167] In some embodiments, if the electronic device 100 detects that no correspondence between heart rate zones and exercise intensity has been set after receiving user operation 1, it can output a heart rate zone setting prompt. This prompt can be used to advise the user to set the range of heart rate zones and / or the correspondence between heart rate zones and exercise intensity. Afterward, the electronic device 100 can determine the correspondence between heart rate zones and exercise intensity based on the user's settings.

[0168] S403. Electronic device 100 measures physiological data 1 before exercise, including heart rate 1 and blood pressure 1.

[0169] In response to user operation 1, electronic device 100 may execute step S403. In some embodiments, electronic device 100 may simultaneously measure heart rate 1 and blood pressure 1; in other embodiments, electronic device 100 may measure heart rate 1 first and then blood pressure 1, or measure blood pressure 1 first and then heart rate 1, which is not limited herein.

[0170] Electronic device 100 can measure a user's heart rate using a heart rate sensor (such as a bottom PPG module, a fingertip PPG module, etc.).

[0171] In one possible implementation, the electronic device 100 can measure the user's blood pressure via a micro-pump, an airbag, and a pressure sensor. In another possible implementation, the electronic device 100 can also measure the user's blood pressure via an ECG module and a fingertip PPG module. In yet another possible implementation, the electronic device 100 can also measure the user's blood pressure via a base plate PPG module, etc. It is understood that the embodiments described here are merely three examples. In the embodiments of this application, the electronic device 100 may employ more, fewer, or different methods than those described in the above embodiments, or combine multiple methods mentioned in the above embodiments to measure the user's blood pressure. This application does not impose limitations here.

[0172] In some embodiments, physiological data 1 may include heart rate 1 and blood pressure 1. Heart rate 1 may be the heart rate measured by the user before exercise (or at rest before exercise); blood pressure 1 may be the blood pressure (including systolic and diastolic pressure) measured by the user before exercise (or at rest before exercise). It should be noted that heart rate 1 may be the average heart rate monitored by the user over a period of time before exercise (e.g., 1 minute, or 3 minutes), or the heart rate value at any moment within that period, or the mode or median of the heart rate during that period, etc., which is not limited herein. Similarly, blood pressure 1 may be the average blood pressure monitored by the user over a period of time before exercise (e.g., 1 minute, or 3 minutes), or the blood pressure value at any moment within that period, or the mode or median of the blood pressure during that period, etc., which is not limited herein.

[0173] S404. Electronic device 100: Determine if there is a risk to cardiac function.

[0174] Steps S404-S405 are optional.

[0175] In some embodiments, the electronic device 100 can determine whether a user has a risk of cardiac function based on physiological data 1. For example, the electronic device 100 can determine whether a user has a risk of cardiac function based on the relationship between heart rate 1 in physiological data 1 and preset resting heart rate thresholds (e.g., resting heart rate threshold 1, resting heart rate threshold 2, etc.); if heart rate 1 is greater than resting heart rate threshold 1, or heart rate 1 is less than resting heart rate threshold 2, then a risk of cardiac function is determined to exist; if heart rate 1 is less than resting heart rate threshold 1 and greater than resting heart rate threshold 2, then no risk of cardiac function is determined to exist. For example, electronic device 100 can determine whether a user has a risk of cardiac function based on the relationship between blood pressure 1 in physiological data 1 and preset resting blood pressure threshold values ​​(e.g., resting systolic blood pressure threshold 1, resting systolic blood pressure threshold 2, resting diastolic blood pressure threshold 1, resting diastolic blood pressure threshold 2, etc.). If the systolic blood pressure in blood pressure 1 is greater than the resting systolic blood pressure threshold 1, or the systolic blood pressure in blood pressure 1 is less than the resting systolic blood pressure threshold 2, or the diastolic blood pressure in blood pressure 1 is greater than the resting diastolic blood pressure threshold 1, or the diastolic blood pressure in blood pressure 1 is less than the resting diastolic blood pressure threshold 2, then a risk of cardiac function is determined to exist. If the systolic blood pressure in blood pressure 1 is less than the resting systolic blood pressure threshold 1 and greater than the resting systolic blood pressure threshold 2, and the diastolic blood pressure in blood pressure 1 is less than the resting diastolic blood pressure threshold 1 and greater than the resting diastolic blood pressure threshold 2, then no risk of cardiac function is determined to exist.

[0176] It is understood that the embodiments described above are just two examples. In the embodiments of this application, the electronic device 100 may also use different methods than those described above to determine whether there is a risk to cardiac function. This application does not limit this.

[0177] In other embodiments, if the electronic device 100 has historical measurement records, the electronic device 100 can also combine the historical measurement records to determine whether the user has a risk of cardiac function.

[0178] For example, the specific method by which the electronic device 100 determines whether there is a risk to cardiac function can be referred to the relevant description in the embodiment shown in Figure 5 below, which will not be detailed here.

[0179] If it is determined that the user has a risk of cardiac dysfunction, the electronic device 100 may perform the following step S405.

[0180] If it is determined that the user does not have any risk to cardiac function, the electronic device 100 may perform the following step S406.

[0181] S405. Electronic device 100 outputs a risk warning, which is used to alert the user to potential cardiac function risks.

[0182] Electronic device 100 can output risk warnings through one or more methods such as display screen, voice broadcast, indicator light flashing, and vibration.

[0183] For example, a risk warning may include text such as "A risk to cardiac function has been detected. We recommend that you avoid strenuous exercise," or "Your blood pressure has been detected to be too high. We recommend that you stop this exercise."

[0184] S406. Electronic device 100 detects that the user has started moving.

[0185] In one possible implementation, the electronic device 100 can determine the start of user movement using one or more devices such as an accelerometer, gyroscope, magnetometer, or satellite positioning module. Optionally, the electronic device 100 can also determine the type of user movement based on the aforementioned devices.

[0186] In another possible implementation, the electronic device 100 may determine that the user has started moving based on the user's action of starting to move, or determine the user's action of starting to move and determining the user's movement type based on the user's action of selecting a movement type.

[0187] It is understood that the embodiments described here are only two examples. In the embodiments of this application, the electronic device 100 may also determine whether the user has started to move based on other methods, and this application does not limit it here.

[0188] S407. Electronic device 100 outputs a motion prompt, which is used to prompt the user to start exercising.

[0189] Step S407 is an optional step.

[0190] In some embodiments, exercise prompts may include, but are not limited to, any one or more of the following: exercise duration, exercise type, pace, calorie consumption, real-time heart rate, exercise intensity, and oxygen consumption. Optionally, the content displayed in the exercise prompts may differ depending on the user's exercise type.

[0191] S408. Electronic device 100 measures physiological data 2 during exercise, including heart rate 2.

[0192] During exercise, the electronic device 100 can measure the heart rate signal during exercise and determine the heart rate 2 based on the heart rate signal during exercise. It should be noted that the heart rate 2 can be the average heart rate monitored by the user over a period of time during exercise (e.g., 3 minutes, 5 minutes, 15 minutes, or 30 minutes), or the heart rate value at any moment during that period, or the mode or median of the heart rate during that period, etc., which is not limited in this application. In some other embodiments, the electronic device 100 can also determine the heart rate 2 by combining historical heart rate records and the heart rate signal during the current exercise, for example, by determining the heart rate 2 based on the mean of historical heart rate records and the mean of the heart rate signal during the current exercise, which is also not limited in this application.

[0193] In some embodiments, the electronic device 100 may also output an adjustment prompt or a maintenance prompt based on the measured heart rate 2. The adjustment prompt may be used to prompt the user to increase or decrease the current heart rate (or exercise intensity) so that the heart rate falls within the recommended heart rate range 2 for this exercise; the maintenance prompt may be used to prompt the user to maintain the current heart rate (or exercise intensity) so that the heart rate remains within the recommended heart rate range 2 for this exercise.

[0194] For example, the specific method by which the electronic device 100 determines the recommended heart rate zone 2 for this exercise can be referred to the relevant description in the embodiment shown in Figure 6 below, which will not be detailed here.

[0195] The specific process of the electronic device 100 outputting an adjustment prompt or a hold prompt based on heart rate 2 can be referred to the relevant description in the embodiment shown in Figure 7 below, which will not be detailed here.

[0196] In some embodiments, the specific method by which the electronic device 100 measures the user's heart rate 2 during exercise can be referred to the relevant description in the embodiment shown in Figure 11 below, which will not be detailed here.

[0197] S409. Electronic device 100 detects that the user has finished exercising and measures physiological data 3 after exercise, including heart rate 3 and blood pressure 3.

[0198] In one possible implementation, the electronic device 100 can receive and respond to the user's action to end the exercise, thus determining that the user has ended the exercise. In another possible implementation, the electronic device 100 can detect the user's movement using one or more devices such as an accelerometer, gyroscope, magnetometer, or satellite positioning module, until the user stops moving, and the duration of the stoppage reaches a preset duration (e.g., 3 minutes or 5 minutes), at which point the electronic device 100 determines that the user has ended the exercise. Optionally, the electronic device 100 can also output a movement end prompt when the detected stoppage duration reaches the preset duration, asking the user whether they wish to end the exercise. Afterward, the electronic device 100 can determine the end of the exercise based on the user's action to end the exercise.

[0199] In some embodiments, the electronic device 100 can measure heart rate and blood pressure multiple times after the user finishes exercising. For example, taking the measurement of heart rate and blood pressure three times after exercise as an example, the specific process of the electronic device 100 measuring the user's physiological data 3 after exercise can be referred to the relevant content in the embodiment shown in Figure 8 below, which will not be described in detail here.

[0200] S410. Electronic device 100 determines the recommended heart rate zone 1 and / or recommended exercise intensity for the next exercise based on the correspondence between heart rate zones and exercise intensity, physiological data 1, physiological data 2 and physiological data 3.

[0201] In some embodiments, the specific method by which the electronic device 100 determines the recommended heart rate zone 1 and / or the recommended exercise intensity can be referred to the relevant content in the embodiments shown in Figures 9A-9B below, which will not be described in detail here.

[0202] S411. Electronic device 100 outputs heart rate recommendation prompt 1, which includes recommended heart rate zone 1 and / or recommended exercise intensity.

[0203] The electronic device 100 can output heart rate recommendation prompt 1 through one or more methods such as display screen, voice broadcast, indicator light flashing, vibration, etc. The heart rate recommendation prompt 1 is used to prompt the user for the recommended heart rate zone 1 for the next exercise and / or the recommended exercise intensity for the next exercise.

[0204] Using the measurement method provided in this application, the electronic device 100 can determine and output a heart rate recommendation prompt 1 based on the user's physiological data before, during, and after exercise. The heart rate recommendation prompt 1 is used to suggest the user the recommended heart rate range and / or recommended exercise intensity for the next exercise session. In this way, the user can reasonably arrange the intensity of the next exercise according to their own health condition, improving the safety of the user's exercise and also improving the efficiency of the user's training.

[0205] The following describes a process for determining whether a user has cardiac function risks, provided by an embodiment of this application.

[0206] Figure 5 shows a schematic diagram of a process for determining whether a user has cardiac function risks, provided by an embodiment of this application.

[0207] As shown in Figure 5, a specific process for determining whether a user has cardiac function risks may include the following steps:

[0208] S501. Electronic device 100 determines whether it is the first measurement.

[0209] Steps S501-S502 are optional.

[0210] In some embodiments, the electronic device 100 may determine whether it is the first measurement based on whether historical measurement records are stored. If historical measurement records are stored, it is determined that it is not the first measurement; if no historical measurement records are stored, it is determined that it is the first measurement.

[0211] If the electronic device 100 determines that this exercise and health measurement is the first measurement, the electronic device 100 may perform the following step S503.

[0212] If the electronic device 100 determines that this exercise and health measurement is not the first measurement, the electronic device 100 may perform the following step S502.

[0213] S502. Electronic device 100 determines whether there is a risk to cardiac function based on historical measurement records.

[0214] In some embodiments, in cases where it is not the first measurement, the electronic device 100 can determine whether there is a risk to cardiac function based on historical measurement records.

[0215] In one possible implementation, where one or more historical measurement records exist, each historical measurement record may include cardiovascular risk level and blood pressure response. Electronic device 100 can determine whether a user has cardiac function risk based on cardiovascular risk level and / or blood pressure response. For example, if the cardiovascular risk level is intermediate or high, then cardiac function risk is determined to exist; if the cardiovascular risk level is low, then cardiac function risk is determined not to exist. As another example, if the blood pressure response is abnormal, then cardiac function risk is determined to exist; if the blood pressure response is normal, then cardiac function risk is determined not to exist. Abnormal blood pressure response refers to any of the following: slow blood pressure recovery, hypertension response, hypotension response, abnormal pre-exercise blood pressure response, decreased cardiac reserve capacity, etc. It should be noted that the embodiments described here are only two examples. In the embodiments of this application, electronic device 100 can also determine whether a user has cardiac function risk based on cardiovascular risk level and blood pressure response, or it can use more, fewer, or different methods than the above embodiments to determine whether a user has cardiac function risk. This application does not limit this.

[0216] If, based on historical measurement records, it is determined that there is no risk to cardiac function, in some embodiments, the electronic device 100 may perform step S504. In other embodiments, the electronic device 100 may perform step S503 to further determine whether there is a risk to cardiac function based on physiological data 1.

[0217] If a risk to cardiac function is determined based on historical measurement records, the electronic device 100 may perform the following step S505.

[0218] S503. Electronic device 100 determines whether there is a risk to cardiac function based on physiological data 1.

[0219] For example, the specific method by which the electronic device 100 determines whether there is a risk to cardiac function based on physiological data 1 can be referred to the relevant description in step S404 of Figure 4 above, and will not be repeated here.

[0220] If it is determined based on physiological data 1 that there is no risk to cardiac function, then electronic device 100 may perform the following step S504.

[0221] If a risk to cardiac function is determined based on physiological data 1, the electronic device 100 may perform the following step S505.

[0222] S504. Electronic device 100 is determined to pose no risk to cardiac function.

[0223] S505. Electronic device 100 is determined to pose a risk to cardiac function.

[0224] Using the measurement method provided in this application, it is possible to determine whether a user has a risk of cardiac function based on pre-exercise physiological data 1 and / or historical measurement data before exercise begins. If the user has a risk of cardiac function, the user can be advised to avoid strenuous exercise, thereby improving the safety of the user's exercise and providing the user with a safer guarantee.

[0225] The following describes a process for determining the recommended heart rate zone for this exercise, provided by an embodiment of this application.

[0226] Figure 6 illustrates a schematic diagram of the process for determining the recommended heart rate zone for this exercise, as provided in an embodiment of this application.

[0227] As shown in Figure 6, the process for determining a recommended heart rate zone for this exercise may include the following steps:

[0228] S601. Electronic device 100 determines the user's motion pattern.

[0229] In some embodiments, exercise modes may include, but are not limited to, any one or more of the following: walking, running, cycling, swimming, dancing, climbing, etc. Each exercise mode may include one or more types of exercise. For example, walking may include, but are not limited to, any one or more of the following: slow walking, race walking, steady walking, etc.; running may include, but are not limited to, any one or more of the following: jogging, marathon, sprinting, treadmill running, etc.; cycling may include, but are not limited to, any one or more of the following: indoor cycling, outdoor cycling, mountain biking, etc.; swimming may include, but are not limited to, any one or more of the following: breaststroke, butterfly stroke, backstroke, freestyle, etc.; dancing may include, but are not limited to, any one or more of the following: yoga, aerobics, street dance, etc.; climbing may include, but are not limited to, any one or more of the following: climbing stairs, mountain climbing, rock climbing, etc. It is understood that this is only an illustrative example illustrating that there can be multiple exercise modes. In the embodiments of this application, the electronic device 100 may store more, fewer, or different exercise modes than the above embodiments, as well as the types of exercise included in the exercise modes, and the correspondence between exercise modes and types of exercise may also be different from the above embodiments. This application does not limit these possibilities.

[0230] In some embodiments, the electronic device 100 may determine the user's exercise mode based on the user's selection of an exercise mode.

[0231] In other embodiments, the electronic device 100 can determine the user's motion pattern through one or more devices such as an accelerometer, a gyroscope, a magnetic sensor, or a satellite positioning module, or it can first determine the motion type and then determine the motion mode based on the correspondence between the motion type and the motion mode.

[0232] S602. Electronic device 100 determines whether it is the first measurement.

[0233] In some embodiments, if the electronic device 100 has previously determined whether it is the first measurement (e.g., in step S501 shown in FIG5), the electronic device 100 can directly determine the subsequent steps based on the result of the previous determination. If the electronic device 100 has not previously determined whether it is the first measurement, the electronic device 100 can refer to the relevant description in step S501 shown in FIG5 above to determine whether this measurement is the first measurement, and determine the subsequent steps based on the determination result.

[0234] If the electronic device 100 determines that this is the first measurement, the electronic device 100 may perform the following step S604.

[0235] If the electronic device 100 determines that this is not the first measurement, the electronic device 100 may perform the following step S603.

[0236] S603. Electronic device 100 determines the recommended heart rate zone 2 and / or recommended exercise intensity for this exercise based on historical measurement records.

[0237] In some embodiments, the electronic device 100 may determine the recommended heart rate zone 2 and the recommended exercise intensity for the current exercise based on historical measurement records.

[0238] In one possible implementation, each historical measurement record stored by the electronic device 100 includes a recommended heart rate zone and / or a recommended exercise intensity. The recommended heart rate zone refers to the recommended heart rate zone for the next exercise session that generated the historical measurement record, and the recommended exercise intensity refers to the recommended exercise intensity for the next exercise session that generated the historical measurement record. The specific method for determining the recommended heart rate zone and / or recommended exercise intensity in each historical measurement record can be referred to the relevant description in step S410 shown in Figure 4 above, and will not be repeated here. The electronic device 100 can determine the recommended heart rate zone and / or recommended exercise intensity from the most recent historical measurement record as the recommended heart rate zone 2 and / or recommended exercise intensity for the current exercise.

[0239] In other embodiments, the electronic device 100 can combine one or more of the exercise mode and physiological data 1 with historical measurement records to determine the recommended heart rate zone 2 and / or recommended exercise intensity for the current exercise. In one possible implementation, the electronic device 100 can determine a recommended exercise intensity and / or recommended heart rate zone based on historical measurement records, and then determine whether the recommended exercise intensity and / or recommended heart rate zone needs to be adjusted based on the exercise mode and / or physiological data 1. For example, if physiological data 1 indicates that the user's heart rate or blood pressure is abnormal before exercise, the recommended exercise intensity and / or recommended heart rate zone can be reduced to determine the recommended exercise intensity and / or recommended heart rate zone 2 for the current exercise.

[0240] It is understood that the embodiments described here are merely examples. In the embodiments of this application, the electronic device 100 may also determine the recommended heart rate zone 2 and / or recommended exercise intensity in a different manner than those described above. This application does not limit this.

[0241] S604. Electronic device 100 determines the recommended heart rate zone 2 and / or recommended exercise intensity for this exercise based on the exercise mode.

[0242] In some embodiments, the electronic device 100 may store a correspondence between exercise patterns and recommended heart rate zones (or recommended exercise intensity).

[0243] For example, Table 1 shows the correspondence between an exercise mode stored in electronic device 100 and recommended heart rate zones and recommended exercise intensity.

[0244] Table 1

[0245] As shown in Table 1, the electronic device 100 stores the correspondence between multiple exercise modes and recommended heart rate zones and recommended exercise intensities. For example, exercise modes may include running, cycling, and swimming. The recommended heart rate zone for running may be [129, 147], and the corresponding recommended exercise intensity may be basic aerobic. The recommended heart rate zone for cycling may be [147, 158], and the corresponding exercise intensity may be advanced aerobic. The push heart rate zone for swimming may be [158, 163], and the corresponding exercise intensity may be lactate threshold.

[0246] It is understood that the embodiments shown in Table 1 are only examples. In the embodiments of this application, the electronic device 100 may also store more, fewer, or different exercise modes than those in the above embodiments, as well as corresponding recommended heart rate zones and recommended exercise intensities. It may also include the correspondence between exercise modes and recommended heart rate zones and recommended exercise intensities that are different from those in the above embodiments. This application does not limit these possibilities.

[0247] In the above embodiments, when the electronic device 100 can store the correspondence between exercise modes and recommended heart rate zones (or recommended exercise intensity), the electronic device 100 can determine the recommended heart rate zone 2 and / or recommended exercise intensity for this exercise based on the exercise mode.

[0248] In other embodiments, the electronic device 100 may also determine a recommended heart rate zone 2 and / or recommended exercise intensity for the current exercise based on the exercise mode and physiological data 1. For example, the electronic device 100 may first determine a recommended exercise intensity and / or recommended heart rate zone based on the exercise mode, and then determine whether the recommended exercise intensity and / or recommended heart rate zone needs to be adjusted based on the physiological data 1. For instance, if the physiological data 1 determines that the user's heart rate or blood pressure is abnormal before exercise, the recommended exercise intensity and / or recommended heart rate zone can be reduced to determine the recommended exercise intensity and / or recommended heart rate zone 2 for the current exercise.

[0249] It is understood that the embodiments described here are merely examples. In the embodiments of this application, the electronic device 100 may also determine the recommended heart rate zone 2 and / or recommended exercise intensity in a different manner than those described above. This application does not limit this.

[0250] S605. Electronic device 100 outputs heart rate recommendation prompt 2, which includes a recommended heart rate zone 2 and / or the recommended exercise intensity for this exercise.

[0251] Step S605 is an optional step.

[0252] In some embodiments, after determining the recommended heart rate zone 2 and / or recommended exercise intensity for the current exercise, the electronic device 100 can output a heart rate recommendation prompt 2, which may include the recommended heart rate zone 2 and / or the recommended exercise intensity for the current exercise. The electronic device 100 may output the heart rate recommendation prompt 2 using one or more methods such as display screen, voice broadcast, indicator light flashing, vibration, etc.

[0253] In one possible implementation, the heart rate recommendation prompt 2 can be a type of exercise prompt, meaning that the exercise prompt in step S407 of Figure 4 can include the heart rate recommendation prompt 2. In another possible implementation, the heart rate recommendation prompt 2 can be output during exercise, for example, when performing step S408 as shown in Figure 4.

[0254] Using the measurement method provided in this application, the recommended heart rate zone 2 and / or the recommended exercise intensity for this exercise can also be determined based on any one or more of historical measurement records, exercise patterns, and physiological data 1, so that users can choose an appropriate exercise intensity, improve the safety of this exercise, and also improve exercise efficiency.

[0255] In some application scenarios, the electronic device 100 can also monitor the user's exercise intensity and output exercise intensity prompts based on the real-time heart rate and the recommended heart rate zone 2 for this exercise. The exercise intensity prompts may include adjustment prompts or maintenance prompts. The exercise intensity prompts are used to prompt the user to adjust / maintain the exercise intensity so that the heart rate is kept within the recommended heart rate zone 2.

[0256] For example, Figure 7 shows a schematic diagram of a process for outputting exercise intensity prompts during exercise, according to an embodiment of this application.

[0257] As shown in Figure 7, a specific process for outputting exercise intensity prompts during exercise may include the following steps:

[0258] S701. Electronic device 100 monitors the user's heart rate during exercise.

[0259] In one possible implementation, during the user's exercise, the electronic device 100 can keep the bottom PPG module constantly open to monitor the user's heart rate in real time.

[0260] In one possible implementation, during the user's exercise, the electronic device 100 can periodically (e.g., at fixed time intervals of 5 minutes, 10 minutes, or 15 minutes) measure the user's heart rate.

[0261] It should be noted that the heart rate measured in step S701 is the user's real-time heart rate during exercise, not the heart rate 2 in step S408 shown in Figure 4 above. During exercise, the user's real-time heart rate can be measured multiple times, and after each real-time heart rate measurement, the electronic device 100 can execute the subsequent steps of step S701.

[0262] S702. Electronic device 100 monitors the user's exercise intensity.

[0263] In some embodiments, after measuring the user's real-time heart rate, the electronic device 100 can determine the exercise intensity corresponding to the heart rate zone to which the measured real-time heart rate belongs, i.e., determine the current exercise intensity, based on the relationship between heart rate zones and exercise intensity.

[0264] S703. Electronic device 100 determines whether the heart rate during exercise falls within the recommended heart rate range 2.

[0265] Recommended heart rate zone 2 is the recommended heart rate zone for this exercise. The method for determining recommended heart rate zone 2 can be referred to the relevant description in the embodiment shown in Figure 6 above, and will not be repeated here.

[0266] If the electronic device 100 determines that the heart rate during exercise falls within the recommended heart rate range 2, then the electronic device 100 may execute the following step S705.

[0267] If the electronic device 100 determines that the heart rate during exercise does not fall within the recommended heart rate range 2, the electronic device 100 may perform the following step S704.

[0268] In another possible implementation, the electronic device 100 can also determine the subsequent steps by judging whether the current motion intensity is consistent with the recommended motion intensity for this motion. The method for determining the recommended motion intensity for this motion can also refer to the relevant description in the embodiment shown in Figure 6 above, and will not be repeated here.

[0269] If the electronic device 100 determines that the current exercise intensity is the same as the recommended exercise intensity for this exercise, the electronic device 100 may perform the following step S705.

[0270] If the electronic device 100 determines that the current exercise intensity is different from the recommended exercise intensity for this exercise, the electronic device 100 may perform the following step S704.

[0271] S704. Electronic device 100 outputs an adjustment prompt based on exercise intensity. The adjustment prompt is used to remind the user to adjust the exercise intensity to ensure that the exercise heart rate is within the recommended heart rate range 2.

[0272] In this embodiment, the adjustment prompt and the maintenance prompt in step S705 below can be collectively referred to as the exercise intensity prompt. The exercise intensity prompt can be used to prompt the user to adjust or maintain the current exercise intensity. Specifically, the adjustment prompt is used to prompt the user to increase or decrease the current exercise intensity.

[0273] If the heart rate during exercise exceeds the recommended heart rate zone 2, or if the current exercise intensity is higher than the recommended intensity, an adjustment prompt can be used to advise the user to increase the exercise intensity to ensure that the heart rate during exercise remains within the recommended heart rate zone 2. For example, the adjustment prompt could include the text: "Current exercise intensity detected as too high; it is recommended to reduce exercise intensity."

[0274] If the heart rate during exercise is lower than the recommended heart rate zone 2, or if the current exercise intensity is lower than the recommended intensity, an adjustment prompt can be used to advise the user to reduce the exercise intensity to ensure that the heart rate during exercise remains within the recommended heart rate zone 2. For example, the adjustment prompt could include the text: "The current exercise intensity is low; it is recommended to appropriately increase the exercise intensity to achieve better training results."

[0275] S705. Electronic device 100 outputs a motion intensity maintenance prompt, which is used to prompt the user to maintain the current motion intensity.

[0276] If the heart rate during exercise falls within the recommended heart rate range 2, or if the current exercise intensity equals the recommended exercise intensity, the electronic device 100 can output a "Maintain Intensity" prompt. For example, the "Maintain Intensity" prompt may include the text: "Please maintain the current exercise intensity."

[0277] It is understood that the embodiment shown in Figure 7 is only an example. In the embodiments of this application, the electronic device 100 may also determine and output exercise intensity prompts in a different way than the embodiment shown in Figure 7. Alternatively, it may output exercise heart rate prompts based on the relationship between real-time heart rate and recommended heart rate zone 2. The exercise heart rate prompts are used to remind the user to maintain / adjust the current heart rate to ensure that the heart rate during exercise is within the recommended heart rate zone 2, etc. This application does not limit the scope of the invention.

[0278] Using the measurement method provided in this application, during exercise, based on the relationship between real-time heart rate and recommended heart rate zone 2, users can be prompted to adjust exercise intensity (and / or heart rate) in a timely manner, thereby reducing the risk during exercise and improving training efficiency.

[0279] The following describes a measurement process for post-exercise physiological data 3 provided in an embodiment of this application.

[0280] Figure 8 shows a schematic diagram of the measurement process of physiological data 3 after exercise provided in an embodiment of this application.

[0281] As shown in Figure 8, the measurement process for post-exercise physiological data 3 may include the following steps:

[0282] S801. Electronic device 100 measures heart rate 3 and blood pressure 3 at time 1 after the end of exercise, where time 1 is the moment when the exercise ends and the duration is 1.

[0283] In some embodiments, the electronic device 100 can simultaneously measure heart rate 3 and blood pressure 3 at time 1.

[0284] In other embodiments, the electronic device 100 may also measure heart rate 3 at time 1 and blood pressure 3 immediately after the heart rate 3 is measured; or, blood pressure 3 may be measured at time 1 and heart rate 3 may be measured after the blood pressure 3 is measured, which is not limited herein.

[0285] For example, time 1 can be the moment when the electronic device 100 detects that the user has ended the movement, in which case the duration 1 can be 0. It is understood that the embodiment here is just an example, and in the embodiments of this application, the duration 1 can also take other values, which are not limited here.

[0286] S802. Electronic device 100 measures heart rate 4 and blood pressure 4 at time 2 after the end of exercise, where time 2 is the moment when the exercise ends and the duration is 2.

[0287] In some embodiments, the electronic device 100 may simultaneously measure heart rate 4 and blood pressure 4 at time 2; or, the electronic device 100 may measure heart rate 4 at time 2 and blood pressure 4 immediately after the heart rate 4 is measured; or, blood pressure 4 may be measured at time 2 and heart rate 4 may be measured after the blood pressure 4 is measured, which is not limited herein.

[0288] For example, duration 2 can be 3 minutes. It is understood that the embodiments here are just examples, and duration 2 can also take other values ​​(e.g., 1 minute, 4 minutes, etc.) in the embodiments of this application, which are not limited here.

[0289] S803. Electronic device 100 measures heart rate 5 and blood pressure 5 at time 3 after the end of exercise, where time 3 is the moment when the exercise ends and the duration is 3.

[0290] In some embodiments, the electronic device 100 may simultaneously measure heart rate 5 and blood pressure 5 at time 3; or, the electronic device 100 may measure heart rate 5 at time 3 and immediately measure blood pressure 5 after the heart rate 5 is measured; or, blood pressure 5 may be measured at time 3 and heart rate 5 may be measured after the blood pressure 5 is measured, which is not limited herein.

[0291] For example, duration 3 can be 6 minutes. It is understood that the embodiments here are just examples, and duration 3 can also take other values ​​(e.g., 5 minutes, 8 minutes, etc.) in the embodiments of this application, which are not limited here.

[0292] It is understood that the embodiment shown in Figure 8 is merely an illustrative example. The physiological data 3 after exercise may include multiple heart rate and blood pressure measurements. In the embodiments of this application, when measuring the physiological data 3 after exercise, the electronic device 100 may measure more and fewer heart rate and blood pressure measurements than in the above embodiments. In some embodiments, the user's electrocardiogram signal may also be measured after exercise. This application does not limit this.

[0293] Using the measurement method provided in this application, heart rate and blood pressure can be measured multiple times after exercise to obtain post-exercise physiological data. This improves the accuracy of the recommended heart rate zone and / or the recommended exercise intensity for the next exercise session, providing users with a more accurate reference for subsequent exercise.

[0294] The following describes a method for determining a recommended heart rate zone 1 provided by an embodiment of this application.

[0295] Figure 9A shows a schematic diagram of the process for determining a recommended heart rate zone 1 according to an embodiment of this application.

[0296] As shown in Figure 9A, a procedure for determining a recommended heart rate zone 1 may include the following steps:

[0297] S901. Electronic device 100 determines the actual exercise intensity of this exercise based on physiological data 2.

[0298] In some embodiments, the electronic device 100 can determine the exercise intensity corresponding to heart rate 2 based on the heart rate 2 in physiological data 2, from the correspondence between exercise intensity and heart rate intervals, and determine the exercise intensity corresponding to heart rate 2 as the actual exercise intensity of this exercise. The correspondence between heart rate intervals and exercise intensity can be the correspondence between heart rate intervals and exercise intensity in any of the embodiments shown in Figures 1A-1C above, or it can be other correspondences, which are not limited herein.

[0299] S902. Electronic device 100 determines cardiovascular risk level and blood pressure response based on physiological data 1, physiological data 2, and physiological data 3.

[0300] The following describes a specific method for determining cardiovascular risk level based on physiological data (e.g., physiological data 1, physiological data 2, and physiological data 3) before, during, and after exercise, provided by an embodiment of this application.

[0301] In some embodiments, cardiovascular risk assessment may include multiple risk levels, such as low risk, medium risk, and high risk. Electronic device 100 may store judgment conditions for different risk levels. When the physiological data before, during, and after exercise (e.g., physiological data 1, physiological data 2, and physiological data 3) meet the specified conditions, electronic device 100 can determine the risk level corresponding to the user's cardiovascular risk assessment.

[0302] For example, Table 2 shows the correspondence between a cardiovascular risk level and judgment criteria stored in electronic device 100.

[0303] Table 2

[0304] As shown in Table 2, the electronic device 100 can store the correspondence between cardiovascular risk levels and judgment criteria. The cardiovascular risk levels can include low risk, medium risk, and high risk. The judgment criteria for low risk can include: no abnormal cardiovascular events detected, and blood pressure fluctuations within the normal range before, during, and after exercise. The judgment criteria for medium risk can include, but are not limited to, any one or more of the following: 1. High systolic or diastolic blood pressure at rest before exercise; 2. High systolic blood pressure at low exercise intensity; 3. High diastolic blood pressure during exercise; 4. Diastolic blood pressure significantly increases instead of fluctuating significantly during exercise; 5. Systolic blood pressure abnormally decreases instead of significantly increasing during exercise; 6. Systolic blood pressure fails to recover to the pre-exercise resting level within a specified time limit after exercise and remains significantly higher than the pre-exercise resting level; 7. Arrhythmias, such as atrial fibrillation, premature beats, escape beats, etc.; 8. Reduced left ventricular diastolic function; 9. Reduced left ventricular diastolic function. The criteria for determining high risk may include, but are not limited to, any one or more of the following: 1. Extremely high systolic or diastolic blood pressure at rest before exercise; 2. Extremely low systolic blood pressure at rest before exercise; 3. Extremely high systolic or diastolic blood pressure during exercise; 4. Extremely high diastolic blood pressure during exercise. The methods for assessing whether left ventricular diastolic and systolic function are impaired can be found in the relevant descriptions of cardiac reserve function assessment below, and will not be detailed here.

[0305] It should be noted that, in the embodiments shown in Table 2, the electronic device 100 can determine the cardiovascular risk level as medium risk when it detects that any one of the judgment conditions for medium risk is met; the electronic device 100 can determine the cardiovascular risk level as high risk when it detects that any one of the judgment conditions for high risk is met; and the electronic device 100 can determine the cardiovascular risk level as low risk when it detects that the judgment conditions for low risk are met.

[0306] In the embodiments shown in Table 2, the judgment conditions involve the judgment of the level of diastolic and systolic blood pressure, the judgment of the fluctuation of diastolic and systolic blood pressure, the judgment of the level of exercise intensity, the judgment of the user's scenario, and the judgment of the ECG test results.

[0307] The following describes a specific method for determining the levels of diastolic and systolic blood pressure provided by an embodiment of this application.

[0308] In some embodiments, the electronic device 100 may store threshold values ​​for diastolic blood pressure and systolic blood pressure. The diastolic blood pressure levels may include, but are not limited to, any of the following: low, lower, normal, higher, high, very high, etc. The systolic blood pressure levels may include, but are not limited to, any of the following: low, lower, normal, higher, high, very high, etc. Each level may correspond to a different threshold value. After measuring blood pressure values ​​before and after exercise, the electronic device 100 can determine the level of the measured diastolic blood pressure and the level of the measured systolic blood pressure based on the pre-stored threshold values ​​for diastolic and systolic blood pressure. In some embodiments, the electronic device 100 may also store threshold values ​​for diastolic and systolic blood pressure under different scenarios. In this case, the electronic device 100 can determine the user's scenario (e.g., resting scenario, cycling scenario, running scenario, exercise completion scenario, etc.) based on one or more devices such as an accelerometer, gyroscope, or satellite positioning module, and determine the level of the currently measured diastolic and systolic blood pressure based on the threshold values ​​for diastolic and systolic blood pressure under different scenarios. In this way, the electronic device 100 can determine the level of diastolic blood pressure and the level of systolic blood pressure.

[0309] The following describes a specific method for judging the fluctuation of diastolic and systolic blood pressure provided by an embodiment of this application.

[0310] In some embodiments, the electronic device 100 may store threshold values ​​for diastolic blood pressure fluctuation levels and threshold values ​​for systolic blood pressure fluctuation levels. The fluctuation levels may include, but are not limited to, any of the following: no significant fluctuation, significant increase, abnormal decrease, etc. Different fluctuation levels may correspond to different fluctuation threshold values. In some embodiments, the fluctuation levels of diastolic blood pressure and systolic blood pressure may also correspond to different fluctuation threshold values. The electronic device 100 may determine and store actual fluctuation threshold values ​​based on the measured blood pressure fluctuations and the fluctuation threshold values ​​corresponding to different fluctuation levels. In this way, the electronic device 100 can complete the judgment of fluctuations in systolic and diastolic blood pressure.

[0311] The following describes a specific method for determining the level of exercise intensity (also known as exercise load) provided by an embodiment of this application.

[0312] In some embodiments, the electronic device 100 can monitor a user's heart rate during exercise. The electronic device 100 can determine the user's exercise intensity based on their heart rate during exercise. For example, the user's exercise intensity can be determined by observing changes in their heart rate over a fixed time period (e.g., 10 minutes or 5 minutes before the end of exercise). The electronic device 100 can also store threshold values ​​for classifying user exercise intensity levels. These levels can include, but are not limited to, any of the following: low, relatively low, normal, high, relatively high, very high, etc. After determining the user's exercise intensity, the electronic device 100 can determine the level of the current exercise intensity based on the pre-stored threshold values. In this way, the electronic device 100 can complete the exercise intensity level determination.

[0313] The following describes a specific process for determining the user's current scenario, as provided in an embodiment of this application.

[0314] In some embodiments, the user's scenario may include, but is not limited to, any one or more of the following: a resting scenario, a scenario in motion (also called a sports scenario), and a scenario after exercise. The sports scenario may further include: cycling, running, walking, climbing stairs, swimming, etc. The electronic device 100 may store motion parameters (e.g., speed, posture, etc.) corresponding to different scenarios. The electronic device 100 may determine the user's motion parameters based on one or more devices such as an accelerometer, a gyroscope, and a satellite positioning module, and determine the user's current scenario based on these motion parameters. This enables the determination of the user's current scenario.

[0315] The following describes a specific process for judging electrocardiogram (ECG) test results provided by an embodiment of this application.

[0316] In some embodiments, the ECG test results may include, but are not limited to, any one or more of the following: sinus rhythm, atrial premature beats, ventricular premature beats, atrial fibrillation, indeterminate (low heart rate), indeterminate (high heart rate), etc. The electronic device 100 may store ECG signal features corresponding to different ECG test results. After acquiring the ECG signal, the electronic device 100 can extract the ECG signal features and determine the user's ECG test result based on a preset correspondence between different ECG test results and ECG signal features. This allows for the judgment of ECG test results. In some embodiments, the arrhythmias shown in Table 2 above may include all ECG test results other than sinus rhythm. It should be noted that the electronic device 100 can acquire the user's ECG signal through the ECG module.

[0317] It is understood that the embodiments shown in Table 2 above are merely examples. In the embodiments of this application, the electronic device 100 may also store more, fewer, or different cardiovascular risk levels and corresponding judgment conditions than those in the above embodiments, and this application does not limit this. Furthermore, in some embodiments, the electronic device 100 may use methods different from those in the above embodiments to determine whether the user's physiological data before, during, and after exercise meet the judgment conditions, and this application does not limit this.

[0318] It should be noted that in some embodiments, blood pressure can be measured multiple times before and after exercise. During these multiple measurements, there may be missed measurements or measurement failures. In such cases, the electronic device 100 can determine whether to output a value based on the measured physiological data before, during, and after exercise, and the cardiovascular risk level judgment criteria met by the measured physiological data.

[0319] The following describes a specific method for determining blood pressure response based on physiological data (e.g., physiological data 1, physiological data 2, and physiological data 3) before, during, and after exercise, provided by an embodiment of this application.

[0320] In some embodiments, blood pressure response can include various conditions, such as hypotension, hypertension, abnormal pre-exercise blood pressure, slow blood pressure recovery, and normal blood pressure. The electronic device 100 can store different criteria for judging blood pressure responses. When physiological data before, during, and after exercise meet the specified criteria, the electronic device 100 can determine the user's blood pressure response.

[0321] For example, Table 3 shows a correspondence between a blood pressure response and judgment conditions stored in electronic device 100.

[0322] Table 3

[0323] As shown in Table 3, the electronic device 100 can store the correspondence between blood pressure responses and judgment conditions. Blood pressure responses may include, but are not limited to, any one or more of the following: normal blood pressure response, hypotension response, hypertension response, slow blood pressure recovery, and abnormal blood pressure response before exercise. Judgment conditions for a normal blood pressure response may include: no abnormal blood pressure event detected, where abnormal blood pressure events can include all blood pressure responses other than the normal blood pressure response mentioned above. Judgment conditions for a hypotension response may include, but are not limited to, any one or more of the following: a decrease in SBP with a decrease greater than 10. Judgment conditions for a hypertension response may include, but are not limited to, any one or more of the following: 1. The user is male, and SBP ≥ 210; or, the user is female, and SBP ≥ 190; 2. Heart rate is less than 70% of maximum heart rate, and SBP ≥ 170; 3. DBP > 115; 4. 115 ≥ DBP > 90; 5. DBP increases with an increase greater than 10. Judgment conditions for slow blood pressure recovery may include, but are not limited to, any one or more of the following: SBP 6 minutes after exercise > SBP before exercise. The criteria for judging abnormal pre-exercise blood pressure response may include, but are not limited to, any one or more of the following: 1. SBP ≥ 180 and / or DBP ≥ 110 (Grade III) SBP ≤ 80; 2. 179 ≥ SBP ≥ 140 and / or 109 ≥ DBP ≥ 90; 3. SBP ≤ 90. It should be noted that, in the embodiments shown in Table 3 above, the electronic device 100 can determine the user's blood pressure response based on the blood pressure response corresponding to any one of the judgment criteria when it detects that the condition is met.

[0324] It is understood that the embodiments shown in Table 3 above are only examples. In the embodiments of this application, the electronic device 100 may include more, fewer, or different blood pressure responses and corresponding judgment conditions than those in the above embodiments. This application does not limit these aspects.

[0325] It should be noted that the effective measurement time for different blood pressure reactions, such as hypertension, hypotension, and slow blood pressure recovery, can vary. The electronic device 100 can determine the user's blood pressure reaction based on blood pressure values ​​measured at different times after exercise. For example, the effective measurement time for hypotension is relatively short, potentially immediately after exercise. If a hypotension reaction occurs after prolonged rest, it may be a normal phenomenon caused by the acute blood pressure-lowering effect of exercise, rather than an abnormal phenomenon where systolic blood pressure does not rise sufficiently with increased exercise load. Therefore, the electronic device 100 can determine the presence of a hypotension reaction based on the first blood pressure measurement after exercise and the blood pressure value at rest. As another example, the effective measurement time for hypertension is longer, for example, potentially lasting from immediately after exercise to 6 minutes. Therefore, the electronic device 100 can determine the presence of a hypertension reaction based on multiple blood pressure measurements taken after exercise and the blood pressure value at rest before exercise. As yet another example, the measurement time for slow blood pressure recovery is generally 3 to 6 minutes; the speed of blood pressure recovery is used to determine whether an abnormality exists. Therefore, the electronic device 100 can determine whether there is a slow blood pressure recovery based on blood pressure values ​​measured within 3 to 6 minutes after exercise and blood pressure values ​​at rest. It is understood that the embodiments described here are only three examples. In the embodiments of this application, the electronic device 100 can also determine different blood pressure response assessments based on blood pressure values ​​measured at different times than in the above embodiments, and this application does not limit this assessment.

[0326] In other embodiments, the aforementioned blood pressure responses, such as hypotension, hypertension, and pre-exercise abnormal blood pressure responses, can be further subdivided. For example, a hypotension response may include low blood pressure after exercise or low blood pressure during exercise; a hypertension response may include high blood pressure after exercise or high blood pressure during exercise; and pre-exercise abnormal blood pressure may include high resting blood pressure or low resting blood pressure. The electronic device 100 may have preset thresholds for hypertension and hypotension at different exercise stages (e.g., before, during, and after exercise), and determine the user's blood pressure response based on the blood pressure measured at different exercise stages and the thresholds. It is understood that the embodiments described here are merely examples. In the embodiments of this application, the blood pressure response may include more, fewer, or different blood pressure responses than those described in the above embodiments, and this application does not limit the scope of the responses.

[0327] In some embodiments, the blood pressure response may also include cardiac reserve capacity, such as normal cardiac reserve capacity or abnormal cardiac reserve capacity.

[0328] In one possible implementation, the electronic device 100 can determine a cardiac reserve function assessment based on the acquired electrocardiogram signal and blood pressure values ​​before and after exercise.

[0329] For example, Table 4 shows the correspondence between cardiac reserve function assessment and judgment conditions stored in an electronic device 100 provided in an embodiment of this application.

[0330] Table 4

[0331] As shown in Table 4, the electronic device 100 can store the correspondence between cardiac reserve function assessment and judgment conditions. The cardiac function assessment may include, but is not limited to, any one or more of the following: abnormal cardiac reserve capacity, normal cardiac reserve capacity, etc. Judgment conditions for decreased cardiac reserve capacity may include any one or more of the following: 1. Decreased left ventricular diastolic function; 2. Decreased left ventricular systolic function, etc. Judgment conditions for normal cardiac reserve capacity may include: normal left ventricular systolic and diastolic functions. Optionally, the electronic device 100 may also store the correspondence between cardiac reserve function assessment and cardiovascular risk level; for example, in the case of abnormal cardiac reserve capacity, the cardiovascular risk level is medium risk; in the case of normal cardiac reserve capacity, the cardiovascular risk level is low risk, etc.

[0332] It should be noted that the electronic device 100 can store an assessment model of cardiac reserve function. The inputs to this assessment model can include blood pressure before and after exercise, as well as electrocardiogram signals, heart rate (or exercise load) during exercise, etc. The outputs of the assessment model can include whether left ventricular diastolic function is reduced, whether left ventricular systolic function is reduced, etc. The electronic device 100 can determine whether left ventricular diastolic and systolic function is reduced based on this assessment model.

[0333] It is understood that the embodiments shown in Table 4 above are only examples. In the embodiments of this application, the electronic device 100 may also store more, fewer, or different blood pressure responses and corresponding judgment conditions than those in the above embodiments. This application does not limit these.

[0334] S903. Electronic device 100 determines the recommended exercise intensity for the next exercise based on one or more of the actual exercise intensity, blood pressure response, and cardiovascular risk level of the current exercise.

[0335] In one possible implementation, the electronic device 100 can determine the recommended exercise intensity for the next exercise based on the cardiovascular risk level and the actual exercise intensity of the current exercise.

[0336] In some embodiments, the electronic device 100 may store a correspondence between cardiovascular risk level and exercise intensity adjustment.

[0337] For example, Table 5 shows a correspondence between cardiovascular risk level and exercise intensity adjustment provided by an embodiment of this application.

[0338] Table 5

[0339] As shown in Table 5, the electronic device 100 can store the correspondence between cardiovascular risk level and exercise intensity adjustment. For example, when the cardiovascular risk level is low, the exercise intensity adjustment can remain unchanged, that is, maintain the current exercise intensity; when the cardiovascular risk level is medium, the exercise intensity adjustment can be reduced by one level relative to the actual exercise intensity; when the cardiovascular risk level is high, the exercise intensity adjustment can be reduced by two levels relative to the actual exercise intensity.

[0340] It is understood that the embodiments shown in Table 5 are only examples. In the embodiments of this application, the cardiovascular level may include more, fewer, or different levels than those in the above embodiments, and the correspondence between different cardiovascular levels and exercise intensity adjustment may also be different from those in the above embodiments. This application does not limit these aspects.

[0341] When the electronic device 100 stores the correspondence between cardiovascular risk level and exercise intensity adjustment, the electronic device 100 can determine the corresponding exercise intensity adjustment based on the cardiovascular risk level after determining the cardiovascular risk level, and determine the recommended exercise intensity for the next exercise based on the actual exercise intensity of the current exercise.

[0342] It should be noted that if the actual exercise intensity cannot meet the exercise intensity adjustment corresponding to the cardiovascular risk level, the recommended exercise intensity can be the lowest level, or exercise can be avoided altogether. For example, if the exercise intensity is adjusted to be one level lower than the actual exercise intensity, and the actual exercise intensity is the lowest level, then the recommended exercise intensity is to maintain the lowest level. As another example, if the exercise intensity is adjusted to be two levels lower than the actual exercise intensity, and the actual exercise intensity is the lowest or second-lowest level, then exercise can be avoided altogether.

[0343] In one possible implementation, the electronic device 100 can determine the recommended exercise intensity for the next exercise based on the blood pressure response and the actual exercise intensity of the current exercise.

[0344] In some embodiments, the electronic device 100 may store a correspondence between blood pressure response and exercise intensity adjustment.

[0345] For example, Table 6 shows a correspondence between blood pressure response and exercise intensity adjustment provided in an embodiment of this application.

[0346] Table 6

[0347] As shown in Table 6, the electronic device 100 stores the correspondence between blood pressure response and exercise intensity adjustment. For example, when the blood pressure response is a hypotension response, the exercise intensity adjustment can be two levels lower than the actual exercise intensity for this exercise; when the blood pressure response is a hypertension response, the exercise intensity adjustment can be three levels lower than the actual exercise intensity for this exercise; when the blood pressure response is a slow blood pressure recovery response, the exercise intensity adjustment can be one level lower than the actual exercise intensity for this exercise; when the blood pressure response is an abnormal pre-exercise blood pressure response, the exercise intensity adjustment can be two levels lower than the actual exercise intensity for this exercise; when the blood pressure response is an abnormal cardiac reserve capacity response, the exercise intensity adjustment can be two levels lower than the actual exercise intensity for this exercise; and when the blood pressure response is a normal blood pressure response, the exercise intensity adjustment can remain unchanged.

[0348] It is understood that the embodiments shown in Table 6 are only examples. In the embodiments of this application, the electronic device 100 may also store more, less, or different blood pressure responses and corresponding exercise intensity adjustments than those in the above embodiments. This application does not limit this.

[0349] When the electronic device 100 stores the correspondence between blood pressure response and exercise intensity adjustment, it can determine the corresponding exercise intensity adjustment based on the blood pressure response after identifying it, and determine the recommended exercise intensity for the next exercise based on the actual exercise intensity of the current exercise. It should be noted that if the actual exercise intensity of the current exercise cannot meet the exercise intensity adjustment corresponding to the blood pressure response, the recommended exercise intensity can be the lowest level of exercise intensity, or it can be to avoid exercise altogether. For details, please refer to the above-mentioned content on determining the recommended exercise intensity for the next exercise based on cardiovascular level and the actual exercise intensity of the current exercise; further elaboration will not be repeated here.

[0350] In one possible implementation, the electronic device 100 can determine the recommended exercise intensity for the next exercise based on the cardiovascular risk level, blood pressure response, and the actual exercise intensity of the current exercise.

[0351] In some embodiments, the electronic device 100 may store the correspondence between cardiovascular risk level, blood pressure response and exercise intensity adjustment.

[0352] For example, Table 7 shows a correspondence between cardiovascular risk level, blood pressure response and exercise intensity adjustment provided in an embodiment of this application.

[0353] Table 7

[0354] As shown in Table 7, the electronic device 100 can store the correspondence between cardiovascular risk level, blood pressure response, and exercise intensity adjustment. Optionally, it can also store corresponding exercise recommendations. For example, when the blood pressure response is high resting blood pressure and the cardiovascular risk level is high, the exercise intensity adjustment is to avoid strenuous exercise, and the exercise recommendation could be "It is recommended that you avoid strenuous exercise until your blood pressure is effectively controlled." When the blood pressure response is high resting blood pressure and the cardiovascular risk level is medium, the exercise intensity adjustment is to reduce the actual exercise intensity by one level, and the exercise recommendation could be "It is recommended that you reduce the intensity of your exercise, keep your heart rate below X beats per minute, and appropriately reduce the duration of your exercise." When the blood pressure response is high blood pressure after exercise and the cardiovascular risk level is high, the exercise intensity adjustment is to reduce the actual exercise intensity by two levels. Exercise recommendations could be: "It is recommended that you reduce the intensity of your exercise, keep your heart rate below X beats per minute, and appropriately reduce the duration of your exercise." If the blood pressure response is high after exercise and the cardiovascular risk level is medium, the exercise intensity should be adjusted to one level lower than the actual exercise intensity, and the recommendation could be: "It is recommended that you reduce the intensity of your exercise, keep your heart rate below X beats per minute, and appropriately reduce the duration of your exercise." If the blood pressure response is low after exercise and the cardiovascular risk level is high, the exercise intensity should be adjusted to two levels lower than the actual exercise intensity, and the recommendation could be: "It is recommended that you reduce the intensity of your exercise, keep your heart rate below X beats per minute." "Less than twice, and appropriately reduce exercise duration"; when the blood pressure response is low blood pressure after exercise, and the cardiovascular risk level is medium risk, the exercise intensity should be adjusted to one level lower than the actual exercise intensity of this exercise. The exercise suggestion could be "It is recommended that you reduce the intensity of your exercise, keep your heart rate below X beats per minute, and appropriately reduce the exercise duration"; when the blood pressure response is slow blood pressure recovery, and the cardiovascular risk level is medium risk, the exercise intensity should be adjusted to avoid exceeding the current exercise intensity. The exercise suggestion could be "Please rest fully before exercising, and be careful not to exceed the exercise intensity Y," where exercise intensity Y can be the current exercise intensity; when the blood pressure response is arrhythmia, and When the cardiovascular risk level is medium, the exercise intensity should be adjusted to avoid strenuous exercise. The exercise recommendation could be, "This exercise intensity may be too high. Please rest and avoid strenuous exercise." When the blood pressure response indicates abnormal cardiac reserve capacity and the cardiovascular risk level is medium, the exercise intensity should be adjusted to one level lower than the actual exercise intensity. The exercise recommendation could be, "It is recommended that you reduce the intensity of your exercise, keep your heart rate below X beats per minute, and appropriately reduce the duration of your exercise." When the cardiovascular risk level is low, the exercise intensity adjustment remains unchanged regardless of the blood pressure response. The exercise recommendation could be, "It is recommended that you maintain a regular exercise habit and exercise moderately."

[0355] It should be noted that in the embodiments shown in Table 7, the specific value of X is related to the recommended exercise intensity for the next exercise, or it can be regarded as the upper limit of the recommended heart rate range 1. This application does not limit the value of X here.

[0356] It is understood that the embodiments shown in Table 7 are only examples. In the embodiments of this application, the electronic device 100 may also store more or less blood pressure response, cardiovascular risk level and corresponding exercise intensity adjustment than the above embodiments, or different from the above embodiments. This application does not limit this.

[0357] When the electronic device 100 stores the correspondence between blood pressure response and exercise intensity adjustment, it can determine the corresponding exercise intensity adjustment based on the blood pressure response after identifying it, and determine the recommended exercise intensity for the next exercise based on the actual exercise intensity of the current exercise. Furthermore, if the actual exercise intensity of the current exercise cannot meet the determined exercise intensity adjustment, the recommended exercise intensity for the next exercise can be the lowest level of exercise intensity, or it can be to avoid exercise altogether.

[0358] S904. Electronic device 100 determines a recommended heart rate zone 1 based on the correspondence between exercise intensity and heart rate zones according to the recommended exercise intensity for the next exercise.

[0359] After determining the recommended exercise intensity, the electronic device 100 can determine the recommended heart rate zone 1 corresponding to the recommended exercise intensity for the next exercise from the correspondence between exercise intensity and heart rate zone.

[0360] Using the measurement method provided in this application, the electronic device 100 can determine the recommended exercise intensity and / or recommended heart rate zone 1 for the next exercise based on physiological data before, during and after exercise, to guide the user's next exercise, thereby improving the user's safety and exercise efficiency.

[0361] Figure 9B shows a schematic diagram of the process for determining a recommended heart rate zone 1 according to an embodiment of this application.

[0362] As shown in Figure 9B, a procedure for determining a recommended heart rate zone 1 may include the following steps:

[0363] S1001. Electronic device 100 determines cardiovascular risk level and blood pressure response based on physiological data 1, physiological data 2, and physiological data 3.

[0364] The details of step S1001 can be found in the description of step S902 shown in Figure 9A above, and will not be repeated here.

[0365] S1002. Electronic device 100 determines the recommended heart rate zone for the next exercise based on blood pressure response and cardiovascular risk level 1.

[0366] In some embodiments, the electronic device 100 may store a correspondence between blood pressure response, cardiovascular risk level, and heart rate zone. After determining the blood pressure response and cardiovascular risk level, the electronic device 100 may determine the corresponding heart rate zone based on the correspondence between the blood pressure response, cardiovascular risk level, and heart rate zone, and designate this heart rate zone as the recommended heart rate zone 1 for the next exercise.

[0367] It is understood that the embodiments shown in Figures 9A and 9B are only two examples. In the embodiments of this application, the electronic device 100 may also determine the recommended heart rate zone 1 in a different way than the above embodiments. This application does not limit this.

[0368] In some application scenarios, electronic device 100 can determine the calculation method of physiological data 2 (heart rate 2) based on the user's exercise scenario. In this way, electronic device 100 can use a more suitable method to calculate the heart rate during exercise under different exercise scenarios, so as to obtain more accurate results when subsequently determining the recommended heart rate interval 1 and / or recommended exercise intensity.

[0369] For example, Figures 10A-10C show waveforms of heart rate signals for three different sports scenarios provided in the embodiments of this application.

[0370] As shown in Figure 10A, during exercise, the waveform of the user's heart rate signal fluctuates around a fixed value, and the heart rate value always stays near this fixed value. This type of exercise scenario where the heart rate signal waveform is stable around a fixed value can be called a stable exercise scenario, or exercise scenario 1. In some embodiments, in exercise scenario 1, the user's heart rate during exercise can be the average of the entire heart rate signal.

[0371] As shown in Figure 10B, during exercise, the waveform of the user's heart rate signal tends to stabilize for a period of time initially. Then, at a certain moment (e.g., time t1), the waveform of the heart rate signal rapidly increases. This type of heart rate signal waveform corresponds to a type of exercise scenario known as an explosive exercise scenario, or exercise scenario 2. In some embodiments, in exercise scenario 2, the user's heart rate during exercise can be the average heart rate during the explosive phase, such as the average heart rate signal over the time period after time t1.

[0372] As shown in Figure 10C, during exercise, the waveform of the user's heart rate signal can exhibit a regular fluctuation trend with a fixed time period. This type of heart rate signal waveform corresponds to an intermittent exercise scenario, also known as exercise scenario 3. In some embodiments, in exercise scenario 3, the user's heart rate during exercise can be the heart rate interval with the longest duration throughout the entire exercise process, that is, the heart rate interval in which the heart rate signal takes the most values ​​during the entire exercise process.

[0373] It is understood that the embodiments shown in Figures 10A-10C above are just some examples. In the embodiments of this application, the exercise scenario may include more, fewer or different exercise scenarios than the above embodiments. In different exercise scenarios, different heart rate calculation methods may also be used than those in the above embodiments. This application does not limit this.

[0374] The following describes a specific process for determining heart rate (i.e., heart rate 2) during exercise based on a sports scene, as provided in an embodiment of this application.

[0375] For example, Figure 11 shows a schematic diagram of a process for determining heart rate (i.e., heart rate 2) during exercise based on a motion scene according to an embodiment of this application.

[0376] As shown in Figure 11, a specific process for determining heart rate 2 in physiological data 2 based on a motion scenario may include the following steps:

[0377] S1101. Electronic device 100 monitors the user's heart rate signal during exercise.

[0378] In some embodiments, the electronic device 100 can monitor the user's heart rate signal in real time during exercise, for example, by keeping the PPG module constantly on during exercise, and then monitoring the user's real-time heart rate through the PPG module, and determining the user's heart rate signal throughout the exercise process based on the measured real-time heart rate.

[0379] In other embodiments, the electronic device 100 may also periodically measure the user's heart rate at fixed time intervals (e.g., 15 seconds, 30 seconds, 1 minute, etc.) and determine the user's heart rate signal throughout the exercise process based on the measured heart rate at each time point.

[0380] S1102. Electronic device 100 determines the motion scene based on the waveform of the heart rate signal during the motion process.

[0381] After obtaining the user's heart rate signal during exercise, the electronic device 100 can plot the waveform of the heart rate signal and determine the user's exercise scenario based on the waveform of the heart rate signal.

[0382] In some embodiments, the electronic device 100 may store the correspondence between different heart rate signal waveforms and motion scenarios. After obtaining the waveform of the user's heart rate signal during exercise, the electronic device 100 can determine the user's motion scenario from the correspondence between the heart rate signal waveform and the motion scenario.

[0383] In some embodiments, the correspondence between the motion scene and the waveform of the heart rate signal can be referred to the relevant description in the embodiments shown in Figures 10A-10C above. It is understood that in the embodiments of this application, the electronic device 100 may also store more or fewer waveforms of the heart rate signal, motion scenes, and the correspondence between the waveform of the heart rate signal and the motion scene than in the embodiments shown in Figures 10A-10C above, and this application does not limit this.

[0384] S1103. Electronic device 100 determines heart rate 2 in physiological data 2 based on motion scene and heart rate signal.

[0385] For example, if the electronic device 100 determines that the motion scenario is a stable motion scenario, then according to the embodiment shown in FIG10A above, the electronic device 100 can determine the average heart rate of the user during the entire motion process based on the heart rate signal during the motion process, and use the average heart rate as the heart rate 2 in physiological data 2.

[0386] For example, if the electronic device 100 determines that the exercise scenario is an explosive exercise scenario, then according to the embodiment shown in Figure 10B above, the electronic device 100 can determine the average heart rate during the explosive phase (e.g., 3 minutes before the end of exercise, or 5 minutes before the end of exercise, etc.) based on the heart rate signal during the exercise process, and determine the average heart rate during the explosive phase as heart rate 2.

[0387] For example, if the electronic device 100 determines that the exercise scenario is an intermittent exercise scenario, then according to the embodiment shown in FIG10C above, the electronic device 100 can determine the heart rate interval in which the user's heart rate value is most frequently taken during the entire exercise based on the heart rate signal during the exercise, and determine heart rate 2 based on the heart rate interval (for example, heart rate 2 can be any value in the heart rate interval).

[0388] It is understood that the embodiments described here are only three examples. In the embodiments of this application, the electronic device 100 may store more exercise scenarios and corresponding heart rate calculation methods than in the above embodiments. In addition, in some embodiments, the electronic device 100 may also use a different calculation method than in the above embodiments to determine the user's heart rate 2 in the above exercise scenarios. For example, in exercise scenario 1 or exercise scenario 2, the electronic device 100 may also use the mode of the heart rate value during the entire exercise process as the value of heart rate 2. This application does not limit this.

[0389] Using the measurement method provided in this application, the electronic device 100 can determine the user's exercise scenario based on the user's heart rate signal during exercise, and then determine the calculation method of heart rate 2 based on the exercise scenario, so that the heart rate 2 during exercise can be adapted to different exercise scenarios, thereby improving the accuracy of the recommended heart rate zone 1 and recommended exercise intensity for the next exercise.

[0390] The following describes the interface of a measurement method provided in an embodiment of this application.

[0391] For example, Figures 12A-12C show a set of interface diagrams for setting motion modes provided in the embodiments of this application.

[0392] As shown in Figure 12A, the electronic device 100 can display a main interface 1200, which may include one or more application icons, such as a sports and health application icon 1201, a settings application icon, a music application icon, etc.

[0393] The electronic device 100 can receive and respond to the user's click operation on the sports and health application icon 1201, and display the sports and health interface 1210 as shown in Figure 12B.

[0394] As shown in Figure 12B, the exercise and health interface 1210 may include one or more controls, such as an exercise mode setting control 1211, a heart rate zone setting control 1212, and an exercise and cardiac function assessment control 1213. The exercise mode setting control 1211 and the heart rate zone setting control 1212 can be used to trigger the electronic device 100 to display the setting interface corresponding to the control; the exercise and cardiac function assessment control 1213 can be used to trigger the electronic device 100 to start the exercise and cardiac function assessment.

[0395] In some embodiments, the electronic device 100 may receive and respond to a user's click operation on the motion mode setting control 1211 to display the motion mode interface 1220 as shown in FIG12C, which can be used to set the motion mode.

[0396] As shown in Figure 12C, the sports mode interface 1220 may include one or more sports mode options, such as running option 1221, cycling option 1222, swimming option 1223, and other options 1224. It is understood that the embodiments described here are merely examples. In the embodiments of this application, the sports mode interface 1220 may include more, fewer, or different sports mode options than those described here, and this application does not impose any limitations. Furthermore, optionally, the selected sports mode option may display a selection indicator. For example, in the embodiment shown in Figure 12C, if running option 1221 is selected, running option 1221 may display a selection indicator 1221a. The selection indicator 1221a may be a bold border. In other embodiments, the selection indicator may also use a different display color, display size, font, etc., than the unselected sports mode options, or use different symbols, etc., and this application does not impose any limitations. In some embodiments, the motion mode interface 1220 may also include a completion control 1225, which can be used to trigger the electronic device 100 to determine the motion model corresponding to the currently selected motion mode option as the motion model for this motion.

[0397] It is understood that the embodiments shown in Figures 12A-12C are only a set of examples. In the embodiments of this application, the electronic device 100 may also use a different interface to set the motion mode of this motion than the above embodiments. This application does not limit this.

[0398] Figures 12D-12F show a set of interface diagrams for setting heart rate zones provided in the embodiments of this application.

[0399] For example, electronic device 100 can receive and respond to a user's click operation on the completion control 1225 shown in FIG12C, determine running as the exercise mode for this exercise, and display the exercise and health interface 1210 shown in FIG12D.

[0400] In some embodiments, the electronic device 100 may receive and respond to a user's click operation on the heart rate zone setting control 1212, and display the heart rate zone division interface 1230 as shown in FIG12E.

[0401] As shown in Figure 12E, the heart rate zone division interface 1230 may include one or more options, each option corresponding to a heart rate zone division method. For example, the one or more options may include a maximum heart rate zone option 1231, a heart rate reserve zone option 1232, a lactate threshold zone option 1233, etc. Specifically, the heart rate zone division method corresponding to the maximum heart rate zone option 1231 is the maximum heart rate zone, the heart rate reserve zone option 1232 is the heart rate reserve zone, the lactate threshold zone option 1233 is the heart rate threshold zone, and so on. It is understood that this embodiment is merely an example. In the embodiments of this application, the heart rate zone division method may include more, fewer, or different heart rate zone division methods than in this embodiment, and this application does not limit it. The selected option may display a selection indicator. For example, if the maximum heart rate zone option 1231 is selected, then the maximum heart rate zone option 1231 may display a selection indicator 1231a. The specific content of the selection indicator 1231a can be referred to the relevant description of the selection indicator 1221a in the embodiment shown in Figure 12C above, and will not be repeated here. In addition, in some embodiments, the heart rate zone division method interface 1230 may also include a completion control 1234. The completion control 1234 can be used to trigger the electronic device 100 to display the heart rate zone setting interface corresponding to the selected heart rate zone division method.

[0402] When the maximum heart rate zone option 1231 is selected, the electronic device 100 can receive and respond to the user's click operation on the completion control 1234 and display the maximum heart rate zone setting interface 1240 as shown in Figure 12F. The maximum heart rate zone setting interface 1240 can be used to set the range of the heart rate zone corresponding to each exercise intensity in the maximum heart rate zone.

[0403] As shown in Figure 12F, the maximum heart rate zone setting interface 1240 may include multiple exercise intensities and multiple heart rate value fields. Each heart rate value field can accept user-specified values ​​based on user input. Each exercise intensity may correspond to two heart rate value fields: one for setting the lower limit of the heart rate zone corresponding to that intensity, and the other for setting the upper limit. Users can set the value range of the heart rate zone corresponding to each exercise intensity on the maximum heart rate zone setting interface 1240. Furthermore, in some embodiments, the maximum heart rate zone setting interface 1240 may also include a completion control 1241, which can trigger the electronic device 100 to set the heart rate zone corresponding to each exercise intensity based on the values ​​displayed in the current heart rate value fields.

[0404] It is understood that the embodiments shown in Figures 12D-12F are only a set of examples. In the embodiments of this application, the electronic device 100 may also use a different interface to set the heart rate zone division method used in this exercise, as well as the range of heart rate zones corresponding to each exercise intensity. This application does not limit this.

[0405] Figures 13A-13G show schematic diagrams of an interface for measuring a set of pre-exercise physiological data 1 provided in an embodiment of this application.

[0406] For example, electronic device 100 can receive and respond to a user's click operation on the completion control 1241 in the embodiment shown in FIG12F, and display the sports and health interface 1210 as shown in FIG13A.

[0407] The electronic device 100 can receive and respond to the user's click operation on the exercise and cardiac function assessment control 1213 in the exercise and health interface 1210, and display the measurement prompt interface 1300 as shown in Figure 13B.

[0408] As shown in Figure 13B, the measurement prompt interface 1300 can display a pre-exercise measurement prompt 1301, which can be used to remind the user to measure heart rate and blood pressure before exercise. For example, the measurement prompt 1301 may include the text "Please measure your heart rate and blood pressure before exercising." It is understood that this embodiment is merely an example. In this application embodiment, the measurement prompt 1301 may also include more, less, or different text and / or images than in the above embodiments, and may also adopt different output methods than in the above embodiments, such as voice broadcast, vibration, etc., which are not limited herein. Furthermore, the measurement prompt interface 1300 may also include a measurement control 1302. The measurement control 1302 can be used to trigger the electronic device 100 to measure the user's heart rate and / or blood pressure.

[0409] In some embodiments, the electronic device 100 may receive and respond to a user's click operation on the measurement control 1302, and display the measurement mode interface 1310 as shown in FIG13C.

[0410] As shown in Figure 13C, the measurement method interface 1310 may include a measurement method prompt 1311 and a countdown prompt 1312. The measurement method prompt 1311 can be used to prompt the user on how to measure blood pressure. The measurement method prompt 1311 may include any one or more of the following: text, images, animations, and voice. For example, the measurement method prompt 1311 may include an image 1311a and text 1311b, where text 1311b may include "Start measuring blood pressure. Please ensure your watch is level with your heart during measurement." It is understood that this embodiment is merely an example. In this application embodiment, the measurement method prompt 1311 may also include more, less, or different content than the above embodiment, such as prompting the user to touch the electrodes on the surface of the electronic device 100 to complete the blood pressure measurement. This application does not limit this. Furthermore, the countdown prompt 1312 can be used to display a countdown to the measurement method prompt 1311. For example, the countdown prompt 1312 may include a pattern 1312a and text 1312b, where the pattern 1312a may be a circular progress bar and the text 1312b may be the number "4", used to prompt the user that there are 4 seconds left in the display time of the blood pressure measurement method prompt.

[0411] In some embodiments, the electronic device 100 may receive and respond to a user's click operation on the measurement control 1302, and display a measurement mode prompt interface 1320 as shown in FIG13D.

[0412] As shown in Figure 13D, the measurement method prompt interface 1320 may include a measurement method prompt 1321 and a countdown 1322. The measurement method prompt 1321 may include text 1321a and animation 1321b. For example, text 1321a may read, "Start measuring blood pressure. Touch the electrodes with your finger. Please remain still during the measurement." The countdown 1322 can be used to indicate the display duration of the measurement method prompt 1321. The specific content of the countdown 1322 can be referred to the relevant description in the embodiment shown in Figure 13C above, and will not be repeated here.

[0413] In some embodiments, after the countdown ends in the embodiment shown in FIG13C or FIG13D, the electronic device 100 may display the blood pressure measurement interface 1330 shown in FIG13E. It should be noted that in other embodiments, the electronic device 100 may also receive and respond to a user's click operation on the measurement control 1302 in the embodiment shown in FIG13B above, and display the blood pressure measurement interface 1330 shown in FIG13E.

[0414] As shown in Figure 13E, the blood pressure measurement interface 1330 may include a blood pressure fluctuation indicator 1331 and a cancel measurement control 1332. Optionally, it may also include measurement precautions 1333. The blood pressure fluctuation indicator 1331 can be used to indicate changes in blood pressure values ​​during the measurement process. The cancel measurement control 1332 can be used to trigger the electronic device 100 to display the cancel measurement interface, which asks the user whether to cancel the exercise and blood pressure assessment. The measurement precautions 1333 can be used to remind the user that blood pressure is being measured and can also remind the user of precautions during the blood pressure measurement process. For example, the measurement precautions 1333 may include the text "Blood pressure measurement in progress, please remain still."

[0415] In some embodiments, after the electronic device 100 determines the user's blood pressure and heart rate before exercise, the electronic device 100 may display a pre-exercise physiological data output interface 1340 as shown in FIG13F.

[0416] As shown in Figure 13F, the pre-exercise physiological data output interface 1340 may include the user's pre-exercise blood pressure and pulse (also known as heart rate) 1343, wherein the blood pressure value includes systolic blood pressure 1341 and diastolic blood pressure 1342. For example, the user's pre-exercise systolic blood pressure may be 118 mmHg, diastolic blood pressure may be 75 mmHg, and pulse may be 76 beats / minute. The pre-exercise physiological data output interface 1340 may also include a start-exercise control 1344. The start-exercise control 1344 can be used to trigger the electronic device 100 to display one or more exercise items for the user to select.

[0417] In some embodiments, when the electronic device 100 detects that the user has a risk to cardiac function, the electronic device 100 may display a risk warning interface 1350 as shown in FIG13G.

[0418] As shown in Figure 13G, the risk warning interface 1350 may include a risk warning 1351, which can be used to alert the user to potential cardiac function risks and advise the user to avoid strenuous exercise. For example, risk warning 1351 may include the text "Cardiac function risk detected; it is recommended to stop this exercise." Furthermore, the risk warning interface 1350 may also include an awareness control 1352, which can be used to trigger the electronic device 100 to stop displaying the risk warning interface 1350.

[0419] It is understood that the embodiments shown in Figures 13A-13G above are only examples. In the embodiments of this application, when the electronic device 100 measures blood pressure before exercise, it may also display more or fewer interfaces than the above embodiments, or display more or fewer contents than the above embodiments. This application does not limit this.

[0420] Figures 14A-14C show a set of interface diagrams during the motion process provided in the embodiments of this application.

[0421] For example, electronic device 100 can receive and respond to a user's click operation on the start motion control 1344 shown in FIG13F. Optionally, electronic device 100 can display a motion selection interface 1400 as shown in FIG14A.

[0422] As shown in Figure 14A, the exercise selection interface 1400 may include one or more exercise items, each of which may correspond to a type of exercise. For example, the one or more exercise items may include outdoor walking item 1401, indoor walking item 1402, outdoor running item 1403, indoor running item 1404, etc.

[0423] In some embodiments, the electronic device 100 may receive and respond to a user's click on the outdoor running item 1403, displaying the exercise interface 1410 as shown in FIG14B. In other embodiments, the electronic device 100 may also display the exercise interface 1410 as shown in FIG14B when it detects that the user has started exercising and the exercise type is outdoor running.

[0424] As shown in Figure 14B, the exercise interface 1410 may include exercise type 1411, heart rate 1412, heart rate recommendation prompt 1413, exercise suggestions 1414, etc., and optionally, may also include an end-exercise control 1415. The exercise type 1411 can be used to indicate the type of exercise, such as "outdoor running". The heart rate 1412 can be used to indicate the real-time heart rate during exercise, such as 95 beats / minute. The heart rate recommendation prompt 1413 may include a recommended heart rate zone and / or recommended exercise intensity for this exercise, such as [89, 106] and warm-up. The exercise suggestions 1414 may include text, such as "Maintain current exercise intensity". The end-exercise control 1415 can be used to trigger the electronic device 100 to end the current exercise.

[0425] In some embodiments, the electronic device 100 may receive and respond to a user's click on the outdoor running item 1403, displaying the exercise interface 1420 as shown in FIG14C. In other embodiments, the electronic device 100 may also display the exercise interface 1420 as shown in FIG14C when it detects that the user has started exercising and the exercise type is outdoor running.

[0426] As shown in Figure 14C, the exercise interface 1420 may include real-time heart rate 1421, heart rate zones 1422, exercise suggestions 1423, etc., and optionally, may also include an end-of-exercise control 1424. The real-time heart rate 1421 can be used to indicate the real-time heart rate during exercise, such as 120 beats / minute. The heart rate zones 1422 can include each heart rate zone and its corresponding exercise intensity under the currently selected heart rate zone division method. The currently recommended heart rate zone and its corresponding exercise intensity can be displayed normally, while the unrecommended heart rate zone and its corresponding exercise intensity can be grayed out. The exercise suggestions 1423 may include text, such as "Maintain current exercise intensity". The end-of-exercise control 1424 can be used to trigger the electronic device 100 to end the current exercise session.

[0427] It is understood that the embodiments shown in Figures 14A-14C are only a set of examples. In the embodiments of this application, the electronic device 100 may also display more, less, or different content than the above embodiments during movement. This application does not limit this.

[0428] Figures 14D-14F show schematic diagrams of an interface for measuring a set of physiological data 3 after exercise, provided in an embodiment of this application.

[0429] For example, after detecting that the user has ended the exercise, or after receiving a click operation from the user on the end-of-exercise control 1415 shown in FIG. 14B or the end-of-exercise control 1424 shown in FIG. 14C, the electronic device 100 may display the measurement prompt interface 1430 shown in FIG. 14D. In some embodiments, the electronic device 100 may also display the measurement prompt interface 1430 shown in FIG. 14D when the duration of the detected end-of-exercise period reaches a preset duration 1.

[0430] As shown in Figure 14D, the measurement prompt interface 1430 may include a measurement prompt 1431, which can be used to prompt the user to measure their blood pressure and heart rate for the first time after exercise. For example, the measurement prompt 1431 may include the text "Please measure your heart rate and blood pressure immediately after exercise". In addition, the measurement prompt 1431 may also include a measurement control 1432, which can be used to trigger the electronic device 100 to measure the first heart rate and first blood pressure after exercise.

[0431] When the duration of the exercise reaches the preset duration 2, the electronic device 100 can display the measurement prompt interface 1440 as shown in Figure 14E.

[0432] As shown in Figure 14E, the measurement prompt interface 1440 may include a measurement prompt 1441, which can be used to prompt the user to measure blood pressure and heart rate a second time after exercise. For example, the measurement prompt 1441 may include the text "Exercise ended 3 minutes ago, please measure your heart rate and blood pressure a second time after exercise." In addition, the measurement prompt 1441 may also include a measurement control 1442, which can be used to trigger the electronic device 100 to measure the heart rate and blood pressure a second time after exercise.

[0433] When the duration of the exercise reaches the preset duration of 3, the electronic device 100 can display the measurement prompt interface 1450 as shown in Figure 14F.

[0434] As shown in Figure 14F, the measurement prompt interface 1450 may include a measurement prompt 1451, which can be used to prompt the user to measure their blood pressure and heart rate for the third time after exercise. For example, the measurement prompt 1451 may include the text "It has been 6 minutes since exercise ended. Please measure your heart rate and blood pressure for the third time after exercise." Furthermore, the measurement prompt 1451 may also include a measurement control 1452, which can be used to trigger the electronic device 100 to measure the heart rate and blood pressure for the third time after exercise.

[0435] It is understood that the embodiments shown in Figures 14C-14F are only a set of examples. In the embodiments of this application, the electronic device 100 may also measure more or fewer times than in the above embodiments after the user exercises, and may also output measurement prompts different from those in the above embodiments. This application does not limit these possibilities.

[0436] Figures 14G-14I show schematic diagrams of a set of output heart rate recommendation prompts provided in the embodiments of this application.

[0437] For example, after acquiring physiological data before, during and after exercise, the electronic device 100 can display an evaluation result interface 1460 as shown in Figure 14G.

[0438] As shown in Figure 14G, the assessment result interface 1460 may include a cardiovascular risk level 1461 and a blood pressure response 1462. Optionally, it may also include annotation symbols 1461a and 1462a. The cardiovascular risk level 1461 can be used to indicate the cardiovascular risk level measured during this exercise, such as low risk. The blood pressure response 1462 can be used to indicate the blood pressure response measured during this exercise, such as no abnormalities observed. Annotation symbol 1461a can be used to trigger the electronic device 100 to display a detailed explanation of the cardiovascular risk level 1461, and annotation symbol 1462a can be used to trigger the electronic device 100 to display a detailed explanation of the blood pressure response 1462. Further optionally, the assessment result interface 1460 may also include a reassessment control 1463, which can be used to trigger the electronic device 100 to remeasure the user's physiological data before, during, and after exercise, and determine the cardiovascular risk level and blood pressure response.

[0439] In some embodiments, the electronic device 100 may receive and respond to a user’s left swipe operation (or other operation) on the assessment results interface 1460 to display the heart rate recommendation interface 1470 as shown in FIG14H.

[0440] As shown in Figure 14H, the heart rate recommendation interface 1470 may include a heart rate recommendation prompt 1471, which can be used to suggest the user the intensity of their next workout and / or a recommended heart rate zone. For example, the heart rate recommendation prompt 1471 may include the text "Based on your exercise and cardiovascular risk level, it is recommended that you reduce the intensity of your next workout, keep your exercise heart rate below 163 beats per minute, and appropriately reduce the duration of your workout." Optionally, the heart rate recommendation interface 1470 may also include a notification control 1472, which can be used to trigger the electronic device 100 to stop displaying the heart rate recommendation interface 1470.

[0441] In other embodiments, the electronic device 100 may receive and respond to a user's left swipe (or other action) on the assessment results interface 1460 to display the heart rate recommendation interface 1480 as shown in FIG14I.

[0442] As shown in Figure 14I, the heart rate recommendation interface 1480 may include a heart rate recommendation prompt 1481, which can be used to suggest the user the intensity of their next workout and / or a recommended heart rate zone. For example, the heart rate recommendation prompt 1481 may include the text "Based on your exercise and cardiovascular risk level, it is recommended that you reduce the intensity of your next workout, keeping the intensity at the warm-up level, and controlling the exercise heart rate at [89, 106]". Optionally, the heart rate recommendation interface 1480 may also include an awareness control 1482, which can be used to trigger the electronic device 100 to stop displaying the heart rate recommendation interface 1480.

[0443] It is understood that the embodiments shown in Figures 14G-14I are just examples. In the embodiments of this application, the electronic device 100 may also output heart rate recommendation prompts different from those in the above embodiments, such as recommending the average heart rate during exercise or recommending heart rate zones, etc. This application does not limit this.

[0444] The functional modules of an electronic device 100 provided in the embodiments of this application are described below.

[0445] Figure 15 shows a schematic diagram of the functional modules of an electronic device 100 provided in an embodiment of this application.

[0446] As shown in Figure 15, the electronic device 100 may include a heart rate measurement module 1501, a blood pressure measurement module 1502, a data processing module 1505, a user interaction module 1506, and an output module 1507. Optionally, the electronic device 100 may also include any one or more of the following: a motion monitoring module 1503, a user information module 1504, an anomaly monitoring module 1508, a communication module 1509, an electrocardiogram measurement module 1510, etc.

[0447] The heart rate measurement module 1501 can measure the user's heart rate, such as the user's heart rate before exercise, the user's heart rate during exercise, and the user's heart rate after exercise. The heart rate measurement module 1501 can send the measured heart rate to the data processing module 1505.

[0448] The blood pressure measurement module 1502 can measure the user's blood pressure, such as the user's blood pressure before exercise, the user's blood pressure after exercise, and optionally, the user's blood pressure during exercise. The blood pressure measurement module 1502 can send the measured blood pressure value to the data processing module 1505.

[0449] The motion monitoring module 1503 can monitor the user's exercise type (or exercise mode, etc.) and exercise parameters (such as pace, calorie consumption, oxygen consumption, etc.). In some embodiments, the motion monitoring module 1503 can also determine whether the user is in an exercise state. The motion monitoring module 1503 can send the user's exercise type and exercise parameters to the data processing module 1505. In some embodiments, the motion monitoring module 1503 can also send the determination result of whether the user is in an exercise state to the data processing module 1505.

[0450] The data processing module 1505 can determine the measurement result based on data sent by any one or more modules, such as the heart rate measurement module 1501, blood pressure measurement module 1502, electrocardiogram (ECG) measurement module 1510, exercise monitoring module 1503, user information module 1504, and communication module 1509. This measurement result is related to the data received by the data processing module 1505. For example, when the data processing module 1505 receives the user's pre-exercise blood pressure value sent by the blood pressure measurement module 1502, it can determine that the measurement result is the pre-exercise blood pressure value. Optionally, it can also determine whether the pre-exercise blood pressure is normal. As another example, when the data processing module 1505 receives the ECG signal sent by the ECG measurement module 1510, it can determine the ECG detection result based on the ECG signal. Alternatively, it can determine the recommended heart rate range 1 and / or recommended exercise intensity for the next exercise session based on the ECG signal, multiple heart rate readings sent by the heart rate measurement module 1501, and multiple blood pressure readings sent by the blood pressure measurement module 1502, etc. The data processing module 1505 can also send one or more of the determined heart rate, blood pressure value, electrocardiogram test results, recommended heart rate zone 1 and / or recommended exercise intensity to the output module 1507.

[0451] User interaction module 1506 can receive user operations, such as operation 1 shown in Figure 4 above. Based on the received user operation, user interaction module 1506 can send corresponding instructions to designated modules. For example, in response to user operation 1, user interaction module 1506 can receive and send a blood pressure measurement instruction to blood pressure measurement module 1502 and a heart rate measurement instruction to heart rate measurement module 1501. The blood pressure measurement instruction can be used to instruct blood pressure measurement module 1502 to measure blood pressure, and the heart rate measurement instruction can be used to instruct heart rate measurement module 1501 to measure heart rate. As another example, user interaction module 1506 can receive and respond to a user's operation to measure electrocardiogram (ECG) and send an ECG measurement instruction to ECG measurement module 1510. The ECG measurement instruction can be used to instruct ECG measurement module 1510 to measure ECG signals. As yet another example, user interaction module 1506 can receive and respond to a user's operation to input user information (such as height, weight, date of birth, gender, body fat percentage, BMI, etc.) and store the input user information in user information module 1504. It is understood that the embodiments described here are only three examples. In the embodiments of this application, the user interaction module 1506 may also receive more, fewer, or different operations than those in the above embodiments, and the user interaction module 1506 may also send different instructions to more, fewer, or different modules than those in the above embodiments. This application does not limit these actions.

[0452] The output module 1507 can receive data sent by the data processing module 1505 (such as heart rate, blood pressure, ECG results, recommended heart rate zone 1, recommended exercise intensity, etc.) and output the received data. The output module 1507 can also output abnormal prompts to alert the user to abnormal conditions (such as abnormal wearing, micro-pump malfunction, airbag malfunction, electrode contamination, abnormal blood pressure, abnormal ECG, abnormal cardiac reserve function, etc.).

[0453] User information module 1504 may store user information (e.g., height, weight, date of birth, gender, medical history, etc.). In some embodiments, user information module 1504 may receive and store user information sent by user interaction module 1506. In other embodiments, user information module 1504 may also receive and store user information sent by communication module 1509.

[0454] The anomaly monitoring module 1508 can store one or more anomaly conditions. The anomaly monitoring module 1508 can also monitor whether the current state meets any of the anomaly conditions. When an anomaly condition is detected, the anomaly monitoring module 1508 can control the output module 1507 to output a corresponding anomaly prompt, alerting the user to an abnormal state. Anomaly conditions may include, but are not limited to, any one or more of the following: battery level below a battery threshold, temperature above a temperature threshold, user's heart rate outside the normal heart rate range, user's blood pressure outside the normal blood pressure range, airbag malfunction, electrode contamination, etc.

[0455] The communication module 1509 can communicate with other electronic devices. In some embodiments, the communication module 1509 can receive user information sent by other electronic devices and send the user information to the user information module 1504. In some embodiments, the communication module 1509 can also receive a start command sent by other electronic devices and send a start notification to any one or more modules such as the heart rate measurement module 1501, blood pressure measurement module 1502, and electrocardiogram (ECG) measurement module 1510. The start notification is used to notify the receiving module to start heart rate measurement, blood pressure measurement, or ECG measurement. In some embodiments, the communication module 1509 can also receive data (e.g., heart rate, blood pressure value, ECG detection result, recommended heart rate zone 1, recommended exercise intensity, etc.) sent by the data processing module 1505 and send the received data to other electronic devices. In other embodiments, the communication module 1509 can also obtain corresponding heart rate, blood pressure value, ECG signal, exercise type, exercise parameters, and other data from the heart rate measurement module 1501, blood pressure measurement module 1502, ECG measurement module 1510, and exercise monitoring module 1503, and send the obtained data to other electronic devices.

[0456] The ECG measurement module 1510 can measure the user's ECG signal. The ECG measurement module 1510 can send the measured ECG signal and other data to the data processing module 1505.

[0457] It is understood that the embodiment shown in Figure 15 is only an example. In the embodiments of this application, the electronic device 100 may also include more, fewer, or different functional modules than those in the above embodiments, and this application does not limit it. In addition, in the above embodiments, any functional module may be divided into multiple functional modules, or any multiple functional modules may be merged into one functional module, and this application does not limit it.

[0458] The functional modules of a measurement system 10 provided in the embodiments of this application are described below.

[0459] Figure 16 shows a schematic diagram of the functional modules of a measurement system 10 provided in an embodiment of this application.

[0460] As shown in Figure 16, the measurement system 10 includes electronic device 100 and electronic device 200. Electronic device 100 may include a heart rate measurement module 1501, a blood pressure measurement module 1502, and a communication module 1509. Optionally, electronic device 100 may also include one or more of the following: a motion monitoring module 1503, a user information module 1504, a data processing module 1505, a user interaction module 1506, an output module 1507, an anomaly monitoring module 1508, and an electrocardiogram measurement module 1510. Electronic device 200 may include a communication module 1601, a user interaction module 1602, and an output module 1605. Optionally, electronic device 200 may also include one or more of the following: a data processing module 1603 and a user information module 1604.

[0461] In the electronic device 100, the specific functional descriptions of each module can be found in the relevant descriptions in the embodiments shown in Figure 15 above. In some embodiments, the data processing module 1505 can send one or more of the determined heart rate, blood pressure value, electrocardiogram (ECG) detection results, recommended heart rate zone 1, and / or recommended exercise intensity to the communication module 1509, and then the communication module 1509 sends the above content to the communication module 1601 in the electronic device 200. In other embodiments, the communication module 1509 can also obtain corresponding heart rate, blood pressure values, ECG signals, exercise type, exercise parameters, and other data from the heart rate measurement module 1501, blood pressure measurement module 1502, ECG measurement module 1510, and exercise monitoring module 1503, and send the obtained data to the communication module 1601 in the electronic device 200.

[0462] In some embodiments of the electronic device 200, the communication module 1601 can receive heart rate, blood pressure, electrocardiogram (ECG) results, recommended heart rate zone 1, and / or recommended exercise intensity from the communication module 1509 of the electronic device 100, and send the above content to the output module 1605. In other embodiments, the communication module 1601 can receive heart rate, blood pressure, ECG signals, exercise type, exercise parameters, and other data from the communication module 1509 of the electronic device 100, and send the above data to the data processing module 1603. In other embodiments, the communication module 1601 can also receive user information from the user information module 1604 and send the user information to the electronic device 100. In other embodiments, the communication module 1601 can also receive a start command from the user interaction module 1602 and send the start command to the electronic device 100, the start command being used to instruct the electronic device 100 to activate the exercise health monitoring function.

[0463] The user interaction module 1602 can receive user operations, such as the user activating the sports and health monitoring function. In some embodiments, the user interaction module 1602 can receive and respond to the user's activation of the sports and health monitoring function by sending a start command to the communication module 1601. The start command is used to instruct the electronic device 100 to activate the sports and health monitoring function.

[0464] The data processing module 1603 can receive one or more data points from the communication module 1601, such as heart rate, blood pressure, electrocardiogram signal, exercise type, and exercise parameters, and determine a recommended heart rate zone and / or recommended exercise intensity based on the data. Then, the data processing module 1603 can send the recommended heart rate zone and / or recommended exercise intensity to the output module 1605.

[0465] The user information module 1604 can store user information and can also send the user information to the communication module 1601, instructing the communication module 1601 to send the user information to the electronic device 100.

[0466] The output module 1605 can output recommended heart rate zones and / or recommended exercise intensity, and can also output heart rate, blood pressure, and ECG test results before, during, and after exercise. In some embodiments, the output module 1605 can also output risk warnings, measurement prompts, etc. The risk warning can be used to alert the user to the presence of cardiac function risks, and the measurement prompt can be used to prompt the user to measure heart rate and / or blood pressure.

[0467] It is understood that the embodiment shown in Figure 16 is only an example. In the embodiments of this application, the measurement system 10 may also include more, fewer, or different functional modules than those in the above embodiments, and this application does not limit it. In addition, in the above embodiments, any functional module may be divided into multiple functional modules, or any multiple functional modules may be merged into one functional module, and this application does not limit it.

[0468] For ease of subsequent description, the aforementioned electronic device 100 can be collectively referred to as a device. It should be understood that the division of units within this device is merely a logical functional division; in actual implementation, they can be fully or partially integrated into a single physical entity, or they can be physically separated. Furthermore, the units within the device can be implemented by a processor calling software; for example, the device includes a processor connected to a memory containing instructions. The processor calls the instructions stored in the memory to implement any of the above methods or to realize the functions of each unit within the device. The processor can be, for example, a general-purpose processor, such as a central processing unit (CPU) or a microprocessor, and the memory can be internal or external to the device. Alternatively, the units in the device can be implemented as hardware circuits. The functionality of some or all units can be achieved through the design of these hardware circuits, which can be understood as one or more processors. For example, in one implementation, the hardware circuit is an application-specific integrated circuit (ASIC). The functionality of some or all of the above units is achieved through the design of the logical relationships between the components within the circuit. In another implementation, the hardware circuit can be implemented using a programmable logic device (PLD). Taking a field-programmable gate array (FPGA) as an example, it can include a large number of logic gates. The connection relationships between the logic gates are configured through a configuration file, thereby achieving the functionality of some or all of the above units. All units of the above device can be implemented entirely through processor-invoked software, entirely through hardware circuits, or partially through processor-invoked software with the remaining parts implemented through hardware circuits.

[0469] In this application embodiment, a processor is a circuit with data processing capabilities. In one implementation, the processor can be a circuit with instruction reading and execution capabilities, such as a CPU, microprocessor, graphics processing unit (GPU) (which can be understood as a type of microprocessor), or digital signal processor (DSP). In another implementation, the processor can implement certain functions through the logical relationships of hardware circuits. These logical relationships of hardware circuits are fixed or reconfigurable. For example, the processor is a hardware circuit implemented as an ASIC or PLD, such as an FPGA. In a reconfigurable hardware circuit, the process of the processor loading a configuration document and configuring the hardware circuit can be understood as the process of the processor loading instructions to implement the functions of some or all of the above units. Furthermore, it can also be a hardware circuit designed for artificial intelligence, which can be understood as an ASIC, such as a Neural Network Processing Unit (NPU), Tensor Processing Unit (TPU), or Deep Learning Processing Unit (DPU).

[0470] As can be seen, each unit in the above device can be one or more processors (or processing circuits) configured to implement the above methods, such as: CPU, GPU, NPU, TPU, DPU, microprocessor, DSP, ASIC, FPGA, or a combination of at least two of these processor forms.

[0471] Furthermore, the units in the above devices can be integrated in whole or in part, or they can be implemented independently. In one implementation, these units are integrated together as a system-on-a-chip (SOC). The SOC may include at least one processor for implementing any of the above methods or implementing the functions of the units in the device. The at least one processor may be of different types, such as CPU and FPGA, CPU and artificial intelligence processor, CPU and GPU, etc.

[0472] The following describes a possible physical structure of the electronic device 100 provided in the embodiments of this application.

[0473] For example, Figure 17 shows a schematic diagram of the physical structure of an electronic device 100 provided in an embodiment of this application.

[0474] As shown in Figure 17, the electronic device 100 may include a processor 1701, a memory 1702, and a display 1703. Optionally, it may also include a transmitter and a receiver. The processor 1701, memory 1702, and display 1703 may be interconnected or interconnected via a bus 1704.

[0475] For example, memory 1702 is used to store computer programs and data of electronic device 100. Memory 1702 may include, but is not limited to, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), or compact disc read-only memory (CD-ROM).

[0476] The software or program code required for all or part of the functions of the electronic device 100 in the above method embodiments is stored in the memory 1702.

[0477] In one possible implementation, if the software or program code required for some functions is stored in the memory 1702, then in addition to calling the program code in the memory 1702 to implement some functions, the processor 1701 can also cooperate with other components (such as receivers, transmitters, etc.) to complete other functions described in the method embodiment (such as the function of receiving or sending data).

[0478] The display 1703 can be used to display information such as recommended heart rate zones and / or recommended exercise intensity.

[0479] For example, processor 1701 may be a CPU, GPU, NPU, TPU, DPU, microprocessor, DSP, ASIC, FPGA, or a combination of at least two of these processor types, as described above. Processor 1701 may be used to read programs stored in memory 1702 and execute operations performed by electronic device 100 in any of the above embodiments.

[0480] It is understood that the embodiment shown in FIG17 is only an example. In the embodiments of this application, the electronic device 100 may also include more, fewer, or different devices than those shown in FIG17. This application does not limit the scope of the invention.

[0481] The following describes a chip system provided by an embodiment of this application.

[0482] This application also provides a chip system including at least one processor for implementing the functions involved in the electronic device 100 in any of the above embodiments.

[0483] In one possible design, the chip system also includes a memory for storing program instructions and data, which may be located within or outside the processor.

[0484] The chip system can consist of chips or include chips and other discrete components.

[0485] Optionally, the chip system may contain one or more processors. These processors can be implemented in hardware or software. When implemented in hardware, the processor can be a logic circuit, an integrated circuit, etc. When implemented in software, the processor can be a general-purpose processor, implemented by reading software code stored in memory.

[0486] Optionally, the chip system may contain one or more memories. The memory may be integrated with the processor or disposed separately from it; this application embodiment does not limit this. For example, the memory may be a non-transient processor, such as a read-only memory (ROM), which may be integrated with the processor on the same chip or disposed separately on different chips. This application embodiment does not specifically limit the type of memory or the arrangement of the memory and processor.

[0487] For example, the chip system may be a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), a system on chip (SoC), a central processor unit (CPU), a network processor (NP), a digital signal processor (DSP), a micro controller unit (MCU), a programmable logic device (PLD), or other integrated chips.

[0488] It is understood that the above chip system is only an example. In the embodiments of this application, the chip system may also include more, fewer, or different devices than those in the above embodiments. This application does not limit the scope of the invention.

[0489] Figure 18 shows a flowchart of a measurement method provided in an embodiment of this application.

[0490] As shown in Figure 18, the specific process of a measurement method may include the following steps:

[0491] S1801. The first electronic device acquires the correspondence between heart rate zones and exercise intensity.

[0492] The first electronic device can be either the electronic device 100 in the above embodiments or the electronic device 200 in the above embodiments.

[0493] For example, the correspondence between heart rate zones and exercise intensity can be referred to the relevant descriptions in the embodiments shown in Figures 1A-1C above.

[0494] S1802. The first electronic device acquires first physiological data of the user before exercise, the first physiological data including first blood pressure and first heart rate.

[0495] In some embodiments, the first electronic device has functions such as heart rate measurement and blood pressure measurement. In this case, the first electronic device can collect the user's first physiological data before exercise. In this case, the first electronic device can be the electronic device 100 in the above embodiments. The specific method by which the first electronic device collects the first physiological data can be referred to the relevant description in the embodiment shown in Figure 4 above, and will not be repeated here.

[0496] In other embodiments, the first electronic device acquires the user's first physiological data before exercise, or it may receive the first physiological data sent by the second electronic device. In this case, the first electronic device may be the electronic device 200 in the above embodiments, and the second electronic device may be the electronic device 100 in the above embodiments. It should be noted that, in this case, the first electronic device does not need to have functions such as heart rate measurement or blood pressure measurement.

[0497] For example, the first physiological data can be physiological data 1 in the embodiments shown in Figures 4-5 above, the first blood pressure can be blood pressure 1, and the first heart rate can be heart rate 1.

[0498] S1803. The first electronic device acquires second physiological data during the user's movement, the second physiological data including a second heart rate.

[0499] The method by which the first electronic device acquires the second physiological data of the user during movement can be compared with the relevant content in step S1802 above, and will not be repeated here.

[0500] It should be noted that the movement in which the second physiological data of the user's movement is obtained can also be called the first movement, and the movement following the first movement can be called the second movement.

[0501] For example, the second physiological data can be physiological data 2 in the embodiments shown in Figures 4 and 11 above, and the second heart rate can be heart rate 2.

[0502] S1804. The first electronic device acquires third physiological data after the user's exercise, including third heart rate and third blood pressure.

[0503] The method by which the first electronic device acquires the second physiological data of the user during movement can be compared with the relevant content in step S1802 above, and will not be repeated here.

[0504] For example, the third physiological data can be physiological data 3 in the embodiments shown in Figures 4 and 8 above, the third blood pressure can be blood pressure 3, and the third heart rate can be heart rate 3.

[0505] S1805. The first electronic device determines the first exercise intensity corresponding to the second heart rate based on the correspondence between heart rate zones and exercise intensity.

[0506] The first exercise intensity is the exercise intensity of this exercise (i.e., the first exercise).

[0507] S1806. The first electronic device determines a first heart rate zone and / or a second exercise intensity based on first physiological data, second physiological data, third physiological data, and a first exercise intensity.

[0508] The first heart rate zone is the recommended heart rate zone for the next exercise (i.e., the second exercise), and the second exercise intensity is the recommended exercise intensity for the next exercise (i.e., the second exercise).

[0509] For example, the first heart rate zone can be the recommended heart rate zone 1 in the embodiments shown in Figures 4 and 9A-9B above; the second exercise intensity can be the recommended exercise intensity for the next exercise in the embodiments shown in Figures 4 and 9A-9B above.

[0510] S1807. The first electronic device outputs a first recommendation prompt, which is used to prompt the user for a first heart rate zone and / or a second exercise intensity.

[0511] For example, the first recommendation prompt can be the heart rate recommendation prompt 1 in the embodiment shown in Figure 4 above.

[0512] It should be noted that the first physiological data can also be regarded as the physiological data before the first exercise, the second physiological data can be regarded as the physiological data collected during the first exercise, and the third physiological data can be regarded as the physiological data collected after the first exercise.

[0513] In this way, based on the physiological data obtained before, during and after exercise, the recommended exercise intensity (i.e., the second exercise intensity) and / or the recommended heart rate zone (i.e., the first heart rate zone) for the next exercise can be determined. This allows users to adjust the exercise intensity and / or heart rate appropriately during their next exercise, reducing the risk of exercise, improving user safety, and enhancing exercise efficiency.

[0514] In one possible implementation, the first physiological data, the second physiological data, and the third physiological data are collected by the first electronic device.

[0515] In this way, with the first electronic device having its own blood pressure measurement and heart rate measurement functions, the first electronic device can collect physiological data on its own and determine the recommended heart rate zone and / or recommended exercise intensity for the next exercise.

[0516] In another possible implementation, the first physiological data, the second physiological data, and the third physiological data are collected by the second electronic device and sent to the first electronic device.

[0517] In this way, the first electronic device can also determine the recommended heart rate zone and / or recommended exercise intensity for the next exercise based on physiological data (such as first physiological data, second physiological data, third physiological data, etc.) sent by other electronic devices.

[0518] In one possible implementation, a first heart rate zone and / or a second exercise intensity are determined based on first physiological data, second physiological data, third physiological data, and a first exercise intensity. Specifically, this includes: determining a cardiovascular risk level based on the first physiological data, second physiological data, and third physiological data; determining a second exercise intensity based on the cardiovascular risk level and the first exercise intensity; and determining the first heart rate zone based on the correspondence between the heart rate zone and the exercise intensity from the second exercise intensity.

[0519] For example, the method for determining the cardiovascular risk level can refer to the relevant content in step S902 shown in Figure 9A above, which will not be repeated here.

[0520] In this way, the user's cardiovascular risk level can be determined first based on physiological data before, during and after exercise (such as first physiological data, second physiological data, third physiological data, etc.), and then the first heart rate zone and / or second exercise intensity can be determined based on the cardiovascular risk level.

[0521] In one possible implementation, the second exercise intensity is determined based on the cardiovascular risk level and the first exercise intensity. Specifically, if the cardiovascular risk level is high, the second exercise intensity is determined to be two levels lower than the first exercise intensity; if the cardiovascular risk level is medium, the second exercise intensity is determined to be one level lower than the first exercise intensity; if the cardiovascular risk level is low, the second exercise intensity is determined to be equal to the first exercise intensity.

[0522] For example, the specific method for determining the second exercise intensity based on the cardiovascular risk level and the first exercise intensity can be referred to the relevant description in step S903 shown in Figure 9A above, and will not be repeated here.

[0523] Thus, if the cardiovascular risk level is high, the intensity of the next exercise session (i.e., the second exercise intensity) can be reduced by two levels compared to the intensity of the current exercise session (i.e., the first exercise intensity); if the cardiovascular risk level is medium, the intensity of the next exercise session can be reduced by one level; and if the cardiovascular risk level is low, the intensity of the next exercise session can remain unchanged.

[0524] It should be noted that if the first exercise intensity cannot meet the needs of exercise intensity adjustment, for example, if the first exercise intensity cannot be reduced by one or two levels, then the second exercise intensity can be the lowest level of exercise intensity, or the second exercise intensity can be avoiding exercise altogether.

[0525] In one possible implementation, the cardiovascular risk level is determined based on first physiological data, second physiological data, and third physiological data, specifically including: determining the cardiovascular risk level and blood pressure response based on the first physiological data, second physiological data, and third physiological data; and determining the second exercise intensity based on the cardiovascular risk level and first exercise intensity, specifically including: determining the second exercise intensity based on the cardiovascular risk level, blood pressure response, and first exercise intensity.

[0526] For example, the specific method for determining the second exercise intensity based on cardiovascular risk level, blood pressure response and first exercise intensity can be referred to the relevant description in step S903 shown in Figure 9A above, and will not be repeated here.

[0527] In this way, the user's cardiovascular risk level and blood pressure response can be determined first based on physiological data before, during and after exercise (such as first physiological data, second physiological data, third physiological data, etc.), and then the first heart rate zone and / or second exercise intensity can be determined based on the cardiovascular risk level and blood pressure response.

[0528] In one possible implementation, a first heart rate zone and / or a second exercise intensity are determined based on first physiological data, second physiological data, third physiological data, and a first exercise intensity. Specifically, this includes: determining a blood pressure response based on the first physiological data, second physiological data, and third physiological data; determining a second exercise intensity based on the blood pressure response and the first exercise intensity; and determining the first heart rate zone based on the correspondence between the heart rate zone and the exercise intensity.

[0529] For example, the method for determining the blood pressure response can refer to the relevant content in step S902 shown in Figure 9A above, which will not be repeated here.

[0530] In this way, the user's blood pressure response can be determined first based on physiological data before, during and after exercise (such as first physiological data, second physiological data, third physiological data, etc.), and then the first heart rate zone and / or second exercise intensity can be determined based on the blood pressure response.

[0531] In one possible implementation, after outputting the first recommendation prompt, the method further includes: acquiring historical measurement records, which include a first heart rate zone and / or a second exercise intensity; detecting that the user has started a second exercise session, and outputting a first prompt based on the historical measurement records, the first prompt being used to suggest a recommended heart rate zone and / or recommended exercise intensity to the user during the second exercise session.

[0532] For example, the historical measurement record can be the historical measurement record in the embodiment shown in Figure 6 above.

[0533] Thus, at the start of the second exercise, or during the second exercise, the first electronic device can output a first prompt based on a previously determined first heart rate zone and / or second exercise intensity. The first prompt is used to remind the user of the recommended heart rate zone and / or recommended exercise intensity during the second exercise. The second exercise is the exercise following the first exercise, and the first exercise is the exercise for which the second physiological data during the exercise process was acquired.

[0534] In one possible implementation, the method further includes: acquiring the user's fourth physiological data before the second exercise, the fourth physiological data including the sixth blood pressure and the sixth heart rate; and outputting a first prompt based on historical measurement records, specifically including: outputting a first prompt based on the fourth physiological data and historical measurement records.

[0535] In this way, the first prompt can be determined based on one or more of the first heart rate zone determined during the first exercise, the second exercise intensity, and the fourth physiological data before the second exercise.

[0536] In one possible implementation, acquiring second physiological data during user movement specifically includes: monitoring the user's heart rate signal during movement; determining the user's movement scenario as a first movement scenario based on the heart rate signal during movement; and determining a second heart rate based on the first movement scenario and the heart rate signal during movement.

[0537] In this way, the exercise scenario of the first exercise can be determined based on the heart rate signal during the exercise process (i.e., the first exercise), and then an appropriate heart rate calculation method can be selected according to the exercise scenario to calculate the second heart rate during the first exercise process.

[0538] In one possible implementation, the first electronic device can also detect the user's exercise mode (e.g., cycling, running, swimming, etc.) during exercise and select an appropriate heart rate calculation method based on the exercise type to calculate the second heart rate during the first exercise.

[0539] In one possible implementation, the first electronic device can also determine the first motion scenario in which the user is located based on the preset correspondence between motion modes and motion scenarios after detecting the user's motion mode, and determine the second heart rate based on the first motion scenario and the heart rate signal during the motion.

[0540] In one possible implementation, the first exercise scenario is a stable exercise scenario; the second heart rate is determined based on the first exercise scenario and the heart rate signal during exercise, specifically including: determining the second heart rate as the average heart rate of the user throughout the entire exercise process based on the first exercise scenario and the heart rate signal during exercise.

[0541] For example, the heart rate signal waveform in a stable motion scenario can be referred to the relevant description in the embodiment shown in Figure 10A above.

[0542] In this way, in a stable exercise scenario, the average value throughout the entire exercise process can be used as the heart rate during this exercise, i.e., the second heart rate.

[0543] In one possible implementation, the first exercise scenario is an explosive exercise scenario; the second heart rate is determined based on the first exercise scenario and the heart rate signal during exercise, specifically including: determining the second heart rate as the average heart rate within a third time period before the end of the user's exercise based on the first exercise scenario and the heart rate signal during exercise.

[0544] For example, the heart rate signal waveform in a burst-type exercise scenario can be referred to the relevant description in the embodiment shown in Figure 10B above.

[0545] In this way, in explosive exercise scenarios, the average heart rate signal within the third time period before the end of exercise (such as three minutes, five minutes, etc.) can be used as the heart rate during this exercise, i.e., the second heart rate.

[0546] It should be noted that, in one possible implementation, the third time before the user finishes exercising can be regarded as the burst phase of the exercise, that is, the phase in which the amplitude of the heart rate signal suddenly increases.

[0547] In one possible implementation, the first exercise scenario is an intermittent exercise scenario; the second heart rate is determined based on the first exercise scenario and the heart rate signal during exercise, specifically including: determining the duration of each preset heart rate interval during exercise based on the first exercise scenario and the heart rate signal during exercise; and determining the second heart rate as any value in the heart rate interval with the longest duration during exercise.

[0548] For example, the heart rate signal waveform in an intermittent exercise scenario can be referred to the relevant description in the embodiment shown in Figure 10C above.

[0549] Thus, in intermittent exercise scenarios, any value in the heart rate interval with the longest duration of the heart rate signal amplitude during exercise can be used as the heart rate during this exercise, i.e., the second heart rate; or, the mode of the heart rate signal amplitude during exercise can be used as the heart rate during this exercise, i.e., the second heart rate.

[0550] In one possible implementation, acquiring second physiological data during user movement specifically includes: acquiring historical heart rate records; monitoring heart rate signals during user movement; and determining a second heart rate based on historical heart rate records and heart rate signals during movement.

[0551] In this way, the second heart rate can be determined by combining previously measured heart rates (i.e., historical heart rate records) with the heart rate signals measured during the current exercise.

[0552] In one possible implementation, the second physiological data also includes a second blood pressure reading.

[0553] In this way, blood pressure can be measured during exercise, and combined with blood pressure and other physiological data during exercise, the recommended heart rate zone and / or recommended exercise intensity for the next exercise can be determined.

[0554] In one possible implementation, the third physiological data also includes a fourth heart rate and a fourth blood pressure; acquiring the third physiological data after the user's exercise specifically includes: measuring the third heart rate and the third blood pressure at a first moment, where the first moment is the moment when the user ends the exercise; measuring the fourth heart rate and the fourth blood pressure at a second moment, where the second moment is later than the first moment, and the duration between the first moment and the second moment is the first duration.

[0555] It should be noted that in another possible implementation, the first moment can also be the moment after a preset time (e.g., 5 seconds, 10 seconds, etc.) after the end of the movement, and the first moment is earlier than the second moment.

[0556] For example, the first moment can be moment 1 in the embodiment shown in Figure 8 above, and the second moment can be moment 2 in the embodiment shown in Figure 8; the fourth heart rate and the fourth blood pressure can be the centripetal rate 4 and blood pressure 4 in the embodiment shown in Figure 8.

[0557] In this way, heart rate and blood pressure can be measured multiple times after exercise. For example, heart rate and blood pressure can be measured once immediately after exercise ends, and again at the second moment after exercise ends. Multiple measurements help improve the accuracy of the measurements, making it easier to obtain a more accurate first heart rate zone and / or second exercise intensity.

[0558] In one possible implementation, the third physiological data also includes a fifth heart rate and a fifth blood pressure; the method further includes measuring the fifth heart rate and the fifth blood pressure at a third time point, which is later than the first time point, and the duration between the first time point and the third time point is a second duration.

[0559] For example, the third time point can be time point 3 in the embodiment shown in Figure 8 above; the fifth heart rate and the fifth blood pressure can be the centripetal rate 5 and blood pressure 5 in the embodiment shown in Figure 8.

[0560] In this way, heart rate and blood pressure can be measured again at the third moment after exercise ends. Multiple measurements help improve the accuracy of the measurements, making it easier to obtain a more accurate first heart rate zone and / or second exercise intensity later.

[0561] In one possible implementation, the third physiological data also includes an electrocardiogram (ECG) signal; the method further includes measuring the ECG signal at a fourth time point.

[0562] In this way, after exercise, electrocardiogram (ECG) signals can be measured, and the first heart rate zone and / or the second exercise intensity can be determined by combining the ECG signals, which makes it easier to obtain a more accurate first heart rate zone and / or second exercise intensity later.

[0563] In another possible implementation, the first physiological data and / or the second physiological data may also include electrocardiogram signals, which is not limited herein.

[0564] In one possible implementation, before acquiring the second physiological data of the user's movement, the method further includes: receiving a second operation from the user and determining that the user has started moving; or detecting that the user's activity level is greater than a first activity level threshold and determining that the user has started moving.

[0565] In this way, it is possible to determine whether a user has started exercising based on the user's actions (the second action), and it is also possible to determine whether a user has started exercising by monitoring the amount of the user's activity.

[0566] The various embodiments of this application can be combined arbitrarily to achieve different technical effects.

[0567] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium accessible to a computer or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state disk (SSD)).

[0568] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. This program can be stored in a computer-readable storage medium, and when executed, it can include the processes described in the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as ROM or random access memory (RAM), magnetic disks, or optical disks.

[0569] In summary, the above description is merely an embodiment of the technical solution of this application and is not intended to limit the scope of protection of this application. Any modifications, equivalent substitutions, improvements, etc., made based on the disclosure of this application should be included within the scope of protection of this application.

Claims

1. A measurement method applied to a first electronic device, characterized in that, The method includes: Obtain the correspondence between heart rate zones and exercise intensity; Acquire the user's first physiological data before exercise, including first blood pressure and first heart rate; Acquire second physiological data during user movement, including second heart rate; Acquire third physiological data of the user after exercise, including third heart rate and third blood pressure; The first exercise intensity corresponding to the second heart rate is determined based on the correspondence between the heart rate zones and exercise intensity. Based on the first physiological data, the second physiological data, the third physiological data, and the first exercise intensity, a first heart rate zone and / or a second exercise intensity are determined; Output a first recommendation prompt, which is used to prompt the user for the first heart rate zone and / or the second exercise intensity.

2. The method according to claim 1, characterized in that, The determination of the first heart rate zone and / or the second exercise intensity based on the first physiological data, the second physiological data, the third physiological data, and the first exercise intensity specifically includes: Cardiovascular risk level is determined based on the first physiological data, the second physiological data, and the third physiological data; The second exercise intensity is determined based on the cardiovascular risk level and the first exercise intensity. The first heart rate zone is determined based on the correspondence between the heart rate zone and the exercise intensity, using the second exercise intensity as a basis.

3. The method according to claim 2, characterized in that, The determination of the second exercise intensity based on the cardiovascular risk level and the first exercise intensity specifically includes: If the cardiovascular risk level is high, the second exercise intensity is determined to be two levels lower than the first exercise intensity. If the cardiovascular risk level is medium risk, the second exercise intensity is determined to be one level lower than the first exercise intensity. If the cardiovascular risk level is low, the second exercise intensity is determined to be equal to the first exercise intensity.

4. The method according to claim 2, characterized in that, The determination of cardiovascular risk level based on the first physiological data, the second physiological data, and the third physiological data specifically includes: Cardiovascular risk level and blood pressure response are determined based on the first physiological data, the second physiological data, and the third physiological data; The determination of the second exercise intensity based on the cardiovascular risk level and the first exercise intensity specifically includes: The second exercise intensity is determined based on the cardiovascular risk level, the blood pressure response, and the first exercise intensity.

5. The method according to any one of claims 1-4, characterized in that, After outputting the first recommendation suggestion, the method further includes: Acquire historical measurement records, which include the first heart rate zone and / or the second exercise intensity; Upon detecting that the user has started a second exercise session, a first prompt is output based on the historical measurement records. The first prompt is used to suggest the recommended heart rate zone and / or recommended exercise intensity during the second exercise session.

6. The method according to claim 5, characterized in that, The method further includes: Acquire the user’s fourth physiological data prior to the second exercise, the fourth physiological data including sixth blood pressure and sixth heart rate; The step of outputting the first prompt based on the historical measurement records specifically includes: The first prompt is output based on the fourth physiological data and the historical measurement records.

7. The method according to any one of claims 1-6, characterized in that, The acquisition of the second physiological data during user movement specifically includes: Monitor the user's heart rate signal during exercise; Based on the heart rate signal during the exercise, the user's exercise scenario is determined as the first exercise scenario; The second heart rate is determined based on the first exercise scenario and the heart rate signal during the exercise.

8. The method according to claim 7, characterized in that, The first motion scenario is a stable motion scenario; Determining the second heart rate based on the first exercise scenario and the heart rate signal during the exercise specifically includes: The second heart rate is determined based on the first exercise scenario and the heart rate signal during the exercise, which is the average heart rate of the user throughout the entire exercise process.

9. The method according to claim 7, characterized in that, The first motion scenario is an explosive motion scenario; Determining the second heart rate based on the first exercise scenario and the heart rate signal during the exercise specifically includes: Based on the first exercise scenario and the heart rate signal during the exercise, the second heart rate is determined to be the average heart rate of the user during the third time period before the end of the exercise.

10. The method according to claim 7, characterized in that, The first motion scenario is an intermittent motion scenario; Determining the second heart rate based on the first exercise scenario and the heart rate signal during the exercise specifically includes: The duration of each preset heart rate zone during the exercise is determined based on the first exercise scenario and the heart rate signal during the exercise. The second heart rate is determined to be any value in the heart rate zone that lasts the longest during exercise.

11. The method according to any one of claims 1-6, characterized in that, The acquisition of the second physiological data during user movement specifically includes: Retrieve historical heart rate records; Monitor the user's heart rate signal during exercise; The second heart rate is determined based on the historical heart rate record and the heart rate signal during exercise.

12. The method according to any one of claims 7-11, characterized in that, The second physiological data also includes a second blood pressure.

13. The method according to any one of claims 1-12, characterized in that, The third physiological data also includes a fourth heart rate and a fourth blood pressure; The acquisition of the third physiological data after user exercise specifically includes: The third heart rate and third blood pressure are measured at the first moment, which is the moment when the user ends the exercise. The fourth heart rate and fourth blood pressure were measured at a second time point, which is later than the first time point, and the duration between the first time point and the second time point is the first duration.

14. The method according to claim 13, characterized in that, The third physiological data also includes the fifth heart rate and the fifth blood pressure; The method further includes: The fifth heart rate and fifth blood pressure are measured at a third time point, which is later than the first time point, and the duration between the first time point and the third time point is the second duration.

15. The method according to any one of claims 1-14, characterized in that, The third physiological data also includes electrocardiogram (ECG) signals; The method further includes: The electrocardiogram signal was measured at the fourth time point.

16. The method according to any one of claims 1-15, characterized in that, Prior to acquiring the second physiological data during user movement, the method further includes: Upon receiving the user's second action, it is determined that the user has started moving; or, If the user's activity level is detected to be greater than the first activity level threshold, it is determined that the user has started exercising.

17. An electronic device, specifically a first electronic device, characterized in that: It includes one or more processors and one or more memories; wherein the one or more memories are coupled to one or more processors, and the one or more memories are used to store computer instructions that, when the one or more processors execute the computer instructions, implement the measurement method of any one of claims 1-16.

18. A chip system, characterized in that, It includes a processing circuit and an interface circuit, wherein the interface circuit is used to receive code instructions and transmit them to the processing circuit, and the processing circuit is used to execute the code instructions to perform the measurement method according to any one of claims 1-16.

19. A readable storage medium, characterized in that, The device stores computer instructions that, when executed by a processor, implement the measurement method according to any one of claims 1-16.

20. A computer program product, characterized in that, It includes computer instructions, which, when executed by a processor, implement the measurement method according to any one of claims 1-16.

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