A measurement method, system and related devices

Abstract

The application discloses a measurement method, system and related device, and relates to the technical field of electronics. The method is applied to a first electronic device, and the method comprises the following steps: acquiring a first physiological signal of a user before exercise, wherein the first physiological signal comprises a first photoplethysmogram (PPG) signal; detecting that the user has finished the exercise, acquiring a second physiological signal of the user after the exercise, wherein the second physiological signal comprises a second PPG signal; and outputting a first evaluation result based on the first physiological signal and the second physiological signal, wherein the first evaluation result is used for indicating the heart pumping function of the user. In this way, the first electronic device can evaluate the heart function of the user based on the acquired first physiological signal before the exercise and the second physiological signal after the exercise, determine and output the heart pumping function of the user, so that the user can know the heart function condition of the user in time, and the safety of the user is ensured.

Description

Technical Field

[0001] This application relates to the field of electronic technology, and in particular to a measurement method, system and related apparatus. Background Technology

[0002] With the continuous development of electronic technology, more and more electronic devices are equipped with health monitoring functions. Existing electronic devices can generally measure basic physiological parameters such as heart rate and blood pressure.

[0003] When users need to measure their cardiac function, they generally need to use medical devices to complete the measurement and assessment because cardiac function involves many physiological parameters. However, medical devices are not portable, preventing users from taking measurements anytime, anywhere, and thus hindering their ability to promptly understand their cardiac function status. Summary of the Invention

[0004] This application provides a measurement method, system, and related device that enables convenient cardiac function assessment, allowing users to understand their own cardiac function status in a timely manner.

[0005] In a first aspect, this application provides a measurement method applied to a first electronic device, the method comprising: acquiring a first physiological signal of a user before exercise, the first physiological signal including a first photoplethysmography (PPG) signal; detecting that the user has ended exercise, acquiring a second physiological signal of the user after exercise, the second physiological signal including a second PPG signal; and outputting a first evaluation result based on the first physiological signal and the second physiological signal, the first evaluation result being used to indicate the user's cardiac pumping function.

[0006] In this way, the first electronic device can assess the user's cardiac function based on the first physiological signal before exercise and the second physiological signal after exercise, determine and output the user's heart pumping function, so that the user can understand his / her cardiac function in a timely manner and ensure the user's safety.

[0007] In one possible implementation, the first evaluation result is also used to indicate the user's motor function.

[0008] In this way, users can determine their motor function based on the initial assessment results, and then determine the intensity of subsequent exercise based on their own motor function, thereby improving the safety of exercise.

[0009] In one possible implementation, the first assessment results are also used to indicate the user's cardiac pumping function and / or the user's exercise function.

[0010] In one possible implementation, the first assessment result includes one or more of the following: cardiovascular capacity, exercise capacity, and exercise endurance; wherein cardiovascular capacity is used to indicate the user's ability to pump blood; exercise capacity is used to indicate the strength of the user's physical function; and exercise endurance is used to indicate the user's ability to maintain stable physical function during exercise.

[0011] In this way, users can understand their own cardiac pumping function and / or exercise function based on the initial assessment results, and determine the subsequent exercise intensity based on their own exercise function and / or cardiac pumping function to improve the safety of exercise.

[0012] In one possible implementation, after acquiring the user's first physiological signal before exercise, the method further includes: determining a first physiological parameter based on the first physiological signal, the first physiological parameter including the user's heart rate, stroke volume, and cardiac output before exercise.

[0013] The first electronic device can determine the user's first physiological parameters before exercise based on a pre-stored physiological signal processing model (such as a PPG processing model, a fusion model, etc.). It should be noted that the first physiological parameters may include heart rate and stroke volume, and optionally, cardiac output may also be included.

[0014] In this way, the user's physiological parameters before exercise can be determined, and these parameters can be used as the user's physiological parameters at rest for cardiac function assessment.

[0015] In one possible implementation, the method further includes: determining a second physiological parameter based on a second physiological signal, the second physiological parameter including heart rate, stroke volume, and cardiac output after exercise.

[0016] The first electronic device can determine the user's second physiological parameters after exercise based on a pre-stored physiological signal processing model (such as a PPG processing model, a fusion model, etc.). It should be noted that the second physiological parameters may include heart rate and stroke volume, and optionally, cardiac output may also be included.

[0017] This allows us to determine the user's physiological parameters after exercise and to assess cardiac function based on these parameters.

[0018] In one possible implementation, a first evaluation result is output based on a first physiological signal and a second physiological signal, specifically including: determining the first evaluation result based on the first physiological parameter and the second physiological parameter.

[0019] In this way, after determining the first physiological parameter and the second physiological parameter, the first electronic device can complete the cardiac function assessment based on the first physiological parameter and the second physiological parameter and obtain the first assessment result.

[0020] In one possible implementation, the method further includes: acquiring a third physiological signal during user exercise, the third physiological signal including a third PPG signal; determining a third physiological parameter during exercise based on the third physiological signal, the third physiological parameter including any one or more of the following: heart rate, stroke volume, cardiac output, oxygen uptake, and calorie consumption during exercise; and outputting a first evaluation result based on the first physiological signal and the second physiological signal, specifically including: determining the first evaluation result based on the first physiological parameter, the second physiological parameter, and the third physiological parameter.

[0021] In this way, cardiac function can be assessed by combining the third physiological parameter during exercise, resulting in a more accurate assessment of cardiac function.

[0022] In one possible implementation, after acquiring the user's first physiological signal before exercise, the method further includes: determining whether the user has a risk of heart failure based on the first physiological signal; if there is a risk of heart failure, outputting a risk warning, which is used to inform the user of the risk of heart failure and suggest stopping exercise.

[0023] In this way, the user's risk of heart failure can be determined based on the first physiological parameters before exercise. If the risk of heart failure is found, the user can be promptly alerted to avoid strenuous exercise and improve user safety.

[0024] In one possible implementation, the method further includes: detecting that the user has started moving, and outputting a first prompt, the first prompt being used to prompt the user to start moving.

[0025] In this way, the first prompt can notify the user that exercise has started. Optionally, the first prompt can also indicate the type of exercise. Further optionally, the first prompt can also be used to indicate one or more parameters such as exercise pace, calorie consumption, oxygen uptake, and heart rate.

[0026] In one possible implementation, the first electronic device includes a PPG module and an impedance volumetric plethysmography (IPG) sensor; the first physiological signal further includes a first IPG signal, and the second physiological signal further includes a second IPG signal; acquiring the user's first physiological signal before exercise specifically includes: acquiring the user's first PPG signal before exercise through the PPG module; acquiring the user's first IPG signal before exercise through the IPG sensor; acquiring the user's second physiological signal after exercise specifically includes: acquiring the user's second PPG signal after exercise through the PPG module; acquiring the user's second IPG signal after exercise through the IPG sensor.

[0027] The first electronic device can be an electronic device with a PPG module and an IPG sensor, such as a wearable device like a watch, bracelet, smart ring, or smart armband, or other types of electronic devices. In this case, the first electronic device can measure the PPG and IPG signals independently.

[0028] It should be noted that, in another possible implementation, when the first electronic device has a PPG module and an IPG sensor, the first electronic device can determine the composition of the first physiological signal measured before exercise and the second physiological signal measured after exercise based on the status of the PPG module and the IPG sensor and the remaining battery power. For example, when the remaining battery power of the first electronic device after exercise is less than a preset battery threshold, only the PPG signal can be measured after exercise, and the IPG signal can be omitted; or, when an IPG sensor malfunction is detected, the IPG signal can be omitted, etc., which are not limited herein.

[0029] In this way, the composition of the first physiological signal and / or the second physiological signal can be determined based on the actual application scenario, so as to adapt to different application scenarios and increase the flexibility of the method.

[0030] In one possible implementation, the first physiological signal further includes a first cardiac impact BCG signal; the second physiological signal further includes a second BCG signal; the method further includes: establishing a communication connection with a second electronic device; acquiring the user's first physiological signal before exercise, further including: outputting a second prompt, the second prompt being used to prompt the user to use the second electronic device to measure the BCG signal before exercise; receiving the user's first BCG signal before exercise sent by the second electronic device; acquiring the user's second physiological signal after exercise, further including: outputting a third prompt, the third prompt being used to prompt the user to use the second electronic device to measure the BCG signal after exercise; receiving the user's second BCG signal after exercise sent by the second electronic device.

[0031] The second electronic device can be an electronic device with a BCG sensor, such as an electronic scale. When the first electronic device and the second electronic device establish a communication connection, the first electronic device can acquire the BCG signals measured by the second electronic device before and after exercise, and combine the BCG signals before and after exercise to complete the cardiac function assessment, thereby improving the accuracy of the cardiac function assessment results.

[0032] In one possible implementation, the first electronic device includes a PPG module; the first physiological signal further includes a first IPG signal and / or a first pressure BCG signal; the second physiological signal further includes a second IPG signal and / or a second BCG signal; the method further includes: establishing a communication connection with the second electronic device; acquiring the user's first physiological signal before exercise, specifically including: acquiring the user's first PPG signal before exercise through the PPG module; outputting a fourth prompt, the fourth prompt being used to prompt the user to use the second electronic device to measure the IPG signal and / or BCG signal before exercise; receiving the first IPG signal and / or the first BCG signal sent by the second electronic device; acquiring the user's second physiological signal after exercise, specifically including: acquiring the user's second PPG signal after exercise through the PPG module; outputting a fifth prompt, the fifth prompt being used to prompt the user to use the second electronic device to measure the IPG signal and / or BCG signal after exercise; receiving the second IPG signal and / or the second BCG signal sent by the second electronic device.

[0033] The first electronic device can be an electronic device with a PPG module, such as a wearable device like a watch or wristband, or other types of electronic devices. The second electronic device can be an electronic device with a BCG sensor and / or an IPG sensor, such as an electronic scale, or other types of electronic devices. When a communication connection is established between the first and second electronic devices, the first electronic device can acquire the BCG and / or IPG signals measured by the second electronic device before and after exercise, and combine these signals to complete a cardiac function assessment, thereby improving the accuracy of the cardiac function assessment results.

[0034] In one possible implementation, the method further includes: establishing a communication connection between the first electronic device and the third electronic device; acquiring the user's first physiological signal before exercise, specifically including: sending a first acquisition request to the third electronic device, the first acquisition request being used to request the acquisition of a first PPG signal; receiving the first PPG signal sent by the third electronic device; acquiring the user's second physiological signal after exercise, specifically including: sending a second acquisition request to the third electronic device, the second acquisition request being used to request the acquisition of a second PPG signal; receiving the second PPG signal sent by the third electronic device.

[0035] The first electronic device can be a smartphone, tablet, laptop, or other electronic device. The second electronic device can be an electronic device with a BCG sensor and / or an IPG sensor, such as an electronic scale, or other types of electronic devices. The third electronic device can be an electronic device with a PPG module, such as a watch, bracelet, or other wearable device, or other types of electronic devices. When the first electronic device establishes a communication connection with the second electronic device, the first electronic device can acquire the BCG and / or IPG signals before and after exercise measured by the second electronic device; when the first electronic device establishes a communication connection with the third electronic device, the first electronic device can acquire the PPG signals before and after exercise measured by the third electronic device (optionally, also including ECG signals); then, the first electronic device can complete a cardiac function assessment based on the physiological signals measured by the second and third electronic devices to obtain a first assessment result.

[0036] In this way, the first electronic device can combine physiological signals measured by multiple electronic devices to complete the cardiac function assessment, increasing the diversity of physiological signals and thus improving the accuracy of the cardiac function assessment.

[0037] In one possible implementation, the first physiological signal further includes a first BCG signal and / or a first IPG signal; the second physiological signal further includes a second BCG signal and / or a second IPG signal; the method further includes: establishing a communication connection between the first electronic device and the second electronic device; acquiring the user's first physiological signal before exercise, further including: outputting a sixth prompt, the sixth prompt being used to prompt the user to use the second electronic device to measure the IPG signal and / or BCG signal before exercise; receiving the first BCG signal and / or the first IPG signal sent by the second electronic device; acquiring the user's second physiological signal after exercise, further including: outputting a seventh prompt, the seventh prompt being used to prompt the user to use the second electronic device to measure the IPG signal and / or BCG signal after exercise; receiving the second BCG signal and / or the second IPG signal sent by the second electronic device.

[0038] In this way, a sixth prompt can remind the user to use the second electronic device to measure the BCG and / or IPG signals before exercise; a seventh prompt can also remind the user to use the second electronic device to measure the BCG and / or IPG signals after exercise; thus preventing the user from forgetting to measure the BCG and / or IPG signals.

[0039] In one possible implementation, before acquiring the user's first physiological signal before exercise, the method further includes: receiving a first operation from the user; acquiring the user's first physiological signal before exercise specifically includes: in response to the first operation, acquiring the user's first physiological signal before exercise.

[0040] In this way, the user's first action can be used as a trigger condition to obtain the user's first physiological signal before exercise.

[0041] In one possible implementation, detecting that the user has started moving specifically includes: receiving an operation from the user to start moving; or, detecting that the user's moving speed is greater than a speed threshold.

[0042] In this way, it is possible to determine whether a user has started moving based on the user's speed or the user's actions.

[0043] In one possible implementation, detecting that the user has ended their movement specifically includes: receiving an operation from the user to close the movement state; or, detecting that the user's movement speed is less than or equal to a speed threshold.

[0044] In this way, it is possible to determine whether a user has ended their workout based on their speed or actions.

[0045] In one possible implementation, before the first electronic device establishes a communication connection with the second electronic device, the method further includes: obtaining a first location of the first electronic device; and determining, based on the first location, that a second electronic device exists near the first electronic device.

[0046] In this way, it can be determined whether a second electronic device can be connected based on the location of the first electronic device.

[0047] Secondly, this application provides an electronic device, which is a first electronic device, comprising 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, and when the one or more processors execute the computer instructions, they implement the measurement method in any possible implementation of any of the above aspects.

[0048] 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.

[0049] 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.

[0050] Fifthly, this application provides a computer program product comprising computer instructions that, when executed by a processor, implement the measurement method in any of the possible implementations of any of the above aspects.

[0051] The beneficial effects of aspects two through five can be referenced from the beneficial effects of aspect one above. Attached Figure Description

[0052] Figure 1A This is a schematic diagram of the device configuration of an electronic device provided in an embodiment of this application;

[0053] Figure 1B This application provides a schematic diagram of the system architecture of a measurement system.

[0054] Figure 1C This application provides a schematic diagram of the system architecture of a measurement system.

[0055] Figure 1D A schematic diagram of the hardware structure of an electronic device provided in an embodiment of this application;

[0056] Figure 1E A schematic diagram of the hardware structure of an electronic scale provided in an embodiment of this application;

[0057] Figure 2 A schematic flowchart of a measurement method provided in an embodiment of this application;

[0058] Figure 3A A schematic diagram of a PPG processing model for electronic device storage provided in an embodiment of this application;

[0059] Figure 3B A schematic diagram illustrating another process for determining physiological parameters based on pre-exercise PPG signals, provided as an embodiment of this application;

[0060] Figure 3C A schematic diagram of an IPG processing model provided in an embodiment of this application;

[0061] Figure 3D A schematic diagram of a fusion model provided in an embodiment of this application;

[0062] Figure 4A A schematic diagram of an exercise and cardiac function assessment model provided in an embodiment of this application;

[0063] Figure 4B A flowchart illustrating a process for determining evaluation results based on physiological parameters before and after exercise and physiological parameters during exercise, provided for an embodiment of this application;

[0064] Figure 4C A schematic diagram of a motion and cardiac function assessment model stored in an electronic device, provided as an embodiment of this application;

[0065] Figure 5 A flowchart illustrating another measurement method provided in an embodiment of this application;

[0066] Figure 6A A schematic diagram of a fusion model provided in an embodiment of this application;

[0067] Figure 6B A schematic diagram of a BCG processing model provided in an embodiment of this application;

[0068] Figure 7 A flowchart illustrating another measurement method provided in an embodiment of this application;

[0069] Figures 8A-8I A schematic diagram of the interface for a set of electronic devices to acquire physiological signals of a user in a resting state, provided in an embodiment of this application;

[0070] Figures 9A-9F A schematic diagram of an interface for a set of electronic devices provided in this application to acquire physiological signals after exercise and output evaluation results;

[0071] Figure 9G-Figure 9K A schematic diagram of an interface for prompting measurement methods from an electronic device provided in an embodiment of this application;

[0072] Figure 10 This is a schematic diagram of the functional modules of an electronic device provided in an embodiment of this application;

[0073] Figure 11 This is a schematic diagram of the functional modules of a measurement system provided in an embodiment of this application;

[0074] Figure 12 This is a schematic diagram of the functional modules of a measurement system provided in an embodiment of this application;

[0075] Figure 13 This is a schematic diagram of the physical structure of an electronic device provided in an embodiment of this application;

[0076] Figure 14 This is a flowchart illustrating a measurement method provided in an embodiment of this application. Detailed Implementation

[0077] 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.

[0078] 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.

[0079] 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.

[0080] The following is an introduction to some terms used in this application.

[0081] Heart rate (HR): Heart rate refers to the number of times the heart beats per minute. Each heartbeat consists of one contraction and one relaxation.

[0082] Cardiac output (CO): Cardiac output refers to the total amount of blood pumped out by one ventricle (left or right ventricle) per minute, also known as minute output. The output of the left and right ventricles is approximately equal.

[0083] Stroke volume (SV): Stroke volume refers to the amount of blood ejected by one ventricle of the heart in a single pumping motion (left or right ventricle). The product of stroke volume and heart rate is cardiac output.

[0084] Impedance plethysmography (IPG) signal: The IPG signal is acquired by an IPG sensor. When the heart pumps blood, the amount of blood in the chest cavity increases, which reduces the current impedance passing through the chest cavity. Since blood is a good conductor, the impedance change reflects the amount of blood with each heartbeat, i.e., stroke volume. Therefore, an IPG sensor can obtain an IPG signal by sending a weak, high-frequency current to the body and measuring the change in body impedance caused by the heart pumping blood. This IPG signal can then be used to determine the user's stroke volume.

[0085] Ballistocardiography (BCG) signal: The BCG signal is a signal that reflects the mechanical motion caused by the heart's pumping action. The heart's pumping action not only produces electrophysiological signals but also minute mechanical vibrations and displacements. The BCG signal can reflect these mechanical vibrations and displacements, such as the minute changes in body weight caused by the heart's contraction and relaxation, and thus can be used to assess the force and efficiency of the heart's pumping action.

[0086] Electrocardiogram (ECG) signal: The heart pumps blood rhythmically, and its contraction and relaxation rhythm is controlled by cardiac electrical activity. Under normal circumstances, the sinoatrial node regularly sends impulses, which, through a special conduction system, generate electrical impulses throughout the entire myocardium. The electric field generated by these impulses is distributed throughout the body, and the resulting tiny currents are conducted through body tissues to the body surface, causing different potentials at different locations on the body surface. By measuring the potential difference at different locations on the body surface, the ECG signal can be obtained.

[0087] The following describes the device configuration of an electronic device 100 provided in an embodiment of this application.

[0088] Figure 1A This illustration shows a schematic diagram of the device configuration of an electronic device 100 provided in an embodiment of this application.

[0089] like Figure 1A As shown, the electronic device 100 may include a watch body 11 and a watch strap 12. In some embodiments, the watch body 11 and the watch strap 12 are detachable. The watch body 11 may be provided with a display screen, which can interact with the user and can also display the time, output exercise and cardiac function assessment results, etc.

[0090] It is understandable that electronic device 100 can be Figure 1A The wristband shown in the embodiment can also be a watch, smart ring, smart armband, or other wearable device. This application does not limit the specific device type and form of the electronic device 100.

[0091] The system architectures of the two measurement systems provided in the embodiments of this application are described below.

[0092] Figure 1B A schematic diagram of the system architecture of a measurement system 10 provided in an embodiment of this application is shown.

[0093] like Figure 1B As shown, the measurement system 10 may include an electronic device 100 and an electronic scale 200, and the electronic device 100 may establish a communication connection with the electronic scale 200. The communication connection between the electronic device 100 and the electronic scale 200 may be a wired communication connection or a wireless communication connection. The wireless communication connection may include a wireless communication connection based on any of the following wireless communication technologies: wireless local area network (WLAN) (such as wireless fidelity (Wi-Fi) network), Bluetooth (BT), global navigation satellite system (GNSS), frequency modulation (FM), near field communication (NFC), infrared (IR), NearLink, and intrabody communication (IBC).

[0094] The electronic device 100 can acquire physiological signals of the user before and after exercise. These physiological signals may include photoplethysmography (PPG) signals, and optionally, may also include one or more of the following: ECG signals, IPG signals, and BCG signals. The electronic device 100 can acquire PPG signals independently; optionally, it can also acquire IPG and / or ECG signals. In some embodiments, the electronic device 100 can receive BCG and / or IPG signals before and after exercise sent by the electronic scale 200. The electronic device 100 can determine and output evaluation results based on the physiological signals before and after exercise. These evaluation results are used to indicate cardiac function and / or exercise function. Cardiac function indicates the strength of the user's heart pumping function, and exercise function indicates the user's physical function and ability to maintain stable physical function during exercise.

[0095] The electronic scale 200 can collect BCG and / or IPG signals before and after the user's exercise. The electronic scale 200 can send the collected BCG and / or IPG signals to the electronic device 100.

[0096] exist Figure 1BThe device form and type of the electronic device 100 in the measurement system 10 shown can be referred to the above. Figure 1A According to the relevant description in the illustrated embodiment, the electronic scale 200 can be as follows: Figure 1B The body fat scale shown can also be an electronic scale with a pressure sensor. This application does not limit the specific form and type of the electronic device 100 and the electronic scale 200.

[0097] Understandable, Figure 1B The illustrated embodiment is merely an example. In the embodiments of this application, the measurement system 10 may also include more or different electronic devices than the above embodiments, such as more electronic scales to facilitate different electronic scales to measure the user's BCG signal and / or IPG signal at different time periods, or more wearable devices, etc. This application does not limit it.

[0098] Figure 1C A schematic diagram of the system architecture of a measurement system 20 provided in an embodiment of this application is shown.

[0099] like Figure 1C As shown, the measurement system 20 may include an electronic device 100, an electronic scale 200, and an electronic device 300.

[0100] In the measurement system 20, the electronic device 100 can acquire PPG signals before and after the user's exercise. Optionally, the electronic device 100 can also acquire IPG and / or ECG signals before and after the user's exercise. The electronic scale 200 can acquire BCG and / or IPG signals before and after the user's exercise.

[0101] In some embodiments, the electronic device 300 may establish communication connections with both the electronic device 100 and the electronic scale 200. These communication connections may be wired or wireless; the relevant technologies for wireless communication connections can be found described above. Figure 1B The relevant descriptions in the illustrated embodiments will not be repeated here. When electronic device 300 establishes a communication connection with electronic device 100 and electronic scale 200, electronic device 300 can receive PPG signals sent by electronic device 100. Optionally, it can also receive ECG and / or IPG signals sent by electronic device 100. Furthermore, electronic device 300 can also receive IPG and / or BCG signals sent by electronic scale 200. Electronic device 300 can determine the user's physiological signals before and after exercise based on the signals sent by electronic device 100 and electronic scale 200, and determine and output evaluation results based on these physiological signals. The evaluation results are used to indicate the user's cardiac function and / or exercise function. Specific descriptions of the evaluation results and physiological signals can also be found above. Figure 1BThe relevant descriptions in the illustrated embodiments will not be repeated here.

[0102] In some embodiments, the electronic device 100 may establish a communication connection with the electronic scale 200, and the relevant description of the communication connection between the electronic device 100 and the electronic scale 200 can also be referred to the above. Figure 1B The relevant descriptions in the illustrated embodiments will not be repeated here. At this time, the electronic device 100 can also receive the IPG signal and / or BCG signal sent by the electronic scale 200. In some embodiments, the electronic device 100 can determine the user's physiological signals before and after exercise based on its own collected signals (e.g., PPG signal) and the signals sent by the electronic scale 200 (e.g., BCG signal and / or IPG signal, etc.), and send the physiological signals before and after exercise to the electronic device 300, which determines and outputs the evaluation result based on the physiological signals before and after exercise. In other embodiments, after determining the user's physiological signals before and after exercise, the electronic device 100 can determine the evaluation result based on the physiological signals before and after exercise and send the evaluation result to the electronic device 300, which outputs the evaluation result. In other embodiments, after determining the user's physiological signals before and after exercise, the electronic device 100 can also determine the physiological parameters (e.g., heart rate, stroke volume, etc.) before and after exercise based on the physiological signals before and after exercise, and send the physiological parameters before and after exercise to the electronic device 300, which generates and outputs the evaluation result based on the physiological parameters before and after exercise.

[0103] exist Figure 1C The device form and type of electronic device 100 in the measurement system 20 shown can be referred to the above. Figure 1A According to the relevant description in the illustrated embodiment, the electronic scale 200 can be as follows: Figure 1C The body fat scale shown can also be an electronic scale with a pressure sensor; the electronic device 300 can be... Figure 1C The smartphone shown can also be a tablet computer or other electronic device. This application does not limit the specific device form or type of electronic device 100, electronic scale 200 and electronic device 300.

[0104] Understandable, Figure 1C The illustrated embodiment is merely an example. In the embodiments of this application, the measurement system 20 may also include more or different electronic devices than those in the above embodiments, such as more electronic scales, more smartphones, or more wearable devices, etc. This application does not limit the scope of the invention.

[0105] The hardware structure of the electronic device 100 provided in the embodiments of this application is described below.

[0106] Figure 1DThis illustration shows a schematic diagram of the hardware structure of an electronic device 100 provided in an embodiment of this application.

[0107] The electronic device 100 can be a wearable device (also called a wearable device or wearable device) such as a watch, bracelet, smart ring, or smart armband, or it can be other types of electronic devices such as a smartphone or tablet. This application embodiment does not impose any special restrictions on the specific type of the electronic device.

[0108] 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 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, etc.

[0109] The sensor module 180 may include an accelerometer 180A and a touch sensor 180K. Optionally, the sensor module 180 may also include one or more of the following sensors: bioimpedance (IPG) sensor 180B, gyroscope sensor, barometric pressure sensor, magnetic sensor, distance sensor, proximity sensor, fingerprint sensor, temperature sensor, ambient light sensor, etc.

[0110] 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.

[0111] Processor 110 may include one or more processing units, such as application processors (APs), modem processors, graphics processing units (GPUs), image signal processors (ISPs), controllers, video codecs, digital signal processors (DSPs), baseband processors, and / or neural network processing units (NPUs). These different processing units may be independent devices or integrated into one or more processors.

[0112] The controller can generate operation control signals based on the instruction opcode and timing signals to complete the control of instruction fetching and execution.

[0113] 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.

[0114] 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.

[0115] 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.

[0116] 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.

[0117] 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.

[0118] 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 intrabody communication scheme, both electronic devices have at least one electrode that contacts the skin, and the two electronic devices send and receive information through the human body via this skin-contact electrode. The wireless communication module 160 can be one or more devices integrating at least one communication processing module.

[0119] 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).

[0120] 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.

[0121] 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.

[0122] 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.

[0123] 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.

[0124] 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 through the audio module 170 and an application processor, such as music playback and recording. 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.

[0125] Accelerometer 180A can detect the magnitude of acceleration of electronic device 100 in various directions (generally three axes). When electronic device 100 is stationary, it can detect the magnitude and direction of gravity.

[0126] 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.

[0127] Optionally, the electronic device 100 may also include one or more of the following sensors: IPG sensor 180B, gyroscope sensor, temperature sensor, magnetic sensor, and barometric pressure sensor.

[0128] In some embodiments, the IPG sensor 180B can measure changes in body impedance caused by the heart's pumping action by sending a weak, high-frequency current to the body, i.e., it can acquire IPG signals. In some embodiments, the electronic device 100 can acquire IPG signals from the user before exercise via the IPG sensor 180B, or it can acquire IPG signals from the user after exercise via the IPG sensor 180B. The IPG signal can be used to determine the user's stroke volume.

[0129] 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 180B.

[0130] 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.

[0131] Magnetic sensors can be used to detect ambient magnetic fields. In some embodiments, a magnetic sensor may include a Hall effect sensor.

[0132] A barometric pressure sensor can be used to detect the air pressure in a user's environment. In some embodiments, the electronic device 100 can determine the user's altitude based on the air pressure in the user's environment.

[0133] 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.

[0134] 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.

[0135] Indicator 192 can be an indicator light, used to indicate charging status, power changes, or to indicate messages, missed calls, notifications, etc.

[0136] PPG module 195 may include a transmitter and a receiver. The transmitter can be used to emit infrared or green light, and the receiver can be used to receive infrared or green light reflected from biological tissues (such as skin, blood, etc.). The PPG module can measure PPG signals, which can be used to measure the user's physiological parameters, such as heart rate, blood oxygen saturation, blood pressure, etc. In some embodiments, PPG signals can also be used to assess cardiac function and / or exercise function.

[0137] The ECG module can acquire electrocardiogram (ECG) signals. In some embodiments, ECG signals can also be used to assess cardiac function and / or motor function.

[0138] It is understandable that the hardware structure of electronic device 300 can be compared with the above. Figure 1D The hardware structure of the electronic device 100 in the illustrated embodiment differs in that the electronic device 300 may not include modules for measuring physiological signals related to cardiac function, such as PPG, ECG, and IPG modules. Furthermore, the electronic device 300 may also include modules beyond those described above. Figure 1D The embodiments shown may contain more or fewer devices than those described above, and this application is not limited thereto.

[0139] Figure 1E A schematic diagram of the hardware structure of an electronic scale 200 provided in an embodiment of this application is shown.

[0140] like Figure 1E As shown, the electronic scale 200 includes a processor 201, a memory 202, a sensor 203, a wireless communication module 204, and a power supply module 205, etc.

[0141] It is understood that the structure illustrated in the embodiments of this application does not constitute a specific limitation on the electronic scale 200. In other embodiments of this application, the electronic scale 200 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.

[0142] Processor 201 may include one or more processing units, such as modem processors, digital signal processors, controllers, baseband processors, and / or neural network processors. These different processing units may be independent devices or integrated into one or more processors. Processor 201 may also be referred to as a microcontroller unit (MCU).

[0143] The controller can generate operation control signals based on the instruction opcode and timing signals to complete the control of instruction fetching and execution.

[0144] The processor 201 may also include a memory for storing instructions and data. In some embodiments, the memory in the processor 201 is a cache memory. This memory can store instructions or data that the processor 201 has just used or that are used repeatedly. If the processor 201 needs to use the instruction or data again, it can directly retrieve it from the memory. This avoids repeated accesses, reduces the waiting time of the processor 201, and thus improves the efficiency of the system.

[0145] The wireless communication module 204 can provide wireless communication solutions for use on the electronic scale 200, including wireless local area networks (WLAN) (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 intrabody communication scheme, both devices have at least one electrode in contact with the skin. Through these skin-contact electrodes, the two electronic devices send and receive information via the human body. The wireless communication module 204 can be one or more devices integrating at least one communication processing module. The wireless communication module 204 receives electromagnetic waves via an antenna, performs frequency modulation and filtering of the electromagnetic wave signals, and sends the processed signal to the processor 201. The wireless communication module 204 can also receive the signal to be transmitted from the processor 201, frequency modulate it, amplify it, and convert it into electromagnetic waves for radiation via the antenna.

[0146] The memory 202 may include one or more random access memories and one or more non-volatile memories.

[0147] Non-volatile memory can include disk storage devices and flash memory.

[0148] The random access memory can be directly read and written by the processor 201. It can be used to store executable programs (such as machine instructions) of the operating system or other running programs, as well as user and application data.

[0149] Non-volatile memory can also store executable programs and user and application data, and can be pre-loaded into random access memory for direct reading and writing by the processor 201.

[0150] Sensor 203 may include a BCG sensor 2031 and / or an IPG sensor 2032. In some embodiments, sensor 203 may also include a pressure sensor 2033. The BCG sensor 2031 measures the BCG signal; the IPG sensor 2032 measures the IPG signal. The pressure sensor 2033 measures the user's weight. It should be noted that the BCG signal is related to the user's weight, and the user needs to stand on the electronic scale 200 when measuring the BCG signal. The IPG sensor 2032 may include electrodes, and the user's skin needs to contact the electrodes of the IPG sensor 2032 when measuring the IPG signal.

[0151] In some embodiments, the electronic scale 200 can transmit the collected physiological signals (e.g., BCG signals and / or IPG signals) to other devices, such as electronic device 100 or electronic device 300, via wireless communication module 204.

[0152] The memory 202 can be used to store physiological signals collected by the electronic scale 200.

[0153] The power module 205 may optionally include a battery 2051 and a power management module 2052, and may also include a charging management module 2053, etc.

[0154] The charging management module 2053 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 2053 can receive charging input from a wired charger. In some wireless charging embodiments, the charging management module 2053 can receive wireless charging input through the wireless charging coil of the electronic device 100. While charging the battery 2051, the charging management module 2053 can also supply power to the electronic device through the power management module 2052.

[0155] The power management module 2052 connects the battery 2051, the charging management module 2053, and the processor 110. The power management module 2052 receives input from the battery 2051 and / or the charging management module 2053, supplying power to the processor 201, memory 202, wireless communication module 204, etc. The power management module 2052 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 2052 may also be located within the processor 201. In other embodiments, the power management module 2052 and the charging management module 2053 may be housed in the same device.

[0156] It should be understood that Figure 1EThe hardware structure of the electronic scale 200 is only shown as an example. In other embodiments of this application, the electronic scale 200 may contain more or fewer components, and this application does not limit this.

[0157] This application provides a measurement method in which, before a user exercises, an electronic device 100 acquires the user's physiological signal 1 at rest. The physiological signal may include a PPG signal, and optionally, may also include one or more of the following: BCG signal, IPG signal, and ECG signal. Based on the physiological signal 1, the electronic device 100 determines physiological parameters 1 at rest, which may include heart rate and stroke volume, and optionally, cardiac output. After the user finishes exercising, the electronic device 100 also acquires the user's post-exercise physiological signal 2 and determines post-exercise physiological parameters 2 based on the physiological signal 2. Based on physiological parameters 1 and 2, the electronic device 100 determines and outputs an evaluation result, which is used to indicate the user's cardiac function and / or exercise function.

[0158] In this way, the assessment results can be determined based on one or more physiological signals before and after exercise, making it easier for users to understand their own cardiac function in a timely manner, and making it more convenient and faster to use.

[0159] The following describes the specific process of a measurement method provided in an embodiment of this application.

[0160] Figure 2 A flowchart illustrating a measurement method provided in an embodiment of this application is shown.

[0161] like Figure 2 As shown, the specific process of the electronic device 100 performing the measurement method may include the following steps:

[0162] S201. Electronic device 100 receives user operation 1.

[0163] Step S201 is an optional step.

[0164] Operation 1 is used to trigger electronic device 100 to start exercise and cardiac function assessment.

[0165] In some embodiments, operation 1 may be the user initiating exercise and cardiac function assessment. In other embodiments, operation 1 may also be the user initiating exercise mode, etc., which are not limited herein.

[0166] S202. Electronic device 100 measures the user's PPG signal before exercise.

[0167] In some embodiments, the electronic device 100 may, in response to a user's operation 1, measure the user's PPG signal before exercise.

[0168] In other embodiments, upon receiving user operation 1, electronic device 100 may output measurement prompt 1, which prompts the user to measure the PPG signal before exercise. After outputting measurement prompt 1, electronic device 100 may receive and respond to the user's operation to measure the PPG signal before exercise.

[0169] It should be noted that the electronic device 100 measures the user's PPG signal before movement in order to obtain the user's PPG signal in a resting state. Therefore, optionally, the electronic device 100 can also measure the user's PPG signal before movement when it detects that the user is stationary in response to the user's operation 1. The electronic device 100 can determine whether the user is stationary based on an accelerometer.

[0170] In other embodiments, the electronic device 100 may also measure the user's PPG signal before exercise when the user is detected to be in a resting state. Optionally, when the user is in a resting state, the electronic device 100 may periodically (e.g., at 30-minute, 10-minute, or 5-minute intervals) measure the user's PPG signal before exercise.

[0171] Electronic device 100 can be connected via PPG module (e.g., the one mentioned above) Figure 1D The PPG module 195 shown measures the user's PPG signal before movement.

[0172] S203. Electronic device 100 determines physiological parameter 1 based on pre-exercise PPG signal, physiological parameter 1 including heart rate and stroke volume.

[0173] It should be noted that the execution order of step S203 is: after step S202 and before step S210. In one possible implementation, step S203 can be executed immediately after step S202; in another possible implementation, step S203 can also be executed simultaneously with step S209, etc. This application does not limit the execution order of step S203 and subsequent steps S204 to S209.

[0174] In some embodiments, in addition to heart rate and stroke volume, physiological parameter 1 may also include any one or more of the following: cardiac output, blood oxygen saturation, etc.

[0175] In one possible implementation, the electronic device 100 may store a PPG processing model, which can determine the user's physiological parameters 1 during the PPG signal acquisition period based on the PPG signal.

[0176] For example, Figure 3AThis illustration shows a schematic diagram of a PPG processing model stored in an electronic device 100 according to an embodiment of this application.

[0177] like Figure 3A As shown, the input to the PPG processing model can be a PPG signal, and the output can include heart rate, stroke volume, and cardiac output.

[0178] Understandable, Figure 3A The embodiments shown are merely examples. In the embodiments of this application, the PPG processing model stored in the electronic device 100 may also include more, fewer, or different outputs than those in the above embodiments. This application does not limit the scope of the embodiments.

[0179] After the electronic device 100 obtains the user's PPG signal before exercise through the PPG module, it can use the pre-exercise PPG signal as input to the PPG processing model to obtain the user's physiological parameters 1 (such as heart rate, stroke volume, cardiac output, etc.) in the resting state.

[0180] In another possible implementation, the electronic device 100 may also measure IPG and / or ECG signals and determine physiological parameters 1 based on the pre-exercise PPG signal, as well as the IPG and / or ECG signals.

[0181] The following example, using electronic device 100 to determine physiological parameter 1 based on pre-exercise PPG and IPG signals, illustrates the method for determining physiological parameter 1.

[0182] For example, such as Figure 3B As shown, another specific procedure for determining physiological parameters 1 based on pre-exercise PPG signals may include the following steps:

[0183] S301. Electronic device 100 measures the user's IPG signal before exercise using an IPG sensor.

[0184] In some embodiments, the electronic device 100 can utilize an IPG sensor (e.g., as described above). Figure 1D The IPG sensor 180B shown measures the user's IPG signal before exercise.

[0185] It should be noted that the IPG sensor may include electrodes, and the electrodes of the IPG sensor may be disposed on the surface of the electronic device 100, for example, the electrodes may be disposed on the crown of the electronic device 100. When the electronic device 100 needs to measure the IPG signal through the IPG sensor, optionally, the electronic device 100 may prompt the user to touch the electrodes with their finger to complete the IPG signal measurement. In some embodiments, the electrodes may also be disposed on the lower surface of the body of the electronic device 100 so that the user's skin contacts the electrodes when the user wears the electronic device 100. In this way, the electronic device 100 can measure the user's IPG signal as long as the user wears the electronic device 100.

[0186] S302. Electronic device 100 determines physiological parameters 1 based on pre-exercise PPG and IPG signals.

[0187] In one possible implementation, the electronic device 100 may store a PPG processing model and an IPG processing model. A detailed functional description of the PPG processing model can be found above. Figure 3A The relevant descriptions in the illustrated embodiments. The IPG processing model can be used to process IPG signals, that is, to determine one or more physiological parameters in physiological parameter 1 based on the IPG signals.

[0188] For example, Figure 3C A schematic diagram of an IPG processing model provided in an embodiment of this application is shown.

[0189] like Figure 3C As shown, the input to the IPG processing model can be an IPG signal, and the output can include the stroke volume.

[0190] Understandable, Figure 3C The embodiments shown are merely examples. In the embodiments of this application, the IPG processing model stored in the electronic device 100 may also include more, fewer, or different outputs than those in the above embodiments. This application does not limit the scope of the embodiments.

[0191] After acquiring the PPG and IPG signals before exercise, the electronic device 100 can determine the resting heart rate, stroke volume, and cardiac output based on the PPG processing model, and determine the resting stroke volume based on the IPG processing model. Then, the electronic device 100 can combine the outputs of the PPG and IPG processing models to determine physiological parameter 1. For example, the average of the stroke volume outputs from the IPG and PPG processing models can be used as the value of stroke volume in physiological parameter 1; the cardiac output can be determined based on the heart rate output from the PPG processing model and the stroke volume in physiological parameter 1, and this value can be used as the cardiac output in physiological parameter 1, and so on.

[0192] It is understood that the embodiments described herein are merely illustrative. PPG and IPG signals can be processed by different models to determine one or more physiological parameters. Then, the electronic device 100 can combine the outputs of different processing models to determine physiological parameter 1. In the embodiments of this application, the outputs of the PPG processing model and the IPG processing model may include more, less, or different content than those in the above embodiments. The method of determining physiological parameter 1 based on the outputs of two different processing models may also differ from the above embodiments, and this application does not limit these aspects.

[0193] In another possible implementation, the electronic device 100 may store a fusion model that can simultaneously process multiple physiological signals and output physiological parameters. In some embodiments, the fusion model may be a neural network model.

[0194] For example, Figure 3D A schematic diagram of a fusion model 1 provided in an embodiment of this application is shown.

[0195] like Figure 3D As shown, the input of fusion model 1 can include PPG signal and IPG signal, and the output can include heart rate, stroke volume and cardiac output.

[0196] Understandable, Figure 3D The illustrated embodiment is merely an example. In this application embodiment, the fusion model stored by the electronic device 100 may also include more, fewer, or more components than those in the above embodiment. Figure 3D The different inputs and / or outputs of the embodiments shown are not limited herein.

[0197] After the electronic device 100 acquires the PPG and IPG signals before exercise, the electronic device 100 can use the PPG and IPG signals before exercise as inputs to the fusion model 1 to obtain physiological parameters 1.

[0198] It should be noted that, Figure 3BThis explanation focuses on determining physiological parameter 1 using pre-exercise PPG and IPG signals as an example. In some embodiments of this application, the electronic device 100 can also measure the user's resting ECG signal using an ECG module and determine physiological parameter 1 based on the pre-exercise PPG and ECG signals, or based on the pre-exercise PPG, ECG, and IPG signals. In this case, the electronic device 100 can store an ECG processing model for processing ECG signals, or a fusion model capable of simultaneously processing PPG and ECG signals, or a fusion model capable of simultaneously processing PPG, ECG, and IPG signals, and determine physiological parameter 1 using the stored ECG processing model or fusion model. The specific functions of the ECG processing model and fusion model, as well as the method for determining physiological parameter 1, can be compared with the above. Figures 3C-3D The relevant descriptions in the illustrated embodiments will not be repeated here.

[0199] S204. Electronic device 100 determines whether a user has cardiac function risks based on pre-exercise PPG signals.

[0200] Steps S204 to S205 are optional steps. In some embodiments, after performing step S202 (or step S203), the electronic device 100 may also directly perform the following step S206.

[0201] Electronic device 100 can determine whether a user has cardiac function risk (also known as heart failure risk) based on pre-exercise PPG signals.

[0202] In some embodiments, the electronic device 100 may store normal PPG signals. After measuring the PPG signal before exercise, the electronic device 100 may calculate the similarity between the pre-exercise PPG signal and the pre-stored normal PPG signal. If the similarity is greater than or equal to a preset similarity threshold, it can be determined that the user does not have cardiac function risk; if the similarity is less than the preset similarity threshold, it can be determined that the user has cardiac function risk. The similarity between the pre-exercise PPG signal and the pre-stored normal PPG signal can refer to any one of the following: Euclidean distance, Manhattan distance, Chebyshev distance, Pearson correlation coefficient, or cross-correlation function between the two signals.

[0203] In other embodiments, the electronic device 100 may store multiple signal features of a normal PPG signal. For example, the signal features of the PPG signal may include, but are not limited to, any one or more of the following: waveform, period, frequency, peak value, trough value, number of peaks within a fixed time period, number of troughs within a fixed time period, first derivative, second derivative, etc. After measuring the PPG signal before exercise, the electronic device 100 can determine the number of identical signal features between the pre-exercise PPG signal and a preset normal PPG signal. If the number of identical signal features is greater than or equal to a preset threshold, it can be determined that the user does not have a cardiac function risk; if the number of identical signal features is less than the preset threshold, it can be determined that the user has a cardiac function risk. Here, identical signal features can mean that the difference in signal features falls within a preset error range. For example, taking the number of peaks within a fixed time period as an example, if the difference between the number of peaks in the pre-exercise PPG signal within 1 second and the preset normal PPG signal within 1 second is less than 3, then the signal feature of the number of peaks in the pre-exercise PPG signal and the preset normal PPG signal within a fixed time period is considered identical. It is understood that the embodiments described herein are merely examples. In the embodiments of this application, the signal features may include more, fewer, or different signal features than those described above, and the error ranges of different signal features may also be different. This application does not limit these features.

[0204] 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 a user has a risk of heart function. This application does not limit this.

[0205] If the electronic device 100 determines that the user has a risk to cardiac function, the electronic device 100 may perform the following step S205.

[0206] If the electronic device 100 determines that the user does not have a risk to cardiac function, the electronic device 100 may perform the following step S206.

[0207] S205. Electronic device 100 outputs a risk warning, which is used to alert the user to the presence of cardiac function risks and to advise the user to stop exercising.

[0208] The electronic device 100 may output risk warnings through one or more methods such as display screen, voice broadcast, vibration, and indicator light flashing.

[0209] In some embodiments, the risk warning may include the user's cardiac function risk level. The risk level may include low risk and high risk, and optionally, medium risk, etc. For example, the risk level may be determined based on the similarity between the resting PPG signal and a pre-stored normal PPG signal; the lower the similarity, the higher the risk level. Alternatively, the risk level may be determined based on the number of identical signal features between the pre-exercise PPG signal and a preset normal PPG signal; the fewer identical signal features, the higher the risk level. The specific content of the output risk warning may differ depending on the risk level. For example, when the risk level is low, the risk warning may advise the user not to exercise; when the risk level is medium, it may advise the user to seek medical attention as soon as possible; when the risk level is high, it may prompt the user to call emergency services, or trigger the electronic device 100 to call emergency services or emergency contact numbers, etc.

[0210] In this way, in cases where there is a risk to heart function, the electronic device 100 can promptly remind the user not to exercise, thus improving the user's safety.

[0211] S206. Electronic device 100 detects that the user has started exercising and outputs an exercise prompt, which is used to prompt the user to start exercising.

[0212] In some embodiments, the electronic device 100 may determine whether the user has started exercising by using one or more devices such as an accelerometer, a gyroscope, or a satellite positioning device.

[0213] In other embodiments, the electronic device 100 may determine that the user has started exercising based on the user's operation (e.g., the user's operation to start a movement state, the user's operation to select a movement type, or the user's operation to complete the measurement of PPG signals before exercising).

[0214] S207. Electronic device 100 detects that the user has ended the exercise state.

[0215] In some embodiments, the electronic device 100 may determine whether the user has ended the exercise by any one or more devices such as an accelerometer, a gyroscope, or a satellite positioning device.

[0216] In other embodiments, the electronic device 100 may determine that the user has ended the movement based on the user's operation (such as the user ending the movement state).

[0217] S208. Electronic device 100 measures the PPG signal after a user's movement.

[0218] In some embodiments, when the user's exercise state is detected to have ended, the electronic device 100 may output a measurement prompt 2, which prompts the user to measure the PPG signal after exercise. After outputting the measurement prompt 2, the electronic device 100 may receive and respond to the user's operation to measure the PPG signal after exercise.

[0219] In other embodiments, the electronic device 100 may measure the user's PPG signal after exercise in response to detecting that the user has ended their exercise state. In other embodiments, the electronic device 100 may also measure the user's PPG signal after exercise within a preset time (e.g., 2 minutes or 3 minutes) after detecting that the user has ended their exercise state.

[0220] In other embodiments, the electronic device 100 may also measure the ECG and / or IPG signals after the user has finished exercising.

[0221] S209. Electronic device 100 determines physiological parameters 2 based on PPG signals after exercise.

[0222] In other embodiments, the electronic device 100 may also determine physiological parameters 2 based on post-exercise PPG signals, as well as IPG and / or ECG signals.

[0223] Physiological parameter 2 may include heart rate and stroke volume, and optionally may also include cardiac output, blood pressure saturation, etc.

[0224] The specific method by which electronic device 100 determines physiological parameter 2 based on the PPG signal after exercise can be referred to the relevant description of physiological parameter 1 in step S203 above, and will not be repeated here.

[0225] S210. Electronic device 100 determines the assessment results based on physiological parameter 1 and physiological parameter 2, and the assessment results are used to indicate the user's cardiac function and / or motor function.

[0226] In some embodiments, the assessment results may include cardiac function assessment and / or exercise function assessment. Cardiac function assessment may include the heart's pumping capacity. Exercise function may include exercise capacity and / or exercise endurance; exercise capacity can be used to indicate the strength of a user's physical function, and exercise endurance can be used to indicate the user's ability to maintain stable physical function during exercise.

[0227] In one possible implementation, cardiac function assessment and / or exercise function assessment can be expressed numerically. For example, an integer within the closed interval [0, 10] can represent the user's cardiac pumping capacity, exercise capacity, and exercise endurance, etc. The larger the numerical value, the stronger the corresponding function. It is understood that the embodiments described here are merely illustrative of how a user's cardiac and exercise functions can be represented numerically. In this application, different value ranges (e.g., 0-100, or 0-20, etc.) can also be used to represent the user's cardiac and / or exercise functions, and this application does not limit this.

[0228] In another possible implementation, cardiac function assessment and / or exercise function assessment can also be divided into different levels to represent the strength of the user's cardiac function and / or exercise function. For example, cardiac pumping capacity can include three levels: strong, normal, and weak, indicating the relationship between the user's cardiac pumping capacity and that of a normal cardiac pumping capacity. Similarly, exercise capacity can include three levels: strong, normal, and weak, indicating the relationship between the user's exercise capacity and that of a normal person. Exercise endurance can also include three levels: strong, normal, and weak, indicating the relationship between the user's exercise endurance and that of a normal adult. It is understood that the embodiments described here are merely examples. In the embodiments of this application, cardiac function assessment and / or exercise function assessment may also include more, fewer, or different level divisions than those described in the above embodiments, and this application does not limit the scope of the embodiments.

[0229] In other embodiments, the assessment results may also include cardiac function recommendations and / or exercise recommendations. Wherein:

[0230] Cardiac function recommendations can be suggestions related to a user's cardiac function determined based on a cardiac function assessment. The recommendations can also differ depending on the cardiac function assessment. For example, if the cardiac function assessment value is less than 4 (or the assessment is weak), the recommendation might be to advise the user to seek medical attention as soon as possible; if the assessment value is greater than or equal to 4 and less than 7 (or the assessment is normal), the recommendation might be to advise the user to maintain good sleep habits; if the assessment value is greater than or equal to 7 (or the assessment is strong), the recommendation might be to advise the user to exercise regularly. It is understood that the embodiments described here are merely illustrative, and the recommendations can differ depending on the cardiac function assessment. In this application's embodiments, the assessment results may include more, fewer, or different cardiac function recommendations than those in the above embodiments, and this application does not impose any limitations on this.

[0231] Exercise function recommendations can be suggestions related to a user's exercise function based on an exercise function assessment. The recommendations can also differ depending on the exercise function assessment. For example, if the exercise function assessment value is less than 4 (or the assessment is weak), the recommendation might be to encourage the user to engage in more low-intensity exercise (such as walking, jogging, yoga, etc.); if the assessment value is greater than or equal to 4 and less than 7 (or the assessment is normal), the recommendation might be to encourage the user to appropriately increase the intensity of their exercise (such as cycling, running, hiking, etc.); if the assessment value is greater than or equal to 7 (or the assessment is strong), the recommendation might be to encourage the user to maintain their current exercise habits. It is understood that the embodiments described here are merely illustrative, and the recommendations can differ depending on the exercise function assessment. In this application, the assessment results may include more, fewer, or different exercise function recommendations than those in the above embodiments, and this application does not impose any limitations on these recommendations.

[0232] It is understood that the above embodiments are merely illustrative of the composition of the evaluation results. In the embodiments of this application, the evaluation results determined based on the physiological parameters 1 before exercise and the physiological parameters 2 after exercise may also include more, less, or different content than the above embodiments. This application does not limit this.

[0233] The following describes the specific method for determining the evaluation results based on pre-exercise physiological parameters 1 and post-exercise physiological parameters 2.

[0234] In one possible implementation, the electronic device 100 may store an exercise and cardiac function assessment model. This model can generate assessment results based on physiological parameters (e.g., physiological parameter 1 and physiological parameter 2) before and after exercise. In some embodiments, the exercise and cardiac function assessment model may be a tree model.

[0235] For example, Figure 4A A schematic diagram of an exercise and cardiac function assessment model 1 provided in an embodiment of this application is shown.

[0236] like Figure 4A As shown, the inputs to the exercise and cardiac function assessment model 1 may include physiological parameter 1 and physiological parameter 2, and the outputs may include exercise capacity, exercise endurance, and cardiac pumping capacity.

[0237] Understandable, Figure 4A The illustrated embodiment is merely an example. In this application embodiment, the electronic device 100 may also store data related to... Figure 4AThe embodiments shown may include different exercise and cardiac function assessment models, which may include more, fewer, or different inputs and / or outputs than the exercise and cardiac function assessment model 1 described above. This application does not limit these inputs and outputs.

[0238] After obtaining physiological parameters 1 and 2 based on the above steps S203 and S209, the electronic device 100 can use physiological parameters 1 and 2 as inputs to the exercise and cardiac function assessment model 1 to obtain assessment results (such as cardiac pumping capacity, exercise capacity, and exercise endurance).

[0239] In another possible implementation, the electronic device 100 can also collect one or more physiological signals (such as PPG signals during exercise) during the user's movement, and determine physiological parameter 3 based on the physiological signals during the user's movement. Then, the electronic device 100 can combine physiological parameter 1, physiological parameter 2 and physiological parameter 3 to determine the evaluation result.

[0240] For example, Figure 4B This illustration shows a flowchart of an embodiment of the present application for determining evaluation results based on physiological parameters before and after exercise and physiological parameters during exercise.

[0241] like Figure 4B As shown, another specific procedure for determining the assessment result based on physiological parameter 1 and physiological parameter 2 may include the following steps:

[0242] S401. Electronic device 100 acquires PPG signals during the user's movement.

[0243] It should be noted that step S401 should be executed after step S206 and before step S207.

[0244] In some embodiments, after detecting that the user has started moving, the electronic device 100 can collect the user's PPG signal during the movement process via a PPG module. In one possible implementation, the electronic device 100 can collect the user's PPG signal throughout the entire movement process after the user starts moving. In another possible implementation, the electronic device 100 can collect the PPG signal for a period of time (e.g., 1 minute, 5 minutes, etc.) during the movement process after the user starts moving. In yet another possible implementation, the electronic device 100 can also collect the PPG signal for a period of time (e.g., 1 minute or 5 minutes) at fixed time intervals (e.g., 3 minutes, 5 minutes, or 10 minutes, etc.) throughout the user's entire movement process.

[0245] S402. Electronic device 100 determines physiological parameters 3 based on PPG signals during exercise.

[0246] The specific method by which electronic device 100 determines physiological parameter 3 based on PPG signals during exercise can be referred to the above. Figure 2 The method for determining physiological parameter 1 in step S203 is shown.

[0247] Physiological parameter 3 may include any one or more of the following: heart rate, stroke volume, cardiac output, blood oxygen saturation, oxygen uptake, calorie consumption, etc.

[0248] S403. Electronic device 100 determines the evaluation result based on physiological parameter 1, physiological parameter 2 and physiological parameter 3.

[0249] In some embodiments, electronic device 100 may store an exercise and cardiac function assessment model 2 capable of determining assessment results based on physiological parameters before, during and after exercise.

[0250] For example, Figure 4C This illustration shows a schematic diagram of a motion and cardiac function assessment model 2 stored in an electronic device 100 according to an embodiment of this application.

[0251] like Figure 4C As shown, the inputs of the exercise and cardiac function assessment model 2 may include physiological parameters 1 before exercise, physiological parameters 2 after exercise, and physiological parameters 3 during exercise. The outputs may include cardiac pumping function, exercise capacity, and exercise endurance.

[0252] Understandable, Figure 4C The illustrated embodiment is merely an example. In the embodiments of this application, the exercise and cardiac function assessment model 2 may include models that are more advanced than those described above. Figure 4C The embodiments shown have more, fewer, or more Figure 4C The different inputs and / or outputs of the embodiments shown are not limited herein.

[0253] After the electronic device 100 obtains physiological parameter 1 and physiological parameter 2 based on the above steps S203 and S209, and obtains physiological parameter 3 based on the above step S402, the electronic device 100 can use physiological parameter 1, physiological parameter 2 and physiological parameter 3 as inputs to the exercise and cardiac function assessment model 2 to obtain assessment results (such as cardiac pumping capacity, exercise capacity and exercise endurance, etc.).

[0254] S211. Evaluation results of electronic device 100 output.

[0255] The electronic device 100 can output the evaluation results using one or more methods such as display screen, voice broadcast, vibration, and indicator light flashing.

[0256] The interface for outputting evaluation results from electronic device 100 can also be referenced below. Figure 8I The relevant interfaces in the illustrated embodiments will not be described in detail here.

[0257] Using the measurement method provided in this application, the electronic device 100 can collect the user's physiological signals and perform exercise and cardiac function assessments based on the collected physiological signals, outputting the assessment results. This allows the user to understand their exercise and cardiac function status in a timely manner and take appropriate measures. Furthermore, it can promptly remind the user to stop exercising or prompt the user to seek medical attention when a cardiac function risk is detected, thus improving user safety.

[0258] In some application scenarios, electronic device 100 can also determine whether a communication connection has been established with electronic device 200 or other electronic devices. When a communication connection is established with electronic device 200, electronic device 100 can receive one or more signals collected by electronic device 200, such as IPG signals and / or BCG signals. In this case, electronic device 100 can determine and output the evaluation result based on the signals it collects (e.g., PPG signals) and the signals sent by electronic device 200. This allows for evaluation by combining the IPG and / or BCG signals collected by electronic device 200, improving the accuracy of the evaluation results.

[0259] Figure 5 A flowchart illustrating another measurement method provided in an embodiment of this application is shown.

[0260] like Figure 5 As shown, a specific procedure for a measurement method may include the following steps:

[0261] S501. Electronic device 100 receives user operation 2.

[0262] The functional description of Operation 2 can be found above. Figure 2 The relevant description of operation 1 in step S201 shown will not be repeated here.

[0263] S502. Electronic device 100 determines whether an electronic scale is connected.

[0264] In some embodiments, in response to user operation 2, electronic device 100 can determine whether any electronic scale is connected.

[0265] If the electronic device 100 detects that it is connected to the electronic scale 200, the electronic device 100 can perform the following step S504.

[0266] If the electronic device 100 detects that it is not connected to any electronic scale, the electronic device 100 may perform the following step S503.

[0267] In other embodiments, if the electronic device 100 detects that it is not connected to any electronic scale, the electronic device 100 can also obtain a location 1, which indicates the location of the electronic device 100. After obtaining the location 1, the electronic device 100 can determine whether there is an electronic scale nearby based on the location 1. If there is an electronic scale (e.g., electronic scale 200), the electronic device 100 can perform the following step S503; if there is no electronic scale, the electronic device 100 can use the above-described... Figure 2 The measurement methods shown are used to assess exercise and cardiac function.

[0268] In other embodiments, if the electronic device 100 detects that it is not connected to any scale, the electronic device 100 can also search for nearby scales to determine whether a scale can be found in the vicinity of the electronic device 100. If a scale can be found nearby (e.g., scale 200), the electronic device 100 can perform the following step S503; if no scale can be found nearby, the electronic device 100 can use the above-described... Figure 2 The measurement methods shown are used to assess exercise and cardiac function.

[0269] S503. Electronic device 100 establishes a communication connection with electronic scale 200.

[0270] In some embodiments, if the electronic device 100 is detected not to be connected to any electronic scale, the electronic device 100 may search for nearby electronic scales.

[0271] In one possible implementation, after one or more electronic scales are found, the electronic device 100 can display the one or more electronic scales found on the display screen and establish a communication connection with the electronic scale 200 selected by the user based on the user's selection operation.

[0272] In another possible implementation, after one or more electronic scales are found, electronic device 100 can send a connection request to the one or more electronic scales found, and establish a communication connection with electronic scale 200 based on the connection response sent by electronic scale 200, wherein the connection response sent by electronic scale 200 is the earliest connection response received by electronic device 100.

[0273] S504. Output measurement prompt 3, which prompts the user to measure the BCG signal and / or IPG signal before movement on the electronic scale 200.

[0274] It should be noted that step S504 and step S507 below can be executed synchronously, or step S504 can be executed first and then step S507, or step S507 can be executed first and then step S504. The execution order between step S504 and step S507 is not limited in the embodiments of this application.

[0275] In some embodiments, optionally, while outputting measurement prompt 3, or after outputting measurement prompt 3, electronic device 100 may also send measurement request 1 to electronic scale 200. Measurement request 1 is used to request electronic scale 200 to measure the user's BCG signal and / or IPG signal before exercise, and / or can be used to request electronic scale 200 to send the measured BCG signal and / or IPG signal before exercise to electronic device 100.

[0276] S505. Electronic scale 200 acquires BCG and / or IPG signals before exercise.

[0277] The BCG signal is related to the user's weight. When measuring the BCG signal, the user needs to stand on the electronic scale 200.

[0278] In some embodiments, the electronic scale 200 can measure the user's BCG and / or IPG signals before exercise. It should be noted that in some embodiments, the electrodes of the IPG sensor can be disposed on the scale surface of the electronic scale 200. When the user stands on the electronic scale 200, the electrodes can contact the user's skin, and the IPG sensor can measure the IPG signal through the electrodes. In other embodiments, the electronic scale 200 may include a support rod, on which the electrodes of the IPG sensor can be disposed. In this case, when the user stands on the electronic scale 200, the user needs to contact the electrodes on the support rod to complete the IPG signal measurement. In still other embodiments, the electronic scale 200 may include a support rod, on which the electrodes of the IPG sensor can be disposed, and the electrodes of the IPG sensor can also be disposed on the scale surface of the electronic scale 200; thus, the user can complete the IPG signal measurement either by standing on the electronic scale 200 or by contacting the electrodes on the support rod. In other embodiments, the electronic scale 200 may include a support pole; the electrodes of the IPG sensor may be respectively disposed on the support pole and on the scale surface. When a user stands on the electronic scale 200 and the user's hand touches the electrodes on the support pole, the electronic device 200 can measure the user's IPG signal.

[0279] In other embodiments, the electronic scale 200 may receive and respond to a measurement request 1 sent by the electronic device 100 to measure the user's BCG signal and / or IPG signal before exercise.

[0280] It should be noted that the electronic device 100 needs to acquire the BCG and / or IPG signals of the user in a resting state before exercise. Therefore, when the electronic scale 200 detects that the user is standing on the electronic scale 200 and remains stationary, the electronic scale 200 can measure the user's BCG and / or IPG signals before exercise.

[0281] S506. The electronic scale 200 sends a pre-motion BCG signal and / or IPG signal to the electronic device 100.

[0282] In some embodiments, after measuring the BCG signal and / or IPG signal before movement, the electronic scale 200 can send the BCG signal and / or IPG signal before movement to the electronic device 100.

[0283] In other embodiments, after measuring the BCG signal and / or IPG signal before movement, the electronic scale 200 may send the BCG signal and / or IPG signal before movement to the electronic device 100 in response to the measurement request 1 sent by the electronic device 100.

[0284] S507. Electronic device 100 measures PPG signal before motion.

[0285] In some embodiments, the electronic device 100 may also measure ECG and / or IPG signals in a resting state.

[0286] It should be noted that step S507 and the above step S505 can be executed simultaneously, or step S505 can be executed first and then step S507, or step S507 can be executed first and then step S505. This application does not limit the specific execution order between step S507 and steps S504-S506.

[0287] S508. Electronic device 100 determines physiological parameters 1 based on physiological signals 1 before exercise.

[0288] In some embodiments, physiological signal 1 may include a PPG signal, and optionally, may also include any one or more of the following: BCG signal, IPG signal, and ECG signal.

[0289] In some embodiments, after determining physiological parameter 1, the electronic device 100 may also output physiological parameter 1.

[0290] In one possible implementation, the electronic device 100 may store a fusion model that can determine physiological parameters 1 based on physiological signals 1.

[0291] For example, Figure 6A A schematic diagram of a fusion model 2 provided in an embodiment of this application is shown.

[0292] like Figure 6A As shown, the inputs of fusion model 2 can include PPG signals, IPG signals and BCG signals, and the outputs can include heart rate, stroke volume and cardiac output.

[0293] Understandable, Figure 6A The illustrated embodiment is merely an example; in the embodiments of this application, fusion model 2 may also include more than Figure 6A The embodiments shown may include more, fewer, or the same as those described above. Figure 6A The different inputs and / or outputs of the embodiments shown are not limited herein.

[0294] After acquiring physiological parameters 1 (such as PPG signal, IPG signal and BCG signal) in the resting state, the electronic device 100 can use physiological signal 1 as input to fusion model 2 to obtain physiological parameters 1.

[0295] In another possible implementation, the electronic device 100 may also store a PPG processing model and a BCG processing model. The BCG processing model can obtain the cardiac output during the BCG signal acquisition period based on the BCG signal. Optionally, the electronic device 100 may also store an IPG processing model and / or an ECG processing model. The specific contents of the PPG processing model, IPG processing model, and ECG processing model can be found above. Figures 2-3C The relevant descriptions in the illustrated embodiments will not be repeated here.

[0296] For example, Figure 6B A schematic diagram of a BCG processing model provided in an embodiment of this application is shown.

[0297] like Figure 6B As shown, the input to the BCG processing model can be a BCG signal, and the output can include cardiac output.

[0298] Understandable, Figure 6B The illustrated embodiment is merely an example. In the embodiments of this application, the BCG processing model may include more advanced technologies than those described above. Figure 6B The embodiments shown may have more or fewer inputs and / or outputs than those described above, and this application is not limited thereto.

[0299] After receiving the BCG signal at rest from the electronic scale 200, the electronic device 100 can use this BCG signal as input to the BCG processing model to obtain cardiac output. Then, based on the output of the PPG processing model, and combined with the outputs of any one or more of the BCG, IPG, and ECG processing models, the electronic device 100 can determine physiological parameter 1.

[0300] S509. Electronic device 100 determines whether a user has cardiac function risks based on pre-exercise PPG signals.

[0301] Steps S509 and S510 are optional.

[0302] If it is determined that the user has a risk to cardiac function, then perform the following step S510.

[0303] If it is determined that the user does not have any risk to cardiac function, then proceed with step S511 below.

[0304] S510. Electronic device 100 outputs a risk warning, which is used to alert the user to the presence of cardiac function risks and to advise the user to stop exercising.

[0305] S511. Electronic device 100 detects that the user has started exercising and outputs an exercise prompt, which is used to prompt the user to start exercising.

[0306] S512. Electronic device 100 detects that the user has ended the exercise state.

[0307] The specific details of steps S509 to S512 can be found above. Figure 2 The relevant descriptions of steps S204 to S207 shown are not repeated here.

[0308] S513. Electronic device 100 outputs measurement prompt 4, which prompts the user to measure the BCG signal and / or IPG signal after exercise on electronic scale 200.

[0309] In some embodiments, the measurement prompt 4 can also be used to prompt the user to measure the BCG signal and / or IPG signal on the electronic scale 200 within a preset time period (e.g., 1 minute, 2 minutes, etc.) after the end of exercise.

[0310] In some embodiments, the electronic device 100 may output a measurement prompt 4 in response to detecting that the user has ended their exercise state.

[0311] In other embodiments, the electronic device 100 may also determine whether it has established a communication connection with any electronic scale in response to detecting that the user has ended their exercise. If the electronic device 100 has established a communication connection with the electronic scale 200, it can output a measurement prompt 4. If the electronic device 100 has not established a communication connection with any electronic scale, it can search for nearby electronic scales and establish a communication connection with one of the found scales (e.g., electronic scale 200 or other scales), and output a measurement prompt 4. It should be noted that if the electronic scale that has established a communication connection with the electronic device 100 is not electronic scale 200, the measurement prompt 4 can also be used to prompt the user to measure the BCG signal and / or IPG signal on that scale. If the electronic device 100 has not established a communication connection with any electronic scale and no nearby electronic scale is found, the electronic device 100 may not execute step S513. In this case, the specific process for the electronic device 100 to collect physiological signals after exercise and determine and output the evaluation results can be referred to the above. Figure 2 The relevant steps in the illustrated embodiment.

[0312] Other specific details of step S513 can be found in the relevant content of step S504 above, and will not be repeated here.

[0313] It should be noted that step S513 and step S516 below can be executed simultaneously, or step S513 can be executed first and then step S516, or step S516 can be executed first and then step S513. This application does not limit the specific execution order of step S516 and step S513-step S516.

[0314] S514. The electronic scale 200 detects that the user is standing on the electronic scale 200 and acquires the BCG signal and / or IPG signal after the movement.

[0315] S515. The electronic scale 200 sends the BCG signal and / or IPG signal after movement to the electronic device 100.

[0316] S516. Electronic device 100 measures PPG signal after motion.

[0317] It should be noted that step S516 and step S514 above can be executed simultaneously, or step S514 can be executed first and then step S516, or step S516 can be executed first and then step S514. This application does not limit the specific execution order of step S516 and steps S513-S515.

[0318] S517. Electronic device 100 determines physiological parameters 2 based on physiological signals 2 after exercise.

[0319] Physiological signal 2 includes PPG signal after exercise, and optionally may also include one or more of the following physiological signals after exercise: BCG signal, IPG signal and ECG signal, etc.

[0320] The specific details of steps S514 to S517 can be found in the relevant content of steps S505 to S508 above, and will not be repeated here.

[0321] S518. Electronic device 100 determines the evaluation result based on physiological parameter 1 and physiological parameter 2.

[0322] S519. Evaluation results of electronic equipment 100 output.

[0323] The specific details of steps S518 to S519 can be found above. Figure 2 The relevant content of steps S210 to S211 shown will not be repeated here.

[0324] Using the measurement method provided in this application, the electronic device 100 can, based on its connection with the electronic scale 200, select whether to receive one or more pre- and / or post-exercise physiological signals (e.g., BCG and / or IPG signals) sent by the electronic scale 200, and combine this with its own collected pre- and post-exercise physiological signals (e.g., PPG signals) to determine and output the evaluation result. This improves the accuracy of the evaluation result and allows for consideration of specific scenarios to determine whether to use more physiological signals, resulting in a wider range of applications and greater flexibility.

[0325] Understandable, Figure 5 The illustrated embodiment is merely an example. In the embodiments of this application, the electronic device 100 and the electronic scale 200 may also adopt a ratio Figure 5 The embodiments shown have more, fewer, or more Figure 5 The different steps used in the illustrated embodiments for assessing exercise and cardiac function are not limited herein.

[0326] In some embodiments, the electronic device 100 can determine whether it can be connected to the electronic scale 200 before and after exercise, and determine whether to use the physiological signals measured by the electronic scale 200 to complete the cardiac function assessment based on the determination result.

[0327] In one possible implementation, the electronic device 100 can connect to the electronic scale 200 before exercise, allowing the electronic device 100 to acquire the pre-exercise BCG and / or IPG signals measured by the electronic scale 200. In this case, the pre-exercise physiological signal 1 can include the pre-exercise physiological signal 3 measured by the electronic device 100 and the pre-exercise physiological signal 4 measured by the electronic scale 200. If the electronic device 100 loses communication with the electronic scale 200 during exercise, and cannot connect to the electronic scale 200 (or other electronic scales) after exercise, the post-exercise physiological signal 2 acquired by the electronic device 100 will only include the post-exercise physiological signal 5 measured by the electronic device 100. In this situation, the electronic device 100 can complete a cardiac function assessment based on the pre-exercise physiological signal 1 and the post-exercise physiological signal 2. The specific process for the electronic device 100 to complete a cardiac function assessment based on the pre-exercise and post-exercise physiological signals can be referred to the above. Figure 2 or Figure 5 The relevant steps in the illustrated embodiments will not be repeated here.

[0328] In one possible implementation, the electronic device 100 cannot connect to any electronic scale before exercise. In this case, the pre-exercise physiological signal 1 only includes the physiological signal 3 measured by the electronic device 100 before exercise. If the electronic device 100 can connect to the electronic scale 200 after exercise, the post-exercise physiological signal 2 acquired by the electronic device 100 can include the physiological signal 5 measured by the electronic device 100 after exercise and the physiological signal 6 measured by the electronic scale 200 after exercise. In this case, the electronic device 100 can complete the cardiac function assessment based on the pre-exercise physiological signal 1 and the post-exercise physiological signal 2. The specific process for the electronic device 100 to complete the cardiac function assessment based on the pre- and post-exercise physiological signals can be referred to the above. Figure 2 or Figure 5 The relevant steps in the illustrated embodiments will not be repeated here.

[0329] It is understood that the above two implementation methods are merely illustrative examples. The electronic device 100 may complete the cardiac function assessment without using the electronic scale 200, or it may complete the cardiac function assessment using the electronic scale 200 before and after exercise, or it may complete the cardiac function assessment using the electronic scale 200 only before or after exercise. Whether or not the electronic scale 200 is used may be based on whether or not it can be connected to the electronic scale 200. In some other embodiments, it may also be based on the user's choice of whether or not to use the electronic scale 200. This application does not limit this.

[0330] In other embodiments, during the execution of the measurement method provided in this application, the physiological signal 3 measured by the electronic device 100 before exercise and the physiological signal 4 measured by the electronic device 100 after exercise may be different. The physiological signal 3 may include the pre-exercise PPG signal, and optionally, may also include the pre-exercise IPG signal and / or the pre-exercise ECG signal. The physiological signal 4 may include the post-exercise PPG signal, and optionally, may also include the post-exercise IPG signal and / or the post-exercise ECG signal.

[0331] In one possible implementation, the electronic device 100 may be pre-configured with the contents of physiological signals 3 and 4. For example, the pre-configured physiological signals 3 may include pre-exercise PPG signals and pre-exercise IPG signals, and the physiological signals 4 may include post-exercise PPG signals and post-exercise ECG signals, etc.

[0332] In another possible implementation, the electronic device 100 can determine the composition of physiological signals 3 and 4 based on one or more factors, such as the current battery level, the condition of the devices, and the user's selected operations. For example, if the battery level of the electronic device 100 is greater than a preset battery level before exercise, the electronic device 100 can measure the pre-exercise PPG signal, IPG signal, and ECG signal when measuring the pre-exercise physiological signal 3; if the battery level of the electronic device 100 is less than or equal to the preset battery level after exercise, the electronic device 100 can measure only the post-exercise physiological signal 4 to save power. As another example, if the electronic device 100 determines that the PPG module, IPG sensor, ECG module, and other devices are not damaged before exercise, the electronic device 100 can measure the pre-exercise PPG signal, IPG signal, and ECG signal when measuring the pre-exercise physiological signal 3; if the electronic device 100 determines that the ECG module and other devices are damaged after exercise, the electronic device 100 can measure the post-exercise physiological signal 4 by measuring the post-exercise PPG signal and IPG signal.

[0333] It is understood that the above two implementation methods are merely illustrative examples. The physiological signals measured by the electronic device 100 before and after exercise may be the same or different. Specifically, the composition of the physiological signals measured before and after exercise may be determined based on one or more factors such as the current power level, the damage status of the device, and the user's selected operation. This application does not limit this.

[0334] In some application scenarios, electronic device 100 and electronic scale 200 can establish communication connections with electronic device 300 respectively. Electronic device 100 can collect some physiological signals (such as PPG signals) before and after user exercise, while electronic scale 200 can collect some physiological signals (such as BCG signals and / or IPG signals) before and after user exercise. Electronic device 300 can receive the physiological signals before and after exercise sent by electronic device 100 and electronic scale 200, and determine and output the evaluation results based on the received physiological signals.

[0335] In this way, the physiological signals collected by the electronic device 100 and the electronic scale 200 can be used for evaluation, which not only improves the accuracy of the evaluation results, but also allows for interaction with the user through the electronic device 300, providing the user with richer interaction methods.

[0336] Figure 7 A flowchart illustrating another measurement method provided in an embodiment of this application is shown.

[0337] like Figure 7 As shown, the specific process of another measurement method may include the following steps:

[0338] S701. Electronic device 300 establishes a communication connection with electronic scale 200.

[0339] S702. Electronic device 300 establishes a communication connection with electronic device 100.

[0340] The electronic device 100 can execute steps S701 and S702 simultaneously, or it can execute step S701 first and then step S702, or it can execute step S702 first and then step S701. The execution order of steps S701 and S702 is not limited in this embodiment.

[0341] S703. Electronic device 300 receives user operation 3.

[0342] The description of user operation 3 can be found above. Figure 2 The relevant description of operation 1 in the illustrated embodiment.

[0343] S704. Electronic device 300 outputs measurement prompt 5, which prompts the user to measure the BCG signal and / or IPG signal in the resting state on electronic scale 200.

[0344] The electronic device 300 can respond to the user's operation 2 by simultaneously executing steps S704 and S705, or it can execute step S704 first and then step S705, or execute step S705 first and then step S704. The execution order of steps S704 and S705 is not limited in this embodiment.

[0345] The details of step S704 can also be found above. Figure 5 The relevant description of step S504 shown will not be repeated here.

[0346] S705. Electronic device 300 sends acquisition request 1 to electronic device 100. Acquisition request 1 is used to request the acquisition of the PPG signal before the movement.

[0347] S706. Electronic device 100 measures PPG signal before motion.

[0348] Electronic device 100 can respond to acquisition request 1 by measuring the user's PPG signal before exercise via the PPG module.

[0349] S707. Electronic device 100 sends a pre-motion PPG signal to electronic device 300.

[0350] It should be noted that steps S706 to S707 are performed after step S705. Since there is no restriction on the execution order between steps S704 and S705, there is also no restriction on the execution order between steps S705 to S707 and step S704. That is, step S704 can be performed before step S705; or step S704 can be performed after step S707; or step S704 can be performed during the execution of steps S705 to S707. This application does not impose any restrictions here.

[0351] S708. Electronic scale 200 acquires BCG and / or IPG signals before exercise.

[0352] S709. The electronic scale 200 sends a pre-motion BCG signal and / or IPG signal to the electronic device 300.

[0353] The details of steps S708 to S709 can be found above. Figure 5 The relevant descriptions of steps S505 to S506 shown are not repeated here.

[0354] S710. Electronic device 300 determines physiological parameters 1 based on pre-exercise physiological signals 1.

[0355] The details of step S710 can also be found above. Figure 5 Step S508 shown or the above Figure 2 The relevant description of step S203 shown will not be repeated here.

[0356] S711. Electronic device 300 determines whether a user has cardiac function risks based on pre-exercise PPG signals.

[0357] Steps S711 and S712 are optional.

[0358] If it is determined that the user has a risk to cardiac function, then proceed with step S712 below.

[0359] If it is determined that the user does not have any risk to cardiac function, then proceed to step S713 below.

[0360] S712. Electronic device 300 outputs a risk warning, which is used to alert the user to the presence of cardiac function risks and to advise the user to stop exercising.

[0361] S713. Electronic device 300 detects that the user has started moving and outputs a movement prompt, which is used to prompt the user to start moving.

[0362] S714. Electronic device 300 detects that the user has ended the exercise state and outputs measurement prompt 6. Measurement prompt 6 is used to prompt the user to measure the BCG signal and / or IPG signal after the exercise on electronic scale 200.

[0363] The other specific details of steps S711 to S714 can be found above. Figure 2 The relevant descriptions of steps S204 to S207 shown above can also be found elsewhere. Figure 5 The relevant descriptions in steps S509 to S513 shown will not be repeated here.

[0364] S715. Electronic device 300 sends acquisition request 2 to electronic device 100. Acquisition request 2 is used to request the acquisition of the PPG signal after motion.

[0365] S716. Electronic device 100 measures PPG signal after motion.

[0366] S717. Electronic device 100 sends a PPG signal after motion to electronic device 300.

[0367] S718. The electronic scale 200 detects that the user is standing on the electronic scale 200 and acquires the BCG signal and / or IPG signal after the movement.

[0368] S719. The electronic scale 200 sends the BCG signal and / or IPG signal after motion to the electronic device 300.

[0369] S720. Electronic device 300 determines physiological parameters 2 based on physiological signals 2 after exercise.

[0370] The specific content of steps S715 to S720 can be compared with the relevant descriptions of steps S705 to S710 above, and will not be repeated here.

[0371] S721. Electronic device 300 determines the evaluation results based on physiological parameter 1 and physiological parameter 2.

[0372] S722. Electronic Equipment 300 Output Evaluation Results.

[0373] The specific details of steps S721 to S722 can be found above. Figure 2 The relevant content of steps S210 to S211 shown will not be repeated here.

[0374] Using the measurement method provided in this application, physiological signals of the user before and after exercise can be collected by multiple electronic devices such as electronic device 100 and electronic scale 200. Exercise and cardiac function assessment can then be completed by electronic device 300 based on the collected physiological signals. This allows for assessment based on the physiological signals collected by electronic device 100 and electronic scale 200, improving the accuracy of the assessment results and providing users with richer interactive methods through electronic device 300.

[0375] Understandable, Figure 7 The illustrated embodiment is merely an example. In the embodiments of this application, the electronic device 300, electronic device 100, and electronic scale 200 may also employ methods that are more advanced than those described above. Figure 7 The embodiments shown have more, fewer, or more Figure 7 The different steps used in the illustrated embodiments for assessing exercise and cardiac function are not limited herein.

[0376] In other embodiments, in scenarios where the electronic device 300 interacts with the user, the electronic device 100 can also establish a communication connection with the electronic scale 200 to acquire IPG and / or BCG signals before and after exercise sent by the electronic scale 200. In one possible implementation, the electronic device 100 can determine the user's physiological parameter 1 at rest before exercise and physiological parameter 2 after exercise based on its own acquired PPG signal (optionally, also ECG signal, etc.) and the IPG and / or BCG signals sent by the electronic scale 200, and send physiological parameters 1 and 2 to the electronic device 300, which then determines and outputs the evaluation result based on physiological parameters 1 and 2. In another possible implementation, the electronic device 100 can determine the evaluation result based on its own acquired PPG signal (optionally, also ECG signal, etc.) and the IPG and / or BCG signals sent by the electronic scale 200, and send the evaluation result to the electronic device 300, instructing the electronic device 300 to output the evaluation result.

[0377] It is understood that the embodiments described above are merely two examples. In the embodiments of this application, the electronic device 100, the electronic scale 200, and the electronic device 300 may also perform exercise and cardiac function assessments in a manner different from the above embodiments. This application does not limit these methods.

[0378] The following is a schematic diagram of the interface of the measurement method provided in the embodiments of this application, combined with specific application scenarios.

[0379] In some application scenarios, electronic device 100 can enable exercise and cardiac function assessment within application 1 (e.g., a sports and health application). After enabling exercise and cardiac function assessment, electronic device 100 can determine whether an electronic scale is currently connected. If no electronic scale is connected, electronic device 100 can search for nearby electronic scales and display one or more device options based on the search results, with each device option corresponding to a found electronic scale. Electronic device 100 can receive and respond to the user's selection of one of the device options and establish a communication connection with the electronic scale 200 corresponding to that device option. Electronic device 100 can measure the user's PPG signal at rest and, after the communication connection is established, can prompt the user to measure BCG and / or IPG signals at the connected electronic scale 200. Electronic device 100 can determine whether the user has cardiac function risks based on the PPG signal. If it is determined that the user has cardiac function risks, electronic device 100 can output a risk warning, indicating that the user has cardiac function risks and suggesting that the user stop exercising. Optionally, the electronic device 100 may also output physiological parameters 1 in the resting state based on the PPG signal, as well as the BCG signal and / or IPG signal sent by the electronic scale 200.

[0380] In this way, the electronic device 100 can acquire the user's physiological signals 1 (such as PPG, IPG, BCG, etc.) at rest before exercise anytime and anywhere, making the measurement more convenient and efficient. Furthermore, it can promptly alert the user to stop exercising when a risk to cardiac function is detected, improving user safety.

[0381] For example, Figures 8A-8I This illustration shows a schematic diagram of the interface of a set of electronic devices 100 provided in an embodiment of this application for acquiring physiological signals 1 of a user in a resting state.

[0382] like Figure 8A As shown, the electronic device 100 can display a main interface 800, which may include one or more application icons, such as a sports and health application icon 801, a calculator application icon, a settings application icon, etc.

[0383] Electronic device 100 can receive and respond to user clicks on the fitness and health application icon 801, displaying, for example... Figure 8BThe sports and health interface shown is 810.

[0384] like Figure 8B As shown, the sports and health interface 810 may include one or more controls, such as a sports recording control and a sports and cardiac function assessment control 811. The sports recording control can be used to trigger the electronic device 100 to display the user's sports record. The sports and cardiac function assessment control 811 can be used to trigger the activation of the sports and cardiac function assessment.

[0385] In some embodiments, the electronic device 100 can receive and respond to a user's click on the exercise and cardiac function assessment control 811, and when it detects that no scale is currently connected, it can search for nearby scales and display information such as... Figure 8C The device selection interface shown is 820.

[0386] like Figure 8C As shown, the device selection interface 820 may include a start assessment control 823. Optionally, the device selection interface 820 may also include a disconnection prompt 821, one or more device options, etc. The disconnection prompt 821 can be used to inform the user that the current electronic device 100 has not established a communication connection with any scale. The disconnection prompt 821 may include text, such as "Currently, no communication connection has been established with any scale." In the one or more device options, each device option can correspond to a scale searched by the electronic device 100. For example, the one or more device options may include scale A option 822, which corresponds to scale A. Each device option can be used to trigger the electronic device 100 to establish a communication connection with the scale corresponding to that device option. The start assessment control 823 can be used to trigger the electronic device 100 to perform exercise and cardiac function assessment independently without needing to establish a communication connection with the scale 200.

[0387] In some embodiments, the electronic device 100 may receive and respond to a user's click on the launch evaluation control 823, displaying the following Figure 8G The PPG measurement interface 860 is described above. It should be noted that if the electronic device 100 is not connected to any electronic scale at this time, the electronic device 100 can independently complete the cardiac function assessment.

[0388] In some embodiments, the electronic device 100 may receive and respond to a user's click operation on option A 822 of the electronic scale, displaying, as shown below. Figure 8D The connection interface shown is 830.

[0389] like Figure 8DAs shown, the connection interface 830 may include a connection prompt 831, which can be used to indicate to the user that the electronic device 100 is connecting to the electronic scale A. The connection prompt 831 may include text, such as "Connecting to electronic scale A...".

[0390] After the electronic device 100 is detected to be connected to the electronic scale 200, the electronic device 100 can display the following: Figure 8E The connection completion interface 840 is shown. In other embodiments, if the electronic device 100 has previously established a communication connection with the electronic scale A, the electronic device 100 can also receive and respond to user requests. Figure 8C The click operation of option A 822 on the electronic scale shown below displays the following: Figure 8E The connection completion interface 840 is shown. In other embodiments, if the electronic device 100 has previously established a communication connection with the electronic scale A, the electronic device 100 will display... Figure 8C After accessing the device options interface 820 as shown, if no user operation is received within a preset time (e.g., 20 seconds or 15 seconds), a communication connection can be directly established with the electronic scale A, and the following display will be shown: Figure 8E The connection completion interface shown is 840.

[0391] like Figure 8E As shown, the connection completion interface 840 may include a connection completion prompt 841. The connection completion prompt 841 can be used to notify the user that the electronic device 100 has established a communication connection with the electronic scale A. Optionally, the connection completion interface 840 may also include a next step control 842, which can be used to trigger the electronic device 100 to stop displaying the connection completion prompt 841.

[0392] In some embodiments, the electronic device 100 may receive and respond to a user's click on the next step control 842, displaying, for example... Figure 8F The test prompt interface 850 is shown. In other embodiments, the electronic device 100 may also display a prompt when the display duration of the connection completion interface 840 reaches a preset duration (e.g., 1 minute, or 30 seconds). Figure 8F The test prompt interface shown is 850.

[0393] like Figure 8FAs shown, the test prompt interface 850 may include a measurement prompt 851, which can be used to prompt the user to measure the BCG signal and / or IPG signal in a resting state on the electronic scale A. The measurement prompt 851 may include text, such as "Please stand on the electronic scale A and measure the BCG signal and IPG signal in a resting state". Optionally, the test prompt interface 850 may also include a next step control 852, which can be used to trigger the electronic device 100 to stop displaying the measurement prompt 851. In some other embodiments, the electronic device 100 may also receive a measurement start notification 1 or a measurement completion notification 1 sent by the electronic scale 200 and stop displaying the measurement prompt 851. The measurement start notification 1 can be used to notify the electronic device 100 that the user has stood on the electronic scale 200; the measurement completion notification 1 is used to notify the electronic device 100 that the electronic scale 200 has completed the measurement. Optionally, the measurement completion notification 1 may carry the BCG signal and / or IPG signal of the user in a resting state.

[0394] In some embodiments, the electronic device 100 may receive and respond to a user's click on the next step control 852, displaying, for example... Figure 8G The PPG measurement interface 860 is shown. It should be noted that in some other embodiments, the electronic device 100 may also display, after connecting to the electronic scale A, the following... Figure 8G The PPG measurement interface 860 shown measures the PPG signal before movement and then displays it as shown. Figure 8F The measurement prompt interface 850 shown is not limited herein. In other embodiments, Figure 8G The PPG measurement interface 860 shown can also be an optional interface. The electronic device 100 can also, after acquiring physiological signals (such as PPG signals) in the resting state, display the following based on the physiological signals in the resting state: Figure 8I The resting physiological parameters interface shown is 880.

[0395] like Figure 8G As shown, the PPG measurement interface 860 may include a PPG measurement prompt 861, which can be used to prompt the user to measure or to indicate that the PPG signal is being measured before movement. The PPG measurement prompt 861 may include text, such as "PPG signal acquisition in progress, please remain still".

[0396] After the PPG signal is measured before exercise, the electronic device 100 can determine whether the user has any cardiac function risks based on the pre-exercise PPG signal. If it is determined that the user has cardiac function risks, the electronic device 100 can display the following: Figure 8H The risk warning interface shown is 870.

[0397] like Figure 8HAs shown, the risk warning interface 870 may include a risk warning 871, which can be used to alert the user to a potential risk to their heart function and advise the user to stop exercising. The risk warning 871 may include text, such as "A risk of heart failure has been detected; it is recommended to stop this exercise." Optionally, the risk warning interface 870 may also include an awareness control 872, which can be used to trigger the electronic device 100 to stop displaying the risk warning 871.

[0398] In some embodiments, the electronic device 100 may display, for example, if it is determined based on pre-exercise PPG signals that the user does not have cardiac function risks. Figure 8I The resting physiological parameters interface 870 is shown. In other embodiments, the electronic device 100 may also, upon determining that the user has a risk to cardiac function, display, as shown in the image. Figure 8H Before or after the risk warning interface shown in Figure 870, the following is displayed: Figure 8I The resting physiological parameters interface shown is 880.

[0399] like Figure 8I As shown, the resting physiological parameter interface 880 can include multiple physiological parameters in the resting state, such as heart rate, stroke volume, cardiac output, and blood oxygen saturation. Optionally, the resting physiological parameter interface 880 may also include a start exercise control 881, which can be used to start the user's exercise state.

[0400] Understandable, Figures 8A-8I The embodiments shown are merely examples. In the process of acquiring physiological signals of a user in a resting state, the electronic device 100 may display more, fewer, or different interfaces than those in the above embodiments. This application does not limit the scope of the embodiments.

[0401] In some application scenarios, after detecting that a user has started exercising, the electronic device 100 can display an exercise interface, which may include one or more physiological parameters during exercise (such as heart rate, oxygen uptake, calories, etc.). After detecting that the user has finished exercising, the electronic device 100 can display a post-exercise measurement prompt, prompting the user to measure post-exercise physiological signals 2, such as PPG signals, as well as BCG and / or IPG signals. After acquiring post-exercise physiological signals 2, the electronic device 100 can determine and display the evaluation results based on physiological signals 1 and 2.

[0402] In this way, the electronic device 100 can conveniently acquire the user's physiological signals 2 after exercise (such as PPG signal, IPG signal, BCG signal, etc.), and determine and output the evaluation results based on the physiological signals 1 before exercise and the physiological signals 2 after exercise, so that the user can understand his / her exercise and cardiac function in a timely manner.

[0403] For example, Figures 9A-9F This illustration shows a schematic diagram of an interface provided by an embodiment of the present application, in which a set of electronic devices 100 acquires physiological signals after exercise and outputs evaluation results.

[0404] In some embodiments, the electronic device 100 can receive and respond to user requests. Figure 8I The click operation of the start motion control 881 shown below displays as follows: Figure 9A The motion interface shown is 900.

[0405] like Figure 9A As shown, the exercise interface 900 may include one or more physiological parameters related to exercise, such as heart rate 901, oxygen uptake 902, calories 903, etc. The exercise interface 900 may also include an exercise type indicator 904, which can be used to indicate the type of exercise the user is currently performing, such as outdoor running. Furthermore, the exercise interface 900 may also include an end-exercise control 905, which is used to trigger the electronic device 100 to set the user's exercise status to end.

[0406] Electronic device 100 can receive and respond to a user's click operation on the end motion control 905, displaying, for example... Figure 9B The measurement prompt interface shown is 910.

[0407] like Figure 9B As shown, the measurement prompt interface 910 may include a measurement prompt 911. The measurement prompt 911 can be used to prompt the user to measure the BCG and / or IPG signals after exercise at the electronic scale within a specified time after exercise. In some embodiments, the measurement prompt 911 may include text, such as "Please stand on the electronic scale A within 1 minute to measure the BCG and IPG signals after exercise." Optionally, the measurement prompt interface 910 may also include a next step control 912, which can be used to trigger the electronic device 100 to stop displaying the measurement prompt 911. In other embodiments, the electronic device 100 may also receive a measurement start notification 2 or a measurement completion notification 2 sent by the electronic scale 200, and stop displaying the measurement prompt 911. The measurement start notification 2 can be used to notify the electronic device 100 that the user has stood on the electronic scale 200; the measurement completion notification 2 is used to notify the electronic device 100 that the electronic scale 200 has completed the measurement. Optionally, the measurement completion notification 2 may carry the user's BCG and / or IPG signals after exercise.

[0408] In some embodiments, the electronic device 100 may receive and respond to a user's click operation on the next step control 912, or, if it detects that the display duration of the measurement prompt 911 has reached a preset duration (e.g., 30 seconds), the electronic device 100 may display as follows: Figure 9C The PPG measurement interface 920 is shown. In other embodiments, Figure 9C The PPG measurement interface 920 shown can also be an optional interface. The electronic device 100 can also display the following based on the post-exercise physiological signals (such as PPG signals) after acquiring them. Figure 9D The interface showing post-exercise physiological parameters is shown in 930.

[0409] like Figure 9C As shown, the PPG measurement interface 920 may include a PPG measurement prompt 921, which can be used to prompt the user to measure (or be measuring) the PPG signal after movement. In some embodiments, the PPG measurement prompt 921 may include text, such as "PPG signal acquisition after movement, please remain still".

[0410] After the PPG signal measurement is completed following the exercise, the electronic device 100 can display as follows: Figure 9D The interface showing post-exercise physiological parameters is shown in 930.

[0411] like Figure 9D As shown, the post-exercise physiological parameter interface 930 can include multiple physiological parameters at rest, such as heart rate, stroke volume, cardiac output, blood oxygen saturation, and oxygen uptake. Optionally, the post-exercise physiological parameter interface 930 may also include an exercise and cardiac function assessment control 931, which can be used to trigger the electronic device 100 to generate and display the assessment results.

[0412] Electronic device 100 can receive and respond to user clicks on the exercise and cardiac function assessment control 931, displaying, for example... Figure 9E The generated interface shown is 940.

[0413] like Figure 9E As shown, the generation interface 940 may include a generation prompt to inform the user that the assessment results of the exercise and cardiac function evaluation are being generated. In some embodiments, the generation prompt may include a text prompt 941 and / or an image prompt 942. For example, the text prompt 941 may include the text "Exercise and cardiac function evaluation is being performed based on physiological parameters before and after exercise." The image prompt 942 may also include the progress of the evaluation result generation, such as "60%".

[0414] After the evaluation results are generated, the electronic device 100 can display, as follows: Figure 9F The evaluation results interface shown is 950.

[0415] like Figure 9FAs shown, the assessment results interface 950 can be used to output assessment results, which may include cardiac function assessments, such as cardiac pumping capacity 953. The assessment results may also include exercise function assessments, such as exercise capacity 951 and exercise endurance 952. In some embodiments, cardiac pumping capacity 953, exercise capacity 951, and exercise endurance 952 can all be... Figure 9F The numerical values ​​displayed are output, for example, cardiac pumping capacity 953 may include the value "5", exercise capacity 951 may include the value "8", exercise endurance 952 may include the value "7", etc. Optionally, the evaluation results interface 950 may also display remarks 954, which can be used to explain and illustrate the evaluation results. For example, remarks 954 may include the text "Value range 0-10, the higher the value, the stronger the ability". In some embodiments, remarks 954 may also be used to explain the reasons for high or low values ​​of cardiac pumping capacity and / or exercise endurance. Further optionally, the evaluation results interface 950 may also display changes in physiological parameters before and after exercise, etc.

[0416] Understandable, Figures 9A-9F The embodiments shown are merely examples. In the embodiments of this application, the electronic device 100 may also display more, fewer, or different interfaces than the above embodiments during the process of acquiring physiological signals after exercise and outputting evaluation results. This application does not limit this.

[0417] In some application scenarios, after starting the exercise and cardiac function assessment, the electronic device 100 can also display a measurement mode prompt, which prompts the user to choose whether to complete the cardiac function assessment independently using the electronic device 100. If the user chooses to complete the cardiac function assessment independently using the electronic device 100, the electronic device 100 can measure the user's physiological signals before and after exercise (such as PPG signals, IPG signals, ECG signals, etc.), and determine and output the assessment results based on the physiological signals before and after exercise. If the user chooses to combine the physiological signals measured by the electronic scale 200 (such as BCG signals and / or IPG signals) to complete the cardiac function assessment, the electronic device 100 can establish a communication connection with the electronic scale 200, and determine and output the assessment results based on the physiological signals measured by the electronic device 100 and the electronic scale 200 before and after exercise.

[0418] In this way, the electronic device 100 can determine whether to independently complete the cardiac function assessment based on the user's choice, making it convenient for the user to choose the appropriate measurement method according to the actual scenario.

[0419] For example, Figure 9G-Figure 9K This illustration shows a schematic diagram of the interface for a set of electronic devices 100 providing measurement mode prompts according to an embodiment of this application.

[0420] In some embodiments, the electronic device 100 may display the above-mentioned features. Figure 8B The sports and health interface shown is 810.

[0421] Electronic device 100 can receive and respond to user clicks on the exercise and cardiac function assessment control 811, displaying, for example... Figure 9G The measurement method selection interface shown is 960.

[0422] like Figure 9G As shown, the measurement method selection interface 960 may include a single-device measurement option 961 and a multi-device measurement option 962. The single-device measurement option 961 can be used to trigger the electronic device 100 to independently complete a cardiac function assessment; the multi-device measurement option 962 can be used to trigger the electronic device 100 to combine physiological signals measured by other electronic devices (such as an electronic scale 200) to complete a cardiac function assessment.

[0423] In some embodiments, the electronic device 100 may receive and respond to a user's click action on the multi-device measurement option 962, displaying, for example... Figure 9H The device selection interface shown is 970.

[0424] like Figure 9H As shown, the device selection interface 970 may include one or more device options, each device option corresponding to an electronic device that can establish a communication connection with the electronic device 100. For example, the one or more device options may include electronic scale option A 971, electronic scale option B 972, etc. Each device option can be used to trigger the electronic device 100 to establish a communication connection with the electronic device corresponding to that device option.

[0425] Electronic device 100 can receive and respond to the user's click operation on option A 971 of the electronic scale, and display the above. Figure 8D The connection interface 830 is shown. The subsequent interface diagram for the electronic device 100 combined with the electronic scale A to complete the cardiac function assessment can be referred to above. Figures 8D-9F The relevant descriptions in the illustrated embodiments will not be repeated here.

[0426] In other embodiments, such as Figure 9I As shown, the electronic device 100 can receive and respond to a user's click operation on the single-device measurement control 961, displaying as shown in the image. Figure 9J The PPG measurement interface shown is 860 or display. Figure 9K The resting physiological parameter interface 880 is shown. For details regarding the PPG measurement interface 860 and the resting physiological parameter interface 880, please refer to the above. Figure 8G or Figure 8I The relevant descriptions in the illustrated embodiments will not be repeated here.

[0427] It should be noted that if the user chooses to complete the cardiac function assessment independently using the electronic device 100, the electronic device 100 may not display the aforementioned information before exercise. Figure 8F The measurement prompt interface 850 and the interface for establishing a communication connection with the electronic scale A, etc., can directly display... Figure 9J The PPG measurement interface shown is 860 or it can be displayed directly. Figure 9K The resting physiological parameters interface 880 is shown; furthermore, the electronic device 100 does not need to display anything after exercise. Figure 9B The measurement prompt interface 910 in the illustrated embodiment can directly display... Figure 9C The PPG measurement interface shown is 920 or Figure 9D The interface for post-exercise physiological parameters (930) is shown below. The interface for subsequent output of evaluation results can also be referenced from the above. Figures 9E-9F The relevant descriptions in the illustrated embodiments will not be repeated here.

[0428] It is understood that the embodiments described herein are merely illustrative and can be used to complete cardiac function assessments based on the measurement methods selected by the user. In the embodiments of this application, the electronic device 100 may also display more, fewer, or different interfaces than those in the above embodiments, and this application does not impose any limitations on this.

[0429] In some application scenarios, the electronic device 300 can also interact with the user. In this case, during exercise and cardiac function assessments, the electronic device 300 can display measurement prompts, risk warnings, physiological parameters before and after exercise, and assessment results. It is understandable that the interface displayed by the electronic device 300 during exercise and cardiac function assessments can be compared to the above. Figures 8A-9F The content displayed on the interface of the electronic device 100 in the illustrated embodiment is not limited herein.

[0430] The functional modules of the electronic device and measurement system provided in the embodiments of this application are described below.

[0431] Figure 10 A schematic diagram of the functional modules of an electronic device 100 provided in an embodiment of this application is shown.

[0432] like Figure 10 As shown, the electronic device 100 may include a data acquisition module 1101, a data processing and analysis module 1102, a data storage and management module 1103, and a user interaction module 1104. Optionally, it may also include one or more of the following: a communication module 1105 and a cloud service module 1106. Wherein:

[0433] The data acquisition module 1101 can acquire the user's physiological signals before and after exercise. These physiological signals may include PPG signals, and optionally, IPG signals and / or ECG signals. Further optionally, the data acquisition module 1101 can also acquire the user's physiological signals during exercise. The data acquisition module 1101 may include a PPG module 1101a, and optionally, it may include one or more of the following: an ACC module 1101b, an IPG module 1101c, an ECG module 1101d, etc. The PPG module 1101a can acquire the user's PPG signals, such as PPG signals before exercise, PPG signals after exercise, and optionally, PPG signals during exercise. The ACC module 1101b can determine whether the user is at rest. The IPG module 1101c can acquire the user's IPG signals. The ECG module 1101d can acquire the user's ECG signals. The data acquisition module 1101 can send the acquired physiological signals to the data processing and analysis module 1102. In some embodiments, the data acquisition module 1101 may also send the acquired physiological signals to the data storage and management module 1103.

[0434] The data processing and analysis module 1102 can acquire physiological signals of the user before and after exercise from any one or more of the data acquisition module 1101, data storage and management module 1103, communication module 1105, and cloud service module 1106, and process the physiological signals to determine physiological parameters and / or evaluation results before and after exercise. In some embodiments, the data processing and analysis module 1102 may include a preprocessing module 1102a, a feature extraction module 1102b, and an algorithm analysis module 1102c. The preprocessing module 1102a can preprocess the physiological signals, such as by filtering, noise reduction, and artifact removal, and send the preprocessed physiological signals to the feature extraction module 1102b. The feature extraction module 1102b can extract features from the preprocessed physiological signals and send the extracted features to the algorithm analysis module 1102c. The algorithm analysis module 1102c can store one or more algorithms that can determine the user's physiological parameters before and after exercise (e.g., physiological parameter 1, physiological parameter 2, etc.) based on the features extracted by the feature extraction module 1102b, and can also determine whether the user has cardiac function risks. In some embodiments, the algorithm analysis module 1102c can also determine the evaluation result based on the physiological parameters before and after exercise. After determining the user's physiological parameters and / or evaluation results, the data processing and analysis module 1102 can send the user's physiological parameters and / or evaluation results to the user interaction module 1104. In some embodiments, if it is determined that the user has cardiac function risks, the data processing and analysis module 1102 can also send a risk notification to the user processing module 1104 to notify the user interaction module 1104 to output a risk warning. In some embodiments, the data processing and analysis module 1102 can send data such as the physiological parameters before and after exercise and the evaluation results to the data storage and management module 1103.

[0435] The data storage and management module 1103 can store collected physiological signals, processed signal characteristics, physiological parameters, and evaluation results. It also supports historical data querying and backtracking, and manages user identity information, health records, exercise records, etc. The data storage and management module 1103 can store and manage data. For example, physiological signals before and after exercise sent by the data acquisition module 1101, optionally including physiological signals during exercise. Another example is physiological parameters and evaluation results sent by the data processing and analysis module 1102. In some embodiments, the data storage and management module 1103 can also receive and respond to a command from the user interaction module 1104 to view historical records, sending previous evaluation results and / or physiological parameters to the user interaction module 1104. In some embodiments, the data storage and management module 1103 can also send stored physiological signals and / or physiological parameters to the cloud service module 1106 and receive evaluation results returned by the cloud service module 1106.

[0436] The user interaction module 1104 can interact with the user, that is, receive user operations and output corresponding content based on the user's operations, such as risk warnings, measurement prompts, physiological parameters, assessment results, etc. In some embodiments, the user interaction module 1104 can receive and output physiological parameters and / or assessment results sent by the data processing and analysis module 1102. In other embodiments, the user interaction module 1104 can also receive and respond to the user's operation of viewing historical records, and obtain previous assessment results and / or physiological parameters from the data storage and management module 1103 or the cloud service module 1106. In some embodiments, the user interaction module 1104 may also receive and respond to the user's operation of starting exercise and cardiac function assessment by sending an instruction M1 to the data acquisition module 1101. The instruction M1 is used to instruct the data acquisition module 1101 to collect the user's physiological signals before, during and after exercise. Optionally, the user interaction module 1104 may also send an instruction M2 to the communication module 1105. The instruction M2 is used to instruct the communication module 1105 to send a measurement request to other electronic devices (e.g., electronic scale 200). The measurement request is used to request the other end to measure and return the user's physiological signals (e.g., BCG signals and / or IPG signals).

[0437] The communication module 1105 can communicate with other electronic devices. In some embodiments, the communication module 1105 can receive BCG and / or IPG signals before and after user movement sent by other electronic devices (e.g., the electronic scale 200), and send the received BCG and / or IPG signals to the data processing and analysis module 1102. In some embodiments, the communication module 1105 can receive and respond to the instruction M2 sent by the user interaction module 1104 to send a measurement request to the electronic scale 200. The measurement request is used to request the other end to measure and return the user's physiological signals (e.g., BCG and / or IPG signals).

[0438] The cloud service module 1106 can provide cloud computing services and / or cloud storage services. In some embodiments, the cloud service module 1106 can acquire physiological signals before and after exercise from the data storage and management module 1103, determine the evaluation result based on the physiological signals, and send the evaluation result to the user interaction module 1104. In other embodiments, the cloud service module 1106 can acquire physiological signals before and after exercise measured by other electronic devices (e.g., electronic scale 200), such as IPG signals and / or BCG signals. The cloud service module 1106 can send the acquired physiological signals to the data processing and analysis module 1102.

[0439] Understandable, Figure 10 The embodiments shown are merely examples. 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. In addition, any of the above modules may be divided into multiple modules, or any of the above modules may be merged into one module. This application does not limit this.

[0440] Figure 11 A schematic diagram of the functional modules of a measurement system 10 provided in an embodiment of this application is shown.

[0441] like Figure 11 As shown, the measurement system 10 may include an electronic device 100 and an electronic scale 200. The electronic device 100 may include a data acquisition module 1101, a data processing and analysis module 1102, a data storage and management module 1103, a user interaction module 1104, and a communication module 1105; optionally, it may also include a cloud service module 1106. The electronic scale 200 may include a data acquisition module 1201 and a communication module 1202.

[0442] For a detailed description of the functions of each module in the electronic device 100, please refer to the above. Figure 10 The relevant descriptions in the illustrated embodiments will not be repeated here.

[0443] In the electronic scale 200, the data acquisition module 1201 may include a BCG module 1201a and / or an IPG module 1201b. The BCG module 1201a can acquire BCG signals before and / or after the user's movement. The IPG module 1201b can acquire IPG signals before and / or after the user's movement. The data acquisition module 1201 can send the acquired BCG and / or IPG signals to the communication module 1202. In some embodiments, the data acquisition module 1201 can measure the BCG and / or IPG signals before (or after) the user's movement in response to a command M3 sent by the communication module 1202.

[0444] The communication module 1202 can communicate with other electronic devices (e.g., electronic device 100). In some embodiments, the communication module 1202 can receive BCG and / or IPG signals sent by the data acquisition module 1201 and send the BCG and / or IPG signals to the electronic device 100. In other embodiments, the communication module 1202 can also receive measurement requests sent by the electronic device 100, which request measurement and send BCG and / or IPG signals to the electronic device 100. In response to the measurement request, the communication module 1202 can send an instruction M3 to the data acquisition module 1201, which instructs the data acquisition module 1201 to measure the BCG and / or IPG signals.

[0445] Understandable, Figure 11 The embodiments shown are merely examples. 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. In addition, any of the above modules may be divided into multiple modules, or any of the above modules may be merged into one module. This application does not limit this.

[0446] Figure 12 A schematic diagram of the functional modules of a measurement system 20 provided in an embodiment of this application is shown.

[0447] like Figure 12 As shown, the measurement system 20 may include an electronic device 100, an electronic device 300, and an electronic scale 200. The electronic device 100 may include a data acquisition module 1101, a data storage and management module 1103, and a communication module 1105. Optionally, it may also include one or more of the following: a user interaction module 1104, a data processing and analysis module 1102, and a cloud service module 1106. The electronic scale 200 may include a data acquisition module 1201 and a communication module 1202. The electronic device 300 may include a user interaction module 1301, a data processing and analysis module 1302, a data storage and management module 1303, and a communication module 1304, etc.

[0448] In electronic device 300:

[0449] The user interaction module 1301 can interact with the user, that is, receive the user's operations and output corresponding content based on the user's operations, such as risk warnings, measurement prompts, physiological parameters, assessment results, etc. In some embodiments, the user interaction module 1301 can receive and output physiological parameters and / or assessment results sent by the data processing and analysis module 1302. In other embodiments, the user interaction module 1301 can also receive and respond to the user's operation of viewing historical records, and obtain previous assessment results and / or physiological parameters from the data storage and management module 1303. In some embodiments, the user interaction module 1301 can also receive and respond to the user's operation of starting exercise and cardiac function assessment, and send instruction M4 to the communication module 1304. Instruction M4 is used to instruct the communication module 1304 to send a measurement request (or acquisition request) to other electronic devices (such as electronic device 100, electronic scale 200, etc.). The measurement request (or acquisition request) is used to request the other end to measure the user's physiological signals before and after exercise, and send the measured physiological signals to electronic device 300.

[0450] The data processing and analysis module 1302 can acquire physiological signals of the user before and after exercise from any one or more electronic devices, including the electronic device 100 and the electronic scale 200, through the communication module 1304, and process the physiological signals to determine physiological parameters and / or evaluation results before and after exercise. In some embodiments, the data processing and analysis module 1302 may include a preprocessing module 1302a, a feature extraction module 1302b, and an algorithm analysis module 1302c. Specific functional descriptions of the preprocessing module 1302a, the feature extraction module 1302b, and the algorithm analysis module 1302c can be found above. Figure 10 The relevant descriptions in the illustrated embodiments will not be repeated here. After determining the user's physiological parameters and / or assessment results, the data processing and analysis module 1102 can send the user's physiological parameters and / or assessment results to the user interaction module 1301. In some embodiments, if it is determined that the user has a risk to cardiac function, the data processing and analysis module 1302 can also send a risk notification to the user processing module 1301 to notify the user interaction module 1301 to output a risk warning. In some embodiments, the data processing and analysis module 1302 can send data such as physiological parameters before and after exercise and assessment results to the data storage and management module 1303.

[0451] The data storage and management module 1303 can store received physiological signals, processed signal characteristics, physiological parameters, and evaluation results. It also supports historical data querying and backtracking, and manages user identity information, health records, and exercise records. The specific functions of the data storage and management module 1303 and its interaction with other modules in the electronic device 300 can be compared to the above description. Figure 10 The relevant descriptions of the data storage and management module 1103 in the illustrated embodiment will not be repeated here.

[0452] The communication module 1304 can communicate with other electronic devices. In some embodiments, the communication module 1304 can receive physiological signals of the user before and after exercise, such as PPG signals, BCG signals, IPG signals, etc., sent by other electronic devices (e.g., electronic scale 200, electronic device 100). The communication module 1304 can send the received physiological signals to the data processing and analysis module 1302. In some embodiments, the communication module 1304 can receive and respond to the instruction M4 sent by the user interaction module 1301 to send a measurement request (or acquisition request) to other electronic devices (e.g., electronic scale 200, electronic device 100). The measurement request (or acquisition request) is used to request the other end to measure and return the user's physiological signals.

[0453] For a detailed description of the functions of each module in electronic device 100 and electronic scale 200, please refer to the above. Figures 10-11 The relevant descriptions in the illustrated embodiments will not be repeated here.

[0454] It should be noted that, compared with the above Figure 10 and Figure 11 The difference between the illustrated embodiments is that, in some embodiments, after acquiring physiological signals (e.g., PPG signals) before and after user exercise, the data acquisition module 1101 in electronic device 100 can send them to electronic device 300 via communication module 1105. Similarly, after acquiring physiological signals (e.g., BCG signals and / or IPG signals) before and / or after user exercise, the data acquisition module 1201 in electronic scale 200 can also send them to electronic device 300 via communication module 1202. In other embodiments, the data acquisition module 1101 in electronic device 100 and the data acquisition module 1201 in electronic scale 200 can also receive and respond to measurement requests (or acquisition requests) sent by electronic device 300, acquiring physiological signals before and / or after user exercise.

[0455] Understandable, Figure 12The embodiments shown are merely examples. In the embodiments of this application, the measurement system 20 may also include more, fewer, or different functional modules than those in the above embodiments. In addition, any of the above modules may be divided into multiple modules, or any of the above modules may be merged into one module. This application does not limit this.

[0456] For ease of subsequent description, the aforementioned electronic device 100, electronic scale 200, and electronic device 300 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-called software, entirely through hardware circuits, or partially through processor-called software with the remaining parts implemented through hardware circuits.

[0457] 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).

[0458] 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.

[0459] 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.

[0460] The following describes a possible physical structure of the electronic device 400 provided in the embodiments of this application.

[0461] For example, Figure 13 A schematic diagram of the physical structure of an electronic device 400 provided in an embodiment of this application is shown.

[0462] like Figure 13As shown, the electronic device 400 may include a processor 1401, a memory 1402, and a bus 1405. Optionally, it may also include a transmitter 1403 and a receiver 1404. The processor 1401, memory 1402, transmitter 1403, and receiver 1404 may be interconnected or interconnected via the bus 1405.

[0463] For example, memory 1402 is used to store computer programs and data of electronic device 400. Memory 1402 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).

[0464] The software or program code required for all or part of the functions of the electronic device 400 in the above method embodiments is stored in the memory 1402.

[0465] In one possible implementation, if the software or program code required for some functions is stored in the memory 1402, the processor 1401 can not only call the program code in the memory 1402 to implement some functions, but also cooperate with other components (such as the transmitter 1403 and the receiver 1404) to complete other functions described in the method embodiment (such as the function of receiving or sending data).

[0466] Transmitter 1403 and receiver 1404 are used to support electronic device 400 in communication, such as receiving or sending data or signals.

[0467] For example, processor 1401 may be a CPU, GPU, NPU, TPU, DPU, microprocessor, DSP, ASIC, FPGA, or a combination of at least two of these processor types, etc. Processor 1401 may be used to read programs stored in memory 1402 and execute operations performed by electronic device 400 in any of the above embodiments.

[0468] Figure 13 The specific operation and beneficial effects of each unit in the electronic device 400 shown can be found in the corresponding descriptions in the above method embodiments, and will not be repeated here. It should be noted that the electronic device 400 can be the electronic device 100 in the above embodiments, the electronic scale 200 in the above embodiments, or the electronic device 300 in the above embodiments.

[0469] Understandable, Figure 13 The illustrated embodiment is merely an example. In the embodiments of this application, the electronic device 400 may also include components beyond those described above. Figure 13 The embodiments shown have more, fewer, or more Figure 13 The different devices shown in the embodiments are not limited herein.

[0470] The following describes a chip system provided by an embodiment of this application.

[0471] 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.

[0472] 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.

[0473] The chip system can consist of chips or include chips and other discrete components.

[0474] 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.

[0475] 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.

[0476] 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.

[0477] 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.

[0478] The following describes the specific process of a measurement method provided in an embodiment of this application.

[0479] Figure 14 A flowchart illustrating a measurement method provided in an embodiment of this application is shown.

[0480] like Figure 14 As shown, a specific procedure for a measurement method may include the following steps:

[0481] S1401. The first electronic device acquires a first physiological signal of the user before exercise, the first physiological signal including a first photoplethysmography (PPG) signal.

[0482] The first electronic device can be either the electronic device 100 in the above embodiments or the electronic device 300 in the above embodiments.

[0483] The first PPG signal can be as described above. Figure 2 , Figure 5 or Figure 7 The PPG signal before motion in the illustrated embodiment.

[0484] The first physiological signal can be as described above. Figure 5 or Figure 7 Physiological signal 1 in the illustrated embodiment.

[0485] S1402. The first electronic device detects that the user has stopped exercising and acquires the second physiological signal after the user's exercise, the second physiological signal including the second PPG signal.

[0486] The second PPG signal can be as described above. Figure 2 , Figure 5 or Figure 7 The PPG signal after motion in the illustrated embodiment.

[0487] The second physiological signal can be as described above. Figure 5 or Figure 7 Physiological signal 2 in the illustrated embodiment.

[0488] S1403. The first electronic device outputs a first evaluation result based on a first physiological signal and a second physiological signal, the first evaluation result being used to indicate the user's cardiac pumping function.

[0489] The first assessment result can be as described above. Figure 2 , Figure 5 or Figure 7 Evaluation results in the illustrated embodiment.

[0490] In this way, the first electronic device can assess the user's cardiac function based on the first physiological signal before exercise and the second physiological signal after exercise, determine and output the user's heart pumping function, so that the user can understand his / her cardiac function in a timely manner and ensure the user's safety.

[0491] In one possible implementation, the first evaluation result is also used to indicate the user's motor function.

[0492] In this way, users can determine their motor function based on the initial assessment results, and then determine the intensity of subsequent exercise based on their own motor function, thereby improving the safety of exercise.

[0493] In one possible implementation, the first assessment results are also used to indicate the user's cardiac pumping function and / or the user's exercise function.

[0494] In one possible implementation, the first assessment result includes one or more of the following: cardiovascular capacity, exercise capacity, and exercise endurance; wherein cardiovascular capacity is used to indicate the user's ability to pump blood; exercise capacity is used to indicate the strength of the user's physical function; and exercise endurance is used to indicate the user's ability to maintain stable physical function during exercise.

[0495] In this way, users can understand their own cardiac pumping function and / or exercise function based on the initial assessment results, and determine the subsequent exercise intensity based on their own exercise function and / or cardiac pumping function to improve the safety of exercise.

[0496] In one possible implementation, after acquiring the user's first physiological signal before exercise, the method further includes: determining a first physiological parameter based on the first physiological signal, the first physiological parameter including the user's heart rate, stroke volume, and cardiac output before exercise.

[0497] The first electronic device can determine the user's first physiological parameters before exercise based on a pre-stored physiological signal processing model (such as a PPG processing model, a fusion model, etc.). It should be noted that the first physiological parameters may include heart rate and stroke volume, and optionally, cardiac output may also be included.

[0498] For example, the first physiological parameter can be as described above. Figure 2 , Figure 5 or Figure 7 Physiological parameter 1 in the illustrated embodiment.

[0499] In this way, the user's physiological parameters before exercise can be determined, and these parameters can be used as the user's physiological parameters at rest for cardiac function assessment.

[0500] In one possible implementation, the method further includes: determining a second physiological parameter based on a second physiological signal, the second physiological parameter including heart rate, stroke volume, and cardiac output after exercise.

[0501] The first electronic device can determine the user's second physiological parameters after exercise based on a pre-stored physiological signal processing model (such as a PPG processing model, a fusion model, etc.). It should be noted that the second physiological parameters may include heart rate and stroke volume, and optionally, cardiac output may also be included.

[0502] For example, the second physiological parameter can be as described above. Figure 2 , Figure 5 or Figure 7 Physiological parameter 2 in the illustrated embodiment.

[0503] This allows us to determine the user's physiological parameters after exercise and to assess cardiac function based on these parameters.

[0504] In one possible implementation, a first evaluation result is output based on a first physiological signal and a second physiological signal, specifically including: determining the first evaluation result based on the first physiological parameter and the second physiological parameter.

[0505] For example, the specific method for determining the first assessment result based on the first physiological parameter and the second physiological parameter can be referred to the above. Figure 2 Step S210 is shown. Figure 5 Step S518 and shown Figure 7For a more detailed description of step S721 shown above, please refer to the above. Figures 4A-4C The relevant details of the illustrated embodiments will not be repeated here.

[0506] In this way, after determining the first physiological parameter and the second physiological parameter, the first electronic device can complete the cardiac function assessment based on the first physiological parameter and the second physiological parameter and obtain the first assessment result.

[0507] In one possible implementation, the method further includes: acquiring a third physiological signal during user exercise, the third physiological signal including a third PPG signal; determining a third physiological parameter during exercise based on the third physiological signal, the third physiological parameter including any one or more of the following: heart rate, stroke volume, cardiac output, oxygen uptake, and calorie consumption during exercise; and outputting a first evaluation result based on the first physiological signal and the second physiological signal, specifically including: determining the first evaluation result based on the first physiological parameter, the second physiological parameter, and the third physiological parameter.

[0508] The third physiological signal may include the PPG signal during exercise (i.e., the third PPG signal), and optionally, may include more signals, such as ECG signals and / or IPG signals. For example, the third physiological parameter may be as described above. Figure 4B Physiological parameter 3 in the illustrated embodiment. The method for determining the first evaluation result based on the first, second, and third physiological parameters can also refer to the above. Figures 4B-4C The relevant descriptions in the illustrated embodiments will not be repeated here.

[0509] In this way, cardiac function can be assessed by combining the third physiological parameter during exercise, resulting in a more accurate assessment of cardiac function.

[0510] In one possible implementation, after acquiring the user's first physiological signal before exercise, the method further includes: determining whether the user has a risk of heart failure based on the first physiological signal; if there is a risk of heart failure, outputting a risk warning, which is used to inform the user of the risk of heart failure and suggest stopping exercise.

[0511] For example, the risk warning output interface can refer to the above. Figure 8H The risk warning interface shown is related to 870.

[0512] In this way, the user's risk of heart failure can be determined based on the first physiological parameters before exercise. If the risk of heart failure is found, the user can be promptly alerted to avoid strenuous exercise and improve user safety.

[0513] In one possible implementation, the method further includes: detecting that the user has started moving, and outputting a first prompt, the first prompt being used to prompt the user to start moving.

[0514] For example, the output interface of the first prompt can be Figure 9A The motion interface 900 in the illustrated embodiment.

[0515] In this way, the first prompt can notify the user that exercise has started. Optionally, the first prompt can also indicate the type of exercise. Further optionally, the first prompt can also be used to indicate one or more parameters such as exercise pace, calorie consumption, oxygen uptake, and heart rate.

[0516] In one possible implementation, the first electronic device includes a PPG module and an impedance volumetric plethysmography (IPG) sensor; the first physiological signal further includes a first IPG signal, and the second physiological signal further includes a second IPG signal; acquiring the user's first physiological signal before exercise specifically includes: acquiring the user's first PPG signal before exercise through the PPG module; acquiring the user's first IPG signal before exercise through the IPG sensor; acquiring the user's second physiological signal after exercise specifically includes: acquiring the user's second PPG signal after exercise through the PPG module; acquiring the user's second IPG signal after exercise through the IPG sensor.

[0517] The first electronic device can be an electronic device with a PPG module and an IPG sensor, such as a wearable device like a watch, bracelet, smart ring, or smart armband, or other types of electronic devices. In this case, the first electronic device can measure the PPG and IPG signals independently.

[0518] It should be noted that, in another possible implementation, when the first electronic device has a PPG module and an IPG sensor, the first electronic device can determine the composition of the first physiological signal measured before exercise and the second physiological signal measured after exercise based on the status of the PPG module and the IPG sensor and the remaining battery power. For example, when the remaining battery power of the first electronic device after exercise is less than a preset battery threshold, only the PPG signal can be measured after exercise, and the IPG signal can be omitted; or, when an IPG sensor malfunction is detected, the IPG signal can be omitted, etc., which are not limited herein.

[0519] In this way, the composition of the first physiological signal and / or the second physiological signal can be determined based on the actual application scenario, so as to adapt to different application scenarios and increase the flexibility of the method.

[0520] In one possible implementation, the first physiological signal further includes a first cardiac impact BCG signal; the second physiological signal further includes a second BCG signal; the method further includes: establishing a communication connection with a second electronic device; acquiring the user's first physiological signal before exercise, further including: outputting a second prompt, the second prompt being used to prompt the user to use the second electronic device to measure the BCG signal before exercise; receiving the user's first BCG signal before exercise sent by the second electronic device; acquiring the user's second physiological signal after exercise, further including: outputting a third prompt, the third prompt being used to prompt the user to use the second electronic device to measure the BCG signal after exercise; receiving the user's second BCG signal after exercise sent by the second electronic device.

[0521] For example, the second prompt could be as described above. Figure 8F Measurement prompt 851 in the illustrated embodiment; the third prompt may be as described above. Figure 9B Measurement prompt 911 in the illustrated embodiment.

[0522] The second electronic device can be an electronic device with a BCG sensor, such as an electronic scale 200. When the first electronic device and the second electronic device establish a communication connection, the first electronic device can acquire the BCG signals measured by the second electronic device before and after exercise, and combine the BCG signals before and after exercise to complete the cardiac function assessment, thereby improving the accuracy of the cardiac function assessment results.

[0523] In one possible implementation, the first electronic device includes a PPG module; the first physiological signal further includes a first IPG signal and / or a first pressure BCG signal; the second physiological signal further includes a second IPG signal and / or a second BCG signal; the method further includes: establishing a communication connection with the second electronic device; acquiring the user's first physiological signal before exercise, specifically including: acquiring the user's first PPG signal before exercise through the PPG module; outputting a fourth prompt, the fourth prompt being used to prompt the user to use the second electronic device to measure the IPG signal and / or BCG signal before exercise; receiving the first IPG signal and / or the first BCG signal sent by the second electronic device; acquiring the user's second physiological signal after exercise, specifically including: acquiring the user's second PPG signal after exercise through the PPG module; outputting a fifth prompt, the fifth prompt being used to prompt the user to use the second electronic device to measure the IPG signal and / or BCG signal after exercise; receiving the second IPG signal and / or the second BCG signal sent by the second electronic device.

[0524] The first electronic device can be an electronic device with a PPG module, such as electronic device 100 in the above embodiment. The second electronic device can be an electronic device with a BCG sensor and / or an IPG sensor, such as an electronic scale 200, or other types of electronic devices. When the first electronic device and the second electronic device establish a communication connection, the first electronic device can acquire the BCG and / or IPG signals measured by the second electronic device before and after exercise, and combine the BCG and / or IPG signals before and after exercise to complete the cardiac function assessment, thereby improving the accuracy of the cardiac function assessment results.

[0525] In one possible implementation, the method further includes: establishing a communication connection between the first electronic device and the third electronic device; acquiring the user's first physiological signal before exercise, specifically including: sending a first acquisition request to the third electronic device, the first acquisition request being used to request the acquisition of a first PPG signal; receiving the first PPG signal sent by the third electronic device; acquiring the user's second physiological signal after exercise, specifically including: sending a second acquisition request to the third electronic device, the second acquisition request being used to request the acquisition of a second PPG signal; receiving the second PPG signal sent by the third electronic device.

[0526] The first electronic device can be a smartphone, tablet, laptop, or other electronic device, such as electronic device 300. The second electronic device can be an electronic device with a BCG sensor and / or an IPG sensor, such as an electronic scale 200, or other types of electronic devices. The third electronic device can be an electronic device with a PPG module, such as electronic device 100 in the above embodiment. When the first electronic device and the second electronic device establish a communication connection, the first electronic device can acquire the BCG signal and / or IPG signal before and after exercise measured by the second electronic device; when the first electronic device and the third electronic device establish a communication connection, the first electronic device can acquire the PPG signal before and after exercise measured by the third electronic device (optionally, also including ECG signal); then, the first electronic device can complete the cardiac function assessment based on the physiological signals measured by the second and third electronic devices to obtain a first assessment result.

[0527] In this way, the first electronic device can combine physiological signals measured by multiple electronic devices to complete the cardiac function assessment, increasing the diversity of physiological signals and thus improving the accuracy of the cardiac function assessment.

[0528] In one possible implementation, the first physiological signal further includes a first BCG signal and / or a first IPG signal; the second physiological signal further includes a second BCG signal and / or a second IPG signal; the method further includes: establishing a communication connection between the first electronic device and the second electronic device; acquiring the user's first physiological signal before exercise, further including: outputting a sixth prompt, the sixth prompt being used to prompt the user to use the second electronic device to measure the IPG signal and / or BCG signal before exercise; receiving the first BCG signal and / or the first IPG signal sent by the second electronic device; acquiring the user's second physiological signal after exercise, further including: outputting a seventh prompt, the seventh prompt being used to prompt the user to use the second electronic device to measure the IPG signal and / or BCG signal after exercise; receiving the second BCG signal and / or the second IPG signal sent by the second electronic device.

[0529] In this way, a sixth prompt can remind the user to use the second electronic device to measure the BCG and / or IPG signals before exercise; a seventh prompt can also remind the user to use the second electronic device to measure the BCG and / or IPG signals after exercise; thus preventing the user from forgetting to measure the BCG and / or IPG signals.

[0530] In one possible implementation, before acquiring the user's first physiological signal before exercise, the method further includes: receiving a first operation from the user; acquiring the user's first physiological signal before exercise specifically includes: in response to the first operation, acquiring the user's first physiological signal before exercise.

[0531] In this way, the user's first action can be used as a trigger condition to obtain the user's first physiological signal before exercise.

[0532] In one possible implementation, detecting that the user has started moving specifically includes: receiving an operation from the user to start moving; or, detecting that the user's moving speed is greater than a speed threshold.

[0533] In this way, it is possible to determine whether a user has started moving based on the user's speed or the user's actions.

[0534] In one possible implementation, detecting that the user has ended their movement specifically includes: receiving an operation from the user to close the movement state; or, detecting that the user's movement speed is less than or equal to a speed threshold.

[0535] In this way, it is possible to determine whether a user has ended their workout based on their speed or actions.

[0536] In one possible implementation, before the first electronic device establishes a communication connection with the second electronic device, the method further includes: obtaining a first location of the first electronic device; and determining, based on the first location, that a second electronic device exists near the first electronic device.

[0537] In this way, it can be determined whether a second electronic device can be connected based on the location of the first electronic device.

[0538] The various embodiments of this application can be combined arbitrarily to achieve different technical effects.

[0539] 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)).

[0540] 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.

[0541] 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: Acquire the user's first physiological signal before exercise, the first physiological signal including the first photoplethysmography (PPG) signal; The system detects that the user has stopped exercising and acquires the second physiological signal after the user's exercise, which includes the second PPG signal. Based on the first physiological signal and the second physiological signal, a first evaluation result is output, which is used to indicate the user's cardiac pumping function.

2. The method according to claim 1, characterized in that, The first assessment result is also used to indicate the user's motor function.

3. The method according to claim 2, characterized in that, The first assessment result includes any one or more of the following: cardiovascular capacity, exercise capacity, and exercise endurance; wherein, the cardiovascular capacity is used to indicate the user's heart pumping ability; the exercise capacity is used to indicate the strength of the user's physical function; and the exercise endurance is used to indicate the user's ability to maintain stable physical function during exercise.

4. The method according to any one of claims 1-3, characterized in that, After acquiring the user's first physiological signal before exercise, the method further includes: Based on the first physiological signal, a first physiological parameter is determined, which includes the user's heart rate, stroke volume, and cardiac output before exercise.

5. The method according to claim 4, characterized in that, The method further includes: The second physiological parameter is determined based on the second physiological signal. The second physiological parameter includes heart rate, stroke volume, and cardiac output after exercise.

6. The method according to claim 5, characterized in that, The step of outputting a first evaluation result based on the first physiological signal and the second physiological signal specifically includes: The first evaluation result is determined based on the first physiological parameter and the second physiological parameter.

7. The method according to any one of claims 1-6, characterized in that, After acquiring the user's first physiological signal before exercise, the method further includes: Based on the first physiological signal, determine whether the user is at risk of heart failure; If there is a risk of heart failure, a risk warning will be output, which will alert the user to the risk of heart failure and suggest that they stop exercising.

8. The method according to any one of claims 1-7, characterized in that, The method further includes: Upon detecting that the user has started exercising, a first prompt is output, which is used to prompt the user to start exercising.

9. The method according to any one of claims 1-8, characterized in that, The first electronic device includes a PPG module and an impedance volumetric plethysmography (IPG) sensor; the first physiological signal further includes a first IPG signal, and the second physiological signal further includes a second IPG signal; The acquisition of the user's first physiological signal before exercise specifically includes: The PPG module acquires the user's first PPG signal before exercise. The IPG sensor acquires the user's first IPG signal before exercise; The acquisition of the second physiological signal after the user's exercise specifically includes: The second PPG signal of the user after exercise is obtained through the PPG module; The second IPG signal of the user after exercise is acquired through the IPG sensor.

10. The method according to claim 9, characterized in that, The first physiological signal also includes a first cardiac impact BCG signal; the second physiological signal also includes a second BCG signal; The method further includes: Establish a communication connection with the second electronic device; The acquisition of the user's first physiological signal before exercise also includes: A second prompt is output, which prompts the user to use the second electronic device to measure the BCG signal before exercise. Receive the first BCG signal sent by the second electronic device before the user moves; The acquisition of the second physiological signal after the user's exercise also includes: A third prompt is output, which prompts the user to use the second electronic device to measure the BCG signal after exercise. Receive the second BCG signal sent by the second electronic device after the user has moved.

11. The method according to any one of claims 1-8, characterized in that, The first electronic device includes a PPG module; the first physiological signal further includes a first IPG signal and / or a first pressure BCG signal; the second physiological signal further includes a second IPG signal and / or a second BCG signal. The method further includes: Establish a communication connection with the second electronic device; The acquisition of the user's first physiological signal before exercise specifically includes: The PPG module acquires the user's first PPG signal before exercise. Output a fourth prompt, which prompts the user to use the second electronic device to measure the IPG signal and / or BCG signal before exercise; Receive the first IPG signal and / or the first BCG signal sent by the second electronic device; The acquisition of the second physiological signal after the user's exercise specifically includes: The second PPG signal of the user after exercise is obtained through the PPG module; The fifth prompt is output to prompt the user to use the second electronic device to measure the IPG signal and / or BCG signal after the exercise; Receive the second IPG signal and / or the second BCG signal sent by the second electronic device.

12. The method according to any one of claims 1-8, characterized in that, The method further includes: The first electronic device establishes a communication connection with the third electronic device; The acquisition of the user's first physiological signal before exercise specifically includes: Send a first acquisition request to the third electronic device, wherein the first acquisition request is used to request acquisition of the first PPG signal; Receive the first PPG signal sent by the third electronic device; The acquisition of the second physiological signal after the user's exercise specifically includes: Send a second acquisition request to the third electronic device, the second acquisition request being used to request acquisition of the second PPG signal; Receive the second PPG signal sent by the third electronic device.

13. The method according to claim 12, characterized in that, The first physiological signal further includes a first BCG signal and / or a first IPG signal; the second physiological signal further includes a second BCG signal and / or a second IPG signal. The method further includes: The first electronic device establishes a communication connection with the second electronic device; The acquisition of the user's first physiological signal before exercise also includes: A sixth prompt is output, which prompts the user to use the second electronic device to measure the IPG signal and / or BCG signal before the exercise. Receive the first BCG signal and / or the first IPG signal sent by the second electronic device; The acquisition of the second physiological signal after the user's exercise also includes: A seventh prompt is output, which prompts the user to use a second electronic device to measure the IPG signal and / or BCG signal after the exercise. Receive the second BCG signal and / or the second IPG signal sent by the second electronic device.

14. 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 1-13.

15. A chip system, characterized in that, include: 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 1-13.

16. 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 1-13.

17. A computer program product, characterized in that, It includes computer instructions that, when executed by a processor, implement the measurement method according to any one of claims 1-13.

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