Detection method and wearable device

Abstract

Disclosed in the embodiments of the present application are a detection method and a wearable device. The wearable device can collect physiological data (also referred to as health data, including blood pressure, heart rate, an electrocardiogram, and blood oxygen) and exercise data (including pace, the number of steps, and a metabolic equivalent) of a user within a plurality of periods, such as before, during and after exercise, and can obtain an exercise health result of the user on the basis of the physiological data and the exercise data, so as to help the user to understand at any particular time a cardiovascular health state related to exercise in their daily life, regulate exercise intensity, and exercise scientifically and safely, thereby promoting an improvement in the cardiovascular health level.

Description

A detection method and wearable device

[0001] This application claims priority to the Chinese patent application filed with the Patent Office of China on July 31, 2023, with application number 202310957082.8 and application name “A method and device for cardiovascular risk assessment”, and the Chinese patent application filed with the State Intellectual Property Office of China on November 14, 2023, with application number 202311523217.6 and application name “A detection method and wearable device”, the entire contents of which are incorporated by reference into this application. Technical Field

[0002] The present application relates to the field of terminal technology, and in particular to a detection method and a wearable device. Background Art

[0003] With the advancement of society, cardiovascular health and other health conditions have gradually become a topic of concern in people's daily lives. Physical activity can affect people's cardiovascular health and other physical health conditions. Moderate physical activity (such as exercise) can reduce the incidence of cardiovascular disease and all-cause mortality. Conversely, physical activity that exceeds the appropriate intensity may increase the risk of serious cardiovascular events (such as sudden cardiac death and myocardial infarction). Therefore, it is particularly important to monitor cardiovascular health during physical activity.

[0004] At present, cardiopulmonary exercise testing (CPET) is usually used to detect cardiovascular health status related to exercise. CPET refers to an examination method that measures the changes in a series of indicators such as gas metabolism, heart rate, blood pressure, blood oxygen saturation and electrocardiogram in the process of the human body from a resting state to a state of maximum exertion and then returning to a resting state under a gradually increasing exercise load, records the corresponding symptoms that occur in the subject during exercise, objectively reflects the physiological and pathological changes and the degree of functional impairment that occur under different load levels, and thus comprehensively evaluates the overall function and reserve capacity of organ systems such as the heart and lungs. However, the application conditions of CPET are relatively harsh and there are many restrictions, so it cannot be used in daily life. Therefore, how to detect the user's cardiovascular health status during physical activities in daily life is an urgent problem to be solved.

[0005] Summary of the Invention

[0006] The present application provides a detection method and a wearable device. The wearable device can collect the user's physiological data (also known as health data, including blood pressure, heart rate, electrocardiogram, blood oxygen) and exercise data (including pace, number of steps, equivalent) before, during, and after exercise, and can obtain the user's exercise health results based on the above physiological data and exercise data, thereby helping the user to grasp the cardiovascular health status related to exercise in daily life at any time, adjust the exercise intensity, exercise scientifically and safely, and promote the improvement of cardiovascular health level.

[0007] In the first aspect, the present application provides a detection method, which includes: the first electronic device collects pre-exercise physiological data before the user starts a first exercise; the first electronic device collects in-exercise physiological data while the user is performing the first exercise; the first electronic device collects post-exercise physiological data after the user finishes the first exercise; the first electronic device obtains the user's exercise health results based on the pre-exercise physiological data, the in-exercise physiological data, and the post-exercise physiological data, and outputs the exercise health results.

[0008] The first electronic device may be the electronic device 100 (ie, a wearable device), and the first motion may be the motion pattern shown in FIG. 8B or FIG. 8C .

[0009] By implementing the method provided in the first aspect, it is possible to detect the user's exercise health results, thereby realizing exercise safety monitoring for people at risk of hypertension, and providing timely advice or warnings during and after the user's exercise; it is also possible to enable the user to know the potential risks in a timely manner and take active intervention measures to avoid the occurrence of cardiovascular risk events caused by excessive exercise intensity; it is also possible to enable the user to understand the exercise capacity of their own cardiopulmonary system, which helps the user to reasonably increase the intensity of exercise and ensure the effectiveness of exercise.

[0010] In combination with the first aspect, in some embodiments, the method also includes: the first electronic device displays a first report for describing the exercise health results, and sends the exercise health results to the second electronic device, so that the second electronic device displays a second report for describing the exercise health results; wherein the content of the first report is less than the content of the second report.

[0011] Among them, the second electronic device can be an electronic device 200 (i.e., a smart terminal device, such as a mobile phone), the first report can be a report displayed by the user interface 1100 shown in Figure 11A, and the second report can be a report displayed by the user interface 1110 shown in Figure 11B.

[0012] In this way, the first electronic device can display a brief report of the user's exercise health results, and can also send the exercise health results to the second electronic device so that the second electronic device can display a detailed report of the user's exercise health results, thereby allowing the user to view the exercise health results on both the first electronic device and the second electronic device, thereby improving the user experience.

[0013] In combination with the first aspect, in some embodiments, the method also includes: the first electronic device collects pre-exercise physiological data before the user starts the first exercise, and transmits the pre-exercise physiological data to the second electronic device; the first electronic device collects in-exercise physiological data while the user is performing the first exercise, and transmits the in-exercise physiological data to the second electronic device; the first electronic device collects post-exercise physiological data after the user finishes the first exercise, and transmits the post-exercise physiological data to the second electronic device; the second electronic device obtains the user's exercise health results based on the pre-exercise physiological data, the in-exercise physiological data, and the post-exercise physiological data, and outputs the exercise health results.

[0014] In this way, the first electronic device can establish a communication connection with the second electronic device and synchronously send the collected pre-exercise physiological data, during-exercise physiological data, and post-exercise physiological data to the second electronic device via the communication connection. The second electronic device can obtain the user's exercise health results based on the above physiological data and output the exercise health results.

[0015] In combination with the first aspect, in some embodiments, the first electronic device includes a wearable device, and the display screen of the second electronic device is larger than the display screen of the first electronic device.

[0016] In this way, the second electronic device can better display a detailed report of the user's exercise health results.

[0017] In combination with the first aspect, in some embodiments, the method also includes: the first electronic device displays a first prompt while the user is performing the first exercise, the first prompt being used to indicate health abnormalities of the user during the first exercise, and the first prompt being generated based on physiological data during the exercise, or based on physiological data before the exercise and physiological data during the exercise.

[0018] The first prompt may be prompt information in the user interface 930 shown in FIG. 9C or the user interface 940 shown in FIG. 9D .

[0019] In this way, it is possible to monitor the exercise safety of people at risk of hypertension and provide timely advice or warnings during users' exercise.

[0020] In combination with the first aspect, in some embodiments, health abnormalities include one or more of the following: abnormally high blood pressure, abnormally low blood pressure, slow reaction, arrhythmia, abnormal ST segment changes, and abnormally low blood oxygen.

[0021] In combination with the first aspect, in some embodiments, the exercise health results include blood pressure assessment results, which are generated based on pre-exercise physiological data, during-exercise physiological data, post-exercise physiological data, or based on pre-exercise physiological data and post-exercise physiological data.

[0022] In combination with the first aspect, in some embodiments, the exercise health results include cardiovascular risk prediction, which is generated based on two or three of pre-exercise physiological data, during-exercise physiological data, and post-exercise physiological data, as well as one or more of exercise pattern, pre-exercise questionnaire, and post-exercise questionnaire.

[0023] In combination with the first aspect, in some embodiments, the process of the user performing the first exercise includes an exercise break during which the user performs the first exercise.

[0024] In combination with the first aspect, in some embodiments, before collecting pre-exercise physiological data, the method also includes: the first electronic device obtains the user's exercise pattern, and selects an algorithm model for analyzing exercise health results based on the exercise pattern; wherein the exercise pattern includes a first exercise; the first electronic device obtains the user's exercise health results based on the pre-exercise physiological data, the during-exercise physiological data, and the post-exercise physiological data, specifically including: the first electronic device uses the algorithm model to analyze the pre-exercise physiological data, the during-exercise physiological data, and the post-exercise physiological data to obtain the user's exercise health results.

[0025] In this way, the first electronic device can use the algorithm model corresponding to the first movement to analyze the physiological data before exercise, during exercise, and after exercise to obtain the user's exercise health results, so that the user's exercise health results obtained are more accurate and more in line with the user's actual situation.

[0026] In combination with the first aspect, in some embodiments, the first electronic device obtains the user's motion pattern, specifically including: the first electronic device obtains the motion pattern based on the user's input; or, the first electronic device collects the user's motion data when starting the first motion, and then determines the motion pattern based on the motion data.

[0027] In this way, the first electronic device can obtain the user's motion mode through two methods: through user input or by analyzing the collected motion data. Determining the user's motion mode through the motion data collected by the first electronic device can reduce the user's input operations and eliminate the need for the user to manually select the motion mode, thereby improving the user experience.

[0028] In combination with the first aspect, in some embodiments, the method also includes: if it is detected that the physiological data during exercise deviates from the user's normal physiological data, the first electronic device displays a first user interface, the first user interface includes a second prompt, and the second prompt is used to indicate the risks involved when the user performs the first exercise; wherein the normal physiological data is a reference value of the physiological data of the user when performing the first exercise determined based on the physiological data before exercise.

[0029] The first user interface may be the user interface 930 shown in FIG. 9C or the user interface 940 shown in FIG. 9D .

[0030] In this way, the more the physiological data during exercise in the exercise mode deviates from the normal physiological data, the higher the risk level of the user in performing the first exercise. Further, exercise safety monitoring can be achieved for people at risk of hypertension, and timely advice or warnings can be given during the user's exercise.

[0031] In combination with the first aspect, in some embodiments, the exercise health result further includes a first assessment, and the first assessment is used to provide exercise recommendations for the user to perform a first exercise.

[0032] In combination with the first aspect, in some embodiments, the method also includes: the first electronic device obtains the exercise health results of the user in different exercise states during the first exercise based on the exercise data and physiological data during the first exercise, and the first evaluation is specifically used to indicate whether the exercise state is suitable or unsuitable for the user in different exercise states.

[0033] In this way, the first electronic device can obtain the user's exercise health results when the user is in different exercise states based on the physiological data and exercise data during exercise, so as to obtain exercise health suggestions for the user during exercise, and further enable the user to understand the exercise capacity of his or her own cardiopulmonary system, which helps the user to reasonably increase the intensity of exercise and ensure the effectiveness of exercise.

[0034] In combination with the first aspect, in some embodiments, the method also includes: the first electronic device obtains exercise recommendations before the start of the first exercise based on historical physiological data and historical motion data, the historical physiological data includes physiological data collected before the start of the last exercise of the first exercise, physiological data collected during the last exercise, and physiological data collected after the end of the last exercise, the historical motion data includes motion data of the last exercise, and the exercise recommendation before the start of the first exercise includes a second evaluation, and the second evaluation is used to indicate whether the user is suitable or not suitable for the first exercise.

[0035] The second assessment may be the exercise health advice before exercise as shown in FIG7A .

[0036] In this way, the first electronic device can obtain pre-exercise health advice based on historical physiological data and historical exercise data, so that it can provide advice or warnings on the exercise mode selected by the user and the physiological data that the user should pay attention to during the exercise before the user exercises, avoiding the occurrence of cardiovascular risk events due to the user being unsuitable for the selected exercise mode.

[0037] In combination with the first aspect, in some embodiments, physiological data during exercise include one or more of the following: heart rate, blood pressure, electrocardiogram, and blood oxygen; the first electronic device collects physiological data during exercise while the user performs the first exercise, specifically including: the first electronic device displays a second user interface while the user performs the first exercise, and the second user interface includes: exercise data and heart rate of the user during the first exercise; the second user interface also includes an exercise pause control; the first electronic device detects that the user clicks the exercise pause control, pauses collecting exercise data, and displays a third user interface; the third user interface includes one or more of the following options: blood pressure measurement option, electrocardiogram collection option, and blood oxygen measurement option.

[0038] The second user interface may be the user interface 910 shown in FIG. 9A , and the third user interface may be the user interface 920 shown in FIG. 9B .

[0039] In this way, the first electronic device can be triggered to collect physiological data during the user's exercise based on the user's input.

[0040] In combination with the first aspect, in some embodiments, after the user finishes the first exercise specifically refers to before the first time period after the user finishes the first exercise.

[0041] The first duration may be a duration greater than or equal to a duration of an exercise recovery period, where the duration of the exercise recovery period is a duration for the physiological data to gradually return to a resting level after exercise.

[0042] In combination with the first aspect, in some embodiments, post-exercise physiological data includes one or more of the following: heart rate, blood pressure, electrocardiogram, and blood oxygen; the first electronic device collects post-exercise physiological data after the user finishes the first exercise, specifically including: the second user interface also includes an exercise end control; the first electronic device detects that the user clicks the exercise end control, ends collecting exercise data, and displays a fourth user interface; the fourth user interface includes a countdown control, and the duration of the countdown control is set to a second duration, which is less than or equal to the first duration; when the countdown control ends, the first electronic device displays a fifth user interface, and the fifth user interface includes one or more of the following options: blood pressure measurement option, heart rate measurement option, electrocardiogram collection option, and blood oxygen measurement option.

[0043] The second duration may be a duration that is less than or equal to the first duration, and the fourth user interface may be the user interface 1020 shown in FIG. 10B .

[0044] In this way, the first electronic device can be triggered to collect post-exercise physiological data based on the user's input after the user exercises.

[0045] In combination with the first aspect, in some embodiments, outputting exercise health results specifically includes: displaying one or more of the following risk factor items: risk factor items assessed based on physiological data during exercise, and risk factor items assessed based on physiological data after exercise; displaying the comprehensive risk level of the user performing the first exercise, and the comprehensive risk level is determined based on the risk level of the risk factor items assessed based on physiological data during exercise and the risk level of the risk factor items assessed based on physiological data after exercise.

[0046] In this way, it is possible to focus on presenting the user's sports health results from aspects such as risk level and risk factors.

[0047] In the second aspect, the present application provides a sports health detection method, which is applied to a first communication system, which includes a first electronic device and a second electronic device. The method includes: the first electronic device collects first physiological data before the user starts the first exercise, and transmits the first physiological data to the second electronic device; the first electronic device collects second physiological data during the user's first exercise, and transmits the second physiological data to the second electronic device; the first electronic device collects third physiological data after the user finishes the first exercise, and transmits the third physiological data to the second electronic device; the second electronic device obtains the user's sports health status based on analysis of the first physiological data, the second physiological data, and the third physiological data, and displays the sports health status, which includes a first evaluation and a second evaluation. The first evaluation is used to indicate exercise recommendations for the user to perform the first exercise, and the second evaluation is used to indicate the user's physical health recovery after the first exercise.

[0048] Among them, the first communication system can be the communication system shown in Figure 2, the first electronic device can be the electronic device 100 (that is, a wearable device), the second electronic device can be the electronic device 200 (that is, a smart terminal device, such as a mobile phone), the first movement can be the movement pattern shown in Figure 8B or Figure 8C, the first physiological data can be physiological data before exercise, the second physiological data can be physiological data during exercise, the third physiological data can be physiological data after exercise, the first evaluation can be the exercise health advice during exercise shown in Figure 7B, and the second evaluation can be the exercise health advice after exercise shown in Figure 7C.

[0049] By implementing the method provided in the first aspect, it is possible to detect the user's exercise health status, thereby realizing exercise safety monitoring for people at risk of hypertension, and providing timely advice or warnings during and after exercise; it is also possible to enable users to know potential risks in a timely manner and take active intervention measures to avoid the occurrence of cardiovascular risk events caused by excessive exercise intensity; it is also possible to enable users to understand the exercise capacity of their own cardiopulmonary system, which helps users to reasonably increase exercise intensity and ensure exercise effectiveness.

[0050] In combination with the second aspect, in some embodiments, after displaying the sports health status, the method further includes: the second electronic device sends the analyzed sports health status of the user to the first electronic device, and the first electronic device displays the sports health status.

[0051] In this way, after displaying the user's sports health status, the second electronic device can send the analyzed sports health status to the first electronic device, so that the first electronic device can also display the user's sports health status, thereby allowing the user to view the sports health status on both the first electronic device and the second electronic device, thereby improving the user experience.

[0052] In combination with the second aspect, in some embodiments, the first electronic device includes a wearable device, and the display screen of the second electronic device is larger than the display screen of the first electronic device.

[0053] In this way, the second electronic device can better display the user's sports health status.

[0054] In combination with the second aspect, in some embodiments, the process of the user performing the first exercise includes an exercise break during which the user performs the first exercise.

[0055] In combination with the second aspect, in some embodiments, before collecting the first physiological data, the method also includes: the first electronic device obtains the user's motion pattern; the second electronic device selects an algorithm model for analyzing the motion health status based on the motion pattern; wherein the motion pattern includes the first motion; the second electronic device obtains the user's motion health status based on the analysis of the first physiological data, the second physiological data, and the third physiological data, specifically including: the second electronic device uses the algorithm model to analyze the first physiological data, the second physiological data, and the third physiological data to obtain the user's motion health status.

[0056] In this way, the second electronic device can use the algorithm model corresponding to the first movement to analyze the first physiological data, the second physiological data, and the third physiological data to obtain the user's exercise health status, so that the obtained user's exercise health status is more accurate and more in line with the user's actual situation.

[0057] In combination with the second aspect, in some embodiments, the first electronic device obtains the user's motion pattern, specifically including: the first electronic device obtains the motion pattern based on the user's input; or, the first electronic device collects the user's motion data when starting the first motion, and then obtains the motion pattern based on the motion data analysis.

[0058] In this way, the first electronic device can obtain the user's motion mode through two methods: through user input or by analyzing the collected motion data. Obtaining the user's motion mode by analyzing the collected motion data by the first electronic device can reduce the user's input operations and eliminate the need for the user to manually select the motion mode, thereby improving the user experience.

[0059] In combination with the second aspect, in some embodiments, the first assessment is determined based on the first physiological data and the second physiological data. If the second physiological data deviates from the user's normal physiological data, the first assessment is used to indicate that the user is not suitable for the first exercise; otherwise, the first assessment is used to indicate that the user is suitable for the first exercise; wherein the normal physiological data is a reference value of the physiological data of the user when performing the first exercise determined based on the first physiological data.

[0060] In this way, the second electronic device can determine whether the second physiological data deviates from the user's normal physiological data based on the first physiological data and the second physiological data, thereby obtaining an evaluation result of whether the user is suitable for the first exercise.

[0061] In combination with the second aspect, in some embodiments, the degree to which the second physiological data deviates from the normal physiological data in the exercise mode is used to indicate the risk level of the user performing the first exercise.

[0062] In this way, the more the second physiological data deviates from the normal physiological data in the exercise mode, the higher the risk level of the user in performing the first exercise. Further, exercise safety monitoring can be achieved for people at risk of hypertension, and timely advice or warnings can be given during the user's exercise.

[0063] In combination with the second aspect, in some embodiments, after the second physiological data deviates from the user's normal physiological data, the method also includes: displaying a first user interface, the first user interface including prompt information, the prompt information being used to remind the user of the risks involved in performing the first exercise; the first user interface also includes one or more of the following options: a blood pressure measurement option, an electrocardiogram acquisition option.

[0064] The first user interface may be the user interface 930 shown in FIG. 9C .

[0065] In this way, the first electronic device can trigger an abnormal event reminder after detecting that the second physiological data deviates from the user's normal physiological data during exercise, so that the user can be aware of the potential risks in time and take active intervention measures to avoid the occurrence of cardiovascular risk events due to excessive exercise intensity.

[0066] In combination with the second aspect, in some embodiments, before transmitting the second physiological data to the second electronic device, the method further includes: the first electronic device collects motion data during the user's first motion, and transmits the motion data to the second electronic device.

[0067] In this way, the user's motion data can be collected during exercise, so that the second electronic device can combine the motion data with the second physiological data for analysis to obtain exercise health recommendations for the user during exercise. The second electronic device can also combine the motion data with the first, second, and third physiological data for analysis to obtain exercise health recommendations and cardiovascular risk assessment results for the user after exercise.

[0068] In combination with the second aspect, in some embodiments, after transmitting the second physiological data to the second electronic device, the method also includes: the second electronic device obtains the exercise health status of the user in different exercise states during the first exercise based on analysis of the exercise data and the second physiological data, and the first evaluation is used to indicate the exercise state that is suitable or unsuitable for the user in different exercise states.

[0069] In this way, the second electronic device can obtain the user's exercise health status when in different exercise states based on the second physiological data and exercise data analysis, so as to obtain exercise health suggestions for the user during exercise, and further enable the user to understand the exercise capacity of his or her own cardiopulmonary system, which helps the user to reasonably increase the intensity of exercise and ensure the effectiveness of exercise.

[0070] In combination with the second aspect, in some embodiments, after the first electronic device obtains the user's motion pattern, the method also includes: the second electronic device obtains motion recommendations before the start of the first motion based on historical physiological data and historical motion data analysis, the historical physiological data includes physiological data collected before the start of the last motion of the first motion, physiological data collected during the last motion, and physiological data collected after the end of the last motion, the historical motion data includes motion data of the last motion, and the motion recommendation before the start of the first motion includes a third evaluation, and the third evaluation is used to indicate whether the user is suitable or not suitable for the first motion.

[0071] The third assessment may be the pre-exercise health advice as shown in FIG7A .

[0072] In this way, the second electronic device can obtain pre-exercise health advice based on historical physiological data and historical exercise data analysis, so that it can provide advice or warnings on the exercise mode selected by the user and the physiological data that the user should pay attention to during the exercise before the user exercises, avoiding the occurrence of cardiovascular risk events due to the user being unsuitable for the selected exercise mode.

[0073] In combination with the second aspect, in some embodiments, the first electronic device collects the first physiological data before the user starts the first exercise, specifically including: the first electronic device triggers the collection of the first physiological data based on the user's input, or the first electronic device collects the first physiological data when it detects that the user is in a non-exercise state.

[0074] In this way, the first electronic device can trigger the collection of the first physiological data based on the user's input before the user exercises, or collect the first physiological data when it is detected that the user is in a non-exercise state, thereby improving the user experience.

[0075] In combination with the second aspect, in some embodiments, the first electronic device collects the second physiological data while the user performs the first exercise, specifically including: the first electronic device triggers the collection of the second physiological data based on the user's input, or the first electronic device collects the second physiological data when it detects that the user is in a state of motion.

[0076] In this way, the first electronic device can collect the second physiological data based on the user's input trigger during the user's exercise or collect the second physiological data when it is detected that the user is in a state of exercise, thereby improving the user experience.

[0077] In combination with the second aspect, in some embodiments, the second physiological data includes one or more of the following: heart rate, blood pressure, and electrocardiogram; the first electronic device triggers the collection of the second physiological data based on the user's input, specifically including: the first electronic device displays a second user interface while the user performs the first exercise, and the second user interface includes: the user's exercise data and heart rate during the first exercise; the second user interface also includes a motion pause control; the first electronic device detects the user clicking the motion pause control, pauses the collection of motion data, and displays a third user interface; the third user interface includes one or more of the following options: blood pressure measurement option, electrocardiogram collection option.

[0078] The second user interface may be the user interface 910 shown in FIG. 9A , and the third user interface may be the user interface 920 shown in FIG. 9B .

[0079] In this way, the first electronic device can be triggered to collect the second physiological data based on the user's input during the user's movement.

[0080] In combination with the second aspect, in some embodiments, the first electronic device collects third physiological data after the user finishes the first exercise, specifically including: the first electronic device triggers the collection of the third physiological data based on the user's input, or the first electronic device collects the third physiological data after detecting that the user is at the end of the exercise.

[0081] In this way, the first electronic device can trigger the collection of the third physiological data based on the user's input after the user exercises, or collect the third physiological data after detecting that the user has finished exercising, thereby improving the user experience.

[0082] In combination with the second aspect, in some embodiments, after the user finishes the first exercise specifically refers to before the first time period after the user finishes the first exercise.

[0083] The first duration may be a duration greater than or equal to a duration of the exercise recovery period, and the duration of the exercise recovery period is a duration during which the third physiological data gradually returns to a resting level.

[0084] In combination with the second aspect, in some embodiments, the third physiological data includes one or more of the following: heart rate, blood pressure, and electrocardiogram; the first electronic device triggers the collection of the third physiological data based on the user's input, specifically including: the second user interface also includes a motion end control; the first electronic device detects the user clicking the motion end control, ends the collection of motion data, and displays the fourth user interface; the fourth user interface includes a countdown control, the duration of the countdown control is set to a second duration, and the second duration is less than or equal to the first duration; when the countdown control ends, the first electronic device displays a fifth user interface, and the fifth user interface includes one or more of the following options: blood pressure measurement option, heart rate measurement option, and electrocardiogram collection option.

[0085] The second duration may be a duration that is less than or equal to the first duration, and the fourth user interface may be the user interface 1020 shown in FIG. 10B .

[0086] In this way, the first electronic device can be triggered to collect the third physiological data based on the user's input after the user exercises.

[0087] In combination with the second aspect, in some embodiments, displaying sports health status specifically includes: displaying one or more of the following risk factor items: risk factor items evaluated based on the second physiological data, risk factor items evaluated based on the third physiological data; displaying the comprehensive risk level of the user performing the first exercise, the comprehensive risk level is determined based on the risk level of the risk factor items evaluated based on the second physiological data, and the risk level of the risk factor items evaluated based on the third physiological data.

[0088] In this way, it is possible to focus on presenting the user's sports health status from aspects such as risk level and risk factors.

[0089] In conjunction with the second aspect, in some embodiments, the first evaluation specifically includes exercise suggestions for the user while performing the first exercise, and the second evaluation specifically includes exercise suggestions for the user after finishing the first exercise.

[0090] In this way, it is possible to focus on presenting the user's sports health status from different stages.

[0091] In combination with the second aspect, in some embodiments, after displaying the exercise health status, the method further includes: displaying the exercise health status of the user performing multiple exercises, the multiple exercises including the first exercise.

[0092] In this way, it is possible to focus on presenting the user's sports health status from the perspective of measurement statistics.

[0093] In combination with the second aspect, in some embodiments, the exercise health status of multiple exercises includes one or more of the following: the number of times different risk levels occur in multiple exercises, the risk level of each exercise, and the physiological data collected during or after each exercise.

[0094] In a third aspect, the present application provides an electronic device, which includes a processor and a memory; wherein the memory is coupled to the processor, and the memory is used to store computer program code, and the computer program code includes computer instructions. When the processor executes the computer instructions, the electronic device executes any one of the methods of the above-mentioned first aspect.

[0095] In a fourth aspect, the present application provides a computer-readable storage medium, which stores a computer program or computer instructions, and the aforementioned computer program or computer instructions are executed by a processor to implement any method described in the first aspect above.

[0096] In a fifth aspect, the present application provides a computer program product. When the computer program product is executed by a processor, the method described in any one of the above first aspects will be implemented.

[0097] In a sixth aspect, the present application provides a chip comprising a processor and a memory, wherein the memory is used to store computer programs or computer instructions, and the processor is used to execute the computer programs or computer instructions stored in the memory, so that the chip executes the method described in any one of the first aspects above.

[0098] The solutions provided in the second to sixth aspects are used to implement or cooperate with the corresponding methods provided in the first aspect, and therefore can achieve the same or corresponding beneficial effects as the corresponding methods in the first aspect, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0099] FIG1 is a schematic diagram of a scenario for collecting user motion-related physiological data provided by an embodiment of the present application;

[0100] FIG2 is a schematic diagram of a communication system provided in an embodiment of the present application;

[0101] FIG3 is a schematic structural diagram of an electronic device 100 provided in an embodiment of the present application;

[0102] FIG4 is a schematic structural diagram of an electronic device 200 provided in an embodiment of the present application;

[0103] FIG5 is a schematic flow chart of a detection method provided in an embodiment of the present application;

[0104] FIG6 is a schematic diagram of a method for selecting an algorithm model corresponding to a sports pattern to analyze sports health results provided by an embodiment of the present application;

[0105] FIG7A is a schematic diagram of a method for providing exercise health advice based on an algorithm model corresponding to exercise before exercise, provided in an embodiment of the present application;

[0106] FIG7B is a schematic diagram of a method for providing exercise health advice based on a corresponding algorithm model during exercise, provided in an embodiment of the present application;

[0107] FIG7C is a schematic diagram of a method for obtaining exercise health results based on an algorithm model corresponding to the entire exercise process, provided in an embodiment of the present application;

[0108] 8A-8K are a set of interface schematic diagrams provided in an embodiment of the present application;

[0109] 9A-9D are another set of interface schematic diagrams provided in an embodiment of the present application;

[0110] 10A-10J are another set of interface schematic diagrams provided in an embodiment of the present application;

[0111] 11A-11B are another set of interface schematic diagrams provided in an embodiment of the present application;

[0112] 12A-12C are another set of interface schematic diagrams provided in an embodiment of the present application;

[0113] 13A-13D are another set of interface schematic diagrams provided in an embodiment of the present application;

[0114] FIG14 is a diagram showing a relationship curve between pulse wave velocity and age and a user's position in a crowd, provided by an embodiment of the present application;

[0115] FIG15 is a schematic diagram of a fitting curve of the relationship between blood pressure and heart rate provided in an embodiment of the present application. DETAILED DESCRIPTION

[0116] The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments and are not intended to limit the present application.

[0117] Physical activity can influence a person's cardiovascular health and other health conditions. Moderate physical activity (such as exercise) can improve cardiopulmonary endurance and reduce the incidence of cardiovascular disease and all-cause mortality. Although the absolute risk is low, physical activity exceeding the appropriate intensity may also increase the risk of adverse cardiovascular events (such as sudden cardiac death and myocardial infarction).

[0118] Currently, exercise-related cardiovascular health is typically assessed through cardiopulmonary exercise testing (CPET). CPET involves measuring changes in a series of parameters, including gas metabolism, heart rate, blood pressure, oxygen saturation, and electrocardiogram (ECG), during exercise, under gradually increasing loads, from rest to maximal exertion and then back to rest. This method records the symptoms experienced during exercise, objectively reflecting the physiological and pathological changes and degree of functional impairment at different levels of exercise, thereby comprehensively evaluating the overall function and reserve capacity of organ systems, including the heart and lungs. As an objective, quantitative, and non-invasive examination method, CPET has been used clinically for over half a century. It not only elucidates the pathophysiological mechanisms of exercise intolerance and exercise-related symptoms, but also holds significant clinical value in differential diagnosis, prognostic assessment, evaluation of the effectiveness of medical interventions, and the development of exercise prescriptions.

[0119] As can be seen from the existing solutions mentioned above, CPET has relatively stringent application requirements. It requires specialized equipment and guidance from professionals in specialized institutions to be used for exercise-related cardiovascular health monitoring, and cannot be used in daily life. Furthermore, this cardiovascular health monitoring method has many limitations and can only be performed under gradually increasing exercise loads.

[0120] Based on the above problems, the embodiments of the present application provide a detection method and a wearable device.

[0121] As shown in Figure 1, in an embodiment of the present application, the wearable device can collect the user's physiological data (also known as health data, including blood pressure, heart rate, electrocardiogram, blood oxygen) and motion data (including pace, number of steps, equivalent) before, during, and after exercise, and can obtain the user's exercise health results based on the above physiological data and motion data, thereby helping the user to grasp the cardiovascular health status related to exercise in daily life at any time, adjust the intensity of exercise, exercise scientifically and safely, and promote the improvement of cardiovascular health level.

[0122] First, a communication system and related equipment provided by an embodiment of the present application are introduced.

[0123] FIG2 exemplarily shows a communication system provided in an embodiment of the present application.

[0124] As shown in FIG. 2 , the communication system may include: an electronic device 100 (wearable device) and an electronic device 200 .

[0125] The electronic device 100 and the electronic device 200 establish a communication connection, which may be, for example, a Bluetooth (BT) communication connection, a near field communication (NFC) connection, etc., but is not limited thereto. The communication connection may also be, for example, a wireless local area network (WLAN) communication connection or a cellular mobile communication connection. If it is a WLAN communication connection or a cellular mobile communication connection, the communication connection between the electronic device 100 and the electronic device 200 may be an indirect communication connection, that is, a communication connection established through an access point (AP), etc. The AP may include but is not limited to a base station or a router.

[0126] The electronic device 100 can be used to measure physiological data through micropumps, air bags, air pressure sensors, PPG (photoplethysmography) sensors, ECG (electrocardiography, which can be equivalent to electrocardiogram in the present embodiment of the application) sensors, blood oxygen sensors, etc., and can also be used to measure motion data through acceleration sensors, gyroscope sensors, positioning sensors, timing sensors, etc. Physiological data may include but is not limited to blood pressure, heart rate, electrocardiogram, and blood oxygen. Motion data may include but is not limited to: movement speed, movement distance, movement duration, movement direction, position, altitude, pace, number of steps, and equivalent.

[0127] In some embodiments, the electronic device 100 may also be used to obtain a user's sports health result based on the measured physiological data and sports data, and output the sports health result.

[0128] In other embodiments, the electronic device 100 can establish a communication connection with the electronic device 200, and the electronic device 100 can be used to send the measured physiological data and motion data to the electronic device 200 through the communication connection between the electronic device 100 and the electronic device 200, so that the electronic device 200 can obtain the user's exercise health results.

[0129] The electronic device 200 can be used to receive physiological data and motion data from the electronic device 100, obtain the user's sports health results based on the physiological data and motion data, and display the user's sports health results through a display screen, etc. The electronic device 200 can also provide an online doctor diagnosis function, such as sending the user's physiological data and motion data to a server providing cloud diagnosis, and triggering the server to provide cloud diagnosis services.

[0130] FIG3 exemplarily shows an electronic device 100 provided in an embodiment of the present application.

[0131] The electronic device 100 can be portable and wearable by the user and is suitable for various sports scenarios, including indoor and outdoor sports. It also has the ability to monitor vital signs such as blood pressure, heart rate, and electrocardiogram, as well as sports indicators such as pace, steps, and distance. The electronic device 100 can be a smart watch, a smart bracelet, etc. The embodiments of this application do not impose any special restrictions on the specific type of electronic device 100. The embodiments of this application are only described by taking the electronic device 100 as a watch as an example.

[0132] As shown in FIG3 , the electronic device 100 may include a processor 110, a wireless communication module 111, a mobile communication module 112, a sensor module 113, a key 114, a display 115, a motor 116, an internal memory 117, a subscriber identity module (SIM) card interface 118, a universal serial bus (USB) interface 119, a power management module 120, a battery 121, and a charging management module 122. The sensor module 113 may include a touch sensor 113A, an air pressure sensor 113B, a micropump 113C, an airbag 113D, a magnetic sensor 113E, a PPG sensor 113F, an ECG sensor 113H, a gyroscope sensor 113I, an acceleration sensor 113G, a positioning sensor 113J, a timing sensor 113K, and an air path conducting component 113L.

[0133] It should be understood that the structure illustrated in the embodiments of the present invention does not constitute a specific limitation on the electronic device 100. In other embodiments of the present application, the electronic device 100 may include more or fewer components than shown, or may combine or separate certain components, or arrange the components differently. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

[0134] The processor 110 may include one or more processing units. For example, the processor 110 may include an application processor (AP), a modem processor, a graphics processing unit (GPU), an image signal processor (ISP), a controller, a video codec, a digital signal processor (DSP), a baseband processor, and / or a neural-network processing unit (NPU). The different processing units may be independent devices or integrated into one or more processors.

[0135] In some embodiments, the processor 110 may include one or more interfaces. The 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 SIM card interface, and / or a USB interface.

[0136] In some embodiments, the processor 110 may also be a microcontroller unit (MCU).

[0137] The I2C interface is a bidirectional synchronous serial bus that includes a serial data line (SDA) and a serial clock line (SCL). In some embodiments, the processor 110 may include multiple I2C bus lines. The processor 110 may be coupled to the touch sensor 113A, the power management module 120, and the like via different I2C bus interfaces. For example, the processor 110 may be coupled to the touch sensor 113A via the I2C interface, enabling communication between the processor 110 and the touch sensor 113A via the I2C bus interface, thereby implementing the touch function of the electronic device 100.

[0138] The I2S interface can be used for audio communication. The PCM interface can also be used for audio communication, sampling, quantizing, and encoding analog signals. The UART interface is a universal serial data bus used for asynchronous communication. This bus can be a bidirectional communication bus. It converts the data to be transmitted between serial communication and parallel communication. In some embodiments, the UART interface is typically used to connect the processor 110 and the wireless communication module 111. For example, the processor 110 communicates with the Bluetooth module in the wireless communication module 111 via the UART interface to implement Bluetooth functionality.

[0139] The MIPI interface can be used to connect the processor 110 to peripheral devices such as the display screen 115. MIPI interfaces include the camera serial interface (CSI) and the display serial interface (DSI). The processor 110 and the display screen 115 can communicate via the DSI interface to implement the display function of the electronic device 100.

[0140] The GPIO interface can be configured via software. It can be configured as either a control signal or a data signal. The USB interface 119 is an interface that complies with USB standards and may be a Mini USB interface, a Micro USB interface, a USB Type-C interface, or the like. The USB interface 119 can be used to connect a charger to charge the electronic device 100 and can also be used to transfer data between the electronic device 100 and peripheral devices.

[0141] It is understood that the interface connection relationship between the modules illustrated in the embodiment of the present invention is merely an illustrative illustration and does not constitute a structural limitation on the electronic device 100. In other embodiments of the present application, the electronic device 100 may also adopt different interface connection methods from the above embodiments, or a combination of multiple interface connection methods.

[0142] The charging management module 122 is configured to receive charging input from a charger. The charger can be either a wireless charger or a wired charger. In some wired charging embodiments, the charging management module 122 can receive charging input from the wired charger via the USB interface 119. In some wireless charging embodiments, the charging management module 122 can receive wireless charging input via the wireless charging coil of the electronic device 100. While charging the battery 121, the charging management module 122 can also provide power to the electronic device 100 via the power management module 120.

[0143] The power management module 120 is used to connect the battery 121, the charging management module 122, and the processor 110. The power management module 120 can receive input from the battery 121 and / or the charging management module 122 to provide power to the processor 110, the internal memory 117, the display 115, and the wireless communication module 111. The power management module 120 can also be used to monitor parameters such as battery capacity, battery cycle count, and battery health status (leakage, impedance). In some other embodiments, the power management module 120 can also be set in the processor 110. In other embodiments, the power management module 120 and the charging management module 122 can also be set in the same device.

[0144] The wireless communication function of the electronic device 100 can be implemented through the mobile communication module 112, the wireless communication module 111, the modem processor and the baseband processor.

[0145] The mobile communication module 112 can provide solutions for wireless communications including 2G / 3G / 4G / 5G applied to the electronic device 100. The mobile communication module 112 may include at least one filter, a switch, a power amplifier, a low noise amplifier (LNA), etc. The mobile communication module 112 can receive electromagnetic waves from the antenna, filter, amplify, and process the received electromagnetic waves, and transmit them to the modulation and demodulation processor for demodulation. In some embodiments, at least some of the functional modules of the mobile communication module 112 can be set in the processor 110. In some embodiments, at least some of the functional modules of the mobile communication module 112 can be set in the same device as at least some of the modules of the processor 110.

[0146] The wireless communication module 111 can provide wireless communication solutions including WLAN (such as Wi-Fi network), Bluetooth, global navigation satellite system (GNSS), frequency modulation (FM), NFC, infrared technology (IR), etc. applied to the electronic device 100. The wireless communication module 111 can be one or more devices integrating at least one communication processing module. The wireless communication module 111 receives electromagnetic waves via an antenna, frequency modulates and filters the electromagnetic wave signals, and sends the processed signals to the processor 110. The wireless communication module 111 can also receive signals to be sent from the processor 110, frequency modulate them, amplify them, and convert them into electromagnetic waves for radiation through the antenna.

[0147] The buttons 114 include a power button, a volume button, and the like. The buttons 114 may be mechanical buttons or touch buttons. The electronic device 100 may receive key inputs and generate key signal inputs related to user settings and function control of the electronic device 100.

[0148] The display screen 115 is used to display images, videos, etc. The display screen 115 may include a display panel. The display panel may be a liquid crystal display (LCD), an organic light-emitting diode (OLED), an active-matrix organic light-emitting diode (AMOLED), a flexible light-emitting diode (FLED), a quantum dot light-emitting diode (QLED), etc. In some embodiments, the electronic device 100 may include one or N display screens 115, where N is a positive integer greater than 1.

[0149] Motor 116 can generate vibration alerts. Motor 116 can be used for incoming call vibration alerts and touch vibration feedback. For example, touch operations on different applications (such as taking photos, playing audio, etc.) can correspond to different vibration feedback effects. Motor 116 can also correspond to different vibration feedback effects for touch operations on different areas of the display screen 115.

[0150] The internal memory 117 may include one or more random access memories (RAM) and one or more non-volatile memories (NVM).

[0151] Random access memory may include static random-access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM, for example, the fifth generation of DDR SDRAM is generally referred to as DDR5 SDRAM), etc.

[0152] Non-volatile memory may include disk storage devices and flash memory (FM). Flash memory may include NOR FLASH, NAND FLASH, 3D NAND FLASH, etc. according to the operating principle. It may include single-level cell (SLC), multi-level cell (MLC), triple-level cell (TLC), quad-level cell (QLC), etc. according to the storage cell potential level. It may include universal flash storage (UFS), embedded multi-media card (eMMC), etc. according to the storage specification. Random access memory can be directly read and written by the processor 110. It can be used to store executable programs (such as machine instructions) of operating systems or other running programs, and can also be used to store user and application data. Non-volatile memory can also store executable programs and user and application data, etc., and can be loaded into random access memory in advance for direct reading and writing by the processor 110.

[0153] The SIM card interface 118 is used to connect a SIM card. The SIM card can be connected to or disconnected from the electronic device 100 by inserting it into or removing it from the SIM card interface 118. The electronic device 100 can support 1 or N SIM card interfaces, where N is a positive integer greater than 1. The SIM card interface 118 can support Nano SIM cards, Micro SIM cards, SIM cards, and the like. Multiple cards can be inserted into the same SIM card interface 118 at the same time. The types of the multiple cards can be the same or different. The SIM card interface 118 can also be compatible with different types of SIM cards. The SIM card interface 118 can also be compatible with external memory cards. The electronic device 100 interacts with the network through the SIM card to implement functions such as calls and data communications. In some embodiments, the electronic device 100 uses an eSIM, i.e., an embedded SIM card. The eSIM card can be embedded in the electronic device 100 and cannot be separated from the electronic device 100.

[0154] In some embodiments, the electronic device 100 may not include the SIM card interface 118 .

[0155] The touch sensor 113A is also called a "touch device". The touch sensor 113A can be set on the display screen 115, and the touch sensor 113A and the display screen 115 form a touch screen, also called a "touch screen". The touch sensor 113A is used to detect touch operations acting on or near it. The touch sensor 113A can pass the detected touch operation to the application processor to determine the type of touch event. The touch sensor 113A can provide visual output related to the touch operation through the display screen 115. In other embodiments, the touch sensor 113A can also be set on the surface of the electronic device 100, at a different position from the display screen 115. In some embodiments, the electronic device 100 can detect touch operations in various graphical user interfaces through the touch sensor 113A, such as click operations in various graphical user interfaces (such as touch operations on controls), and for example, upward or downward sliding operations in various graphical user interfaces, and so on.

[0156] Air pressure sensor 113B is used to measure air pressure. In some embodiments of the present application, electronic device 100 can measure the air pressure in airbag 113D using air pressure sensor 113B. In some embodiments of the present application, a portion of air pressure sensor 113B is located inside airbag 113D to sense the air pressure in airbag 113D.

[0157] Micropump 113C is used for inflation and deflation. In some embodiments of the present application, electronic device 100 inflates airbag 113D via micropump 113C, where micropump 113C and airbag 113D are connected via airway conducting assembly 113L. Airbag 113D is used to compress the user's blood vessels. In some embodiments, electronic device 100 can use air pressure sensor 113B, micropump 113C, and airbag 113D to measure the user's blood pressure and pulse rate (heart rate).

[0158] The magnetic sensor 113E includes a Hall sensor. In some embodiments of the present application, the electronic device 100 can use the magnetic sensor 113E to determine whether the airbag 113D on the electronic device 100 has been removed. For example, the airbag 113D or a watch strap connected to the airbag 113D can be equipped with a magnet. The electronic device 100 can use the magnetic sensor 113E to determine the magnetic flux generated by the magnet on the airbag 113D or on the airbag 113D, thereby determining whether the airbag 113D on the electronic device 100 has been removed.

[0159] The PPG sensor 113F can be used to collect PPG signals through fluctuations generated by vasoconstriction to enable the user to obtain physiological data, including but not limited to: blood pressure, heart rate, blood oxygen, respiratory rate, blood oxygen saturation (SaO2), etc. In some embodiments, the electronic device 100 can use the PPG sensor 113F to measure the user's heart rate and heartbeat interval.

[0160] The ECG sensor 113H can be used to collect ECG signals through the fluctuations generated by cardiac contraction so that the user can obtain physiological data, including but not limited to: electrocardiogram and heart rate. In some embodiments, the electronic device 100 can use the ECG sensor 113H to measure the user's electrocardiogram and heart rate.

[0161] The gyroscope sensor 113I can be used to determine the motion posture of the electronic device 100. In some embodiments, the angular velocity of the electronic device 100 around three axes (ie, x, y, and z axes) can be determined by the gyroscope sensor 113I, and the user's motion data can be calculated.

[0162] The accelerometer 113G can detect the magnitude of the acceleration of the electronic device 100 in various directions (generally three axes) and calculate the user's motion data. It can also be used to identify the posture of the electronic device and is applied to applications such as pedometers.

[0163] In some embodiments, the electronic device 100 can detect motion gestures performed by the user holding the electronic device 100, such as shaking the electronic device, through the gyroscope sensor 113I, the acceleration sensor 113G, etc.

[0164] The positioning sensor 113J can be used to locate the orientation of the electronic device 100, and can include a satellite positioning sensor, such as the global positioning system (GPS) and Beidou, which can determine the position of the user wearing the electronic device 100 on the earth by receiving satellite signals; the positioning sensor can also include a communication positioning sensor, such as a base station, a wireless fidelity (Wi-Fi) communication module, which can provide base station positioning, Wi-Fi router positioning, etc.; in addition, the positioning sensor can also include a positioning sensor such as a magnetometer, which can measure the strength and direction of the magnetic field to determine the direction and position of the user in motion, and the motion can be, for example, walking reciprocating motion. It is easy to understand that in some embodiments, the positioning sensor 113J is not required and is optional.

[0165] The timing sensor 113K may be used to measure time, for example, to calculate the duration of a user's exercise.

[0166] Among them, the gyroscope sensor 113I, the acceleration sensor 113G, the positioning sensor 113J, and the timing sensor 113K can be collectively referred to as motion sensors. The motion sensor can be used to collect motion data and determine the user's motion state based on the collected motion data, and then determine the user's motion mode based on the user's motion state. It is easy to understand that in other embodiments of the present application, the motion sensor can include more or fewer sensors than the above sensors, and different sensor combinations can support different motion modes.

[0167] It is worth noting that the air path conducting component 113L can be a separate component, or the air path conducting component 113L can also be an air path formed by the combination of other hardware modules, or the air path conducting component 113L can also be part of other components, for example, it can be part of the micro pump 113C, or it can be part of the air bag 113D.

[0168] It is worth noting that the sensor module 113 may also include an infrared sensor, a blood oxygen sensor, etc. The blood oxygen sensor can be used to detect the oxygen partial pressure in the blood and convert it into a usable output signal. The micropump 113C can be located inside the body of the smartwatch, and the airbag 113D can be connected to the watch strap buckle. The airbag 113D is connected to the dial via an air hole cover. Correspondingly, the airbag 113D can be detachable from the watch strap or the dial.

[0169] FIG4 exemplarily shows an electronic device 200 provided in an embodiment of the present application.

[0170] The electronic device 200 may be any type of smart terminal device, and the present embodiment does not limit the specific type of the electronic device 200. For example, the electronic device 200 may be a mobile phone, a tablet computer, a desktop computer, a laptop computer, a handheld computer, a notebook computer, and the like.

[0171] As shown in Figure 4, the electronic device 200 may include a processor 210, an external memory interface 220, an internal memory 221, a USB interface 230, a charging management module 240, a power management module 241, a battery 242, an antenna 1, an antenna 2, a mobile communication module 250, a wireless communication module 260, an audio module 270, a speaker 270A, a receiver 270B, a microphone 270C, an earphone interface 270D, a sensor module 280, a button 290, a motor 291, an indicator 292, a camera 293, a display screen 294, and a SIM card interface 295, etc. The sensor module 280 may include at least one of a pressure sensor 280A, a gyroscope sensor 280B, an air pressure sensor 280C, a magnetic sensor 280D, an acceleration sensor 280E, a distance sensor 280F, a proximity light sensor 280G, a fingerprint sensor 280H, a temperature sensor 280J, a touch sensor 280K, an ambient light sensor 280L, a bone conduction sensor 280M, etc.

[0172] It should be understood that the structure illustrated in the embodiment of the present invention does not constitute a specific limitation on the electronic device 200. In other embodiments of the present application, the electronic device 200 may include more or fewer components than shown, or may combine or separate certain components, or arrange the components differently. The components shown in the figure may be implemented in hardware, software, or a combination of software and hardware.

[0173] The processor 210 may include one or more processing units. For example, the processor 210 may include an application processor, a modem processor, a graphics processor, an image signal processor, a controller, a memory, a video codec, a digital signal processor, a baseband processor, and / or a neural network processor. The different processing units may be independent devices or integrated into one or more processors. In some embodiments, the electronic device 200 may also include one or more processors 210.

[0174] The controller may be the nerve center and command center of the electronic device 200. The controller may generate an operation control signal according to the instruction operation code and the timing signal to complete the control of fetching and executing instructions.

[0175] Processor 210 may also include a memory for storing instructions and data. In some embodiments, the memory in processor 210 is a cache memory. This memory can store instructions or data that have just been used or are being recycled by processor 210. If processor 210 needs to use the instruction or data again, it can directly access the memory. This avoids repeated accesses, reduces the waiting time of processor 210, and thus improves the efficiency of electronic device 200.

[0176] In some embodiments, the processor 210 may include one or more interfaces, such as an I2C interface, an I2S interface, a PCM interface, a UART interface, a MIPI interface, a GPIO interface, a SIM card interface 295 , and / or a USB interface 230 .

[0177] The I2C interface is a bidirectional synchronous serial bus consisting of a serial data line and a serial clock line. In some embodiments, the processor 210 may include multiple I2C bus lines. The processor 210 may be coupled to the touch sensor 280K, the charger, the flash, the camera 293, and the like via different I2C bus interfaces. For example, the processor 210 may be coupled to the touch sensor 280K via the I2C interface, enabling communication between the processor 210 and the touch sensor 280K via the I2C bus interface, thereby implementing the touch function of the electronic device 200.

[0178] The I2S interface can be used for audio communication. In some embodiments, the processor 210 can include multiple I2S buses. The processor 210 can be coupled to the audio module 270 via the I2S bus to enable communication between the processor 210 and the audio module 270. In some embodiments, the audio module 270 can transmit audio signals to the wireless communication module 260 via the I2S interface, enabling the function of answering calls through a Bluetooth headset.

[0179] The PCM interface can also be used for audio communication, sampling, quantizing, and encoding analog signals. In some embodiments, the audio module 270 and the wireless communication module 260 can be coupled via a PCM bus interface. In some embodiments, the audio module 270 can also transmit audio signals to the wireless communication module 260 via the PCM interface, enabling the function of answering calls via a Bluetooth headset. Both the I2S interface and the PCM interface can be used for audio communication.

[0180] The UART interface is a universal serial data bus used for asynchronous communication. This bus can be a bidirectional communication bus. It converts the data to be transmitted between serial communication and parallel communication. In some embodiments, the UART interface is typically used to connect the processor 210 and the wireless communication module 260. For example, the processor 210 communicates with the Bluetooth module in the wireless communication module 260 via the UART interface to implement Bluetooth functionality. In some embodiments, the audio module 270 can transmit audio signals to the wireless communication module 260 via the UART interface, enabling the function of playing music through Bluetooth headphones.

[0181] The MIPI interface can be used to connect the processor 210 to peripheral devices such as the display screen 294 and the camera 293. MIPI interfaces include camera serial interfaces and display serial interfaces. In some embodiments, the processor 210 and the camera 293 communicate via the CSI interface to enable the camera function of the electronic device 200. The processor 210 and the display screen 294 communicate via the DSI interface to enable the display function of the electronic device 200.

[0182] The GPIO interface can be configured through software. The GPIO interface can be configured as a control signal or a data signal. In some embodiments, the GPIO interface can be used to connect the processor 210 to the camera 293, the display 294, the wireless communication module 260, the audio module 270, the sensor module 280, etc. The GPIO interface can also be configured as an I2C interface, an I2S interface, a UART interface, a MIPI interface, etc.

[0183] USB interface 230 is an interface that complies with USB standards and specifications, and may be a Mini USB interface, a Micro USB interface, a USB Type-C interface, or the like. USB interface 230 can be used to connect a charger to charge electronic device 200, or to transfer data between electronic device 200 and peripheral devices. It can also be used to connect headphones to play audio. This interface can also be used to connect other electronic devices, such as AR devices.

[0184] It is understood that the interface connection relationship between the modules illustrated in the embodiment of the present invention is merely an illustrative description and does not constitute a structural limitation on the electronic device 200. In other embodiments, the electronic device 200 may also adopt a different interface connection method from the above embodiment, or a combination of multiple interface connection methods.

[0185] The charging management module 240 is configured to receive charging input from a charger. The charger can be either a wireless charger or a wired charger. In some wired charging embodiments, the charging management module 240 can receive charging input from the wired charger via the USB interface 230. In some wireless charging embodiments, the charging management module 240 can receive wireless charging input via the wireless charging coil of the electronic device 200. While charging the battery 242, the charging management module 240 can also provide power to the electronic device via the power management module 241.

[0186] The power management module 241 is used to connect the battery 242, the charging management module 240, and the processor 210. The power management module 241 receives input from the battery 242 and / or the charging management module 240 and provides power to the processor 210, the internal memory 221, the external memory, the display 294, the camera 293, and the wireless communication module 260. The power management module 241 can also be used to monitor parameters such as battery capacity, battery cycle count, and battery health status (leakage, impedance). In some other embodiments, the power management module 241 can also be set in the processor 210. In other embodiments, the power management module 241 and the charging management module 240 can also be set in the same device.

[0187] The wireless communication function of the electronic device 100 can be implemented through the antenna 1, the antenna 2, the mobile communication module 250, the wireless communication module 260, the modem processor and the baseband processor.

[0188] Antenna 1 and Antenna 2 are used to transmit and receive electromagnetic wave signals. Each antenna in electronic device 200 can be used to cover a single or multiple communication frequency bands. Different antennas can also be reused to improve antenna utilization. For example, antenna 1 can be reused as a diversity antenna for a wireless local area network. In other embodiments, the antennas can be used in conjunction with a tuning switch.

[0189] The mobile communication module 250 can provide solutions for wireless communications including 2G / 3G / 4G / 5G, etc., applied to the electronic device 200. The mobile communication module 250 may include at least one filter, a switch, a power amplifier, a low-noise amplifier, etc. The mobile communication module 250 can receive electromagnetic waves from the antenna 1, filter, amplify, and process the received electromagnetic waves, and transmit them to the modem processor for demodulation. The mobile communication module 250 can also amplify the signal modulated by the modem processor and convert it into electromagnetic waves for radiation through the antenna. In some embodiments, at least some of the functional modules of the mobile communication module 250 can be set in the processor 210. In some embodiments, at least some of the functional modules of the mobile communication module 250 can be set in the same device as at least some of the modules of the processor 210.

[0190] The modem processor may include a modulator and a demodulator. The modulator is used to modulate the low-frequency baseband signal to be transmitted into a medium-high frequency signal. The demodulator is used to demodulate the received electromagnetic wave signal into a low-frequency baseband signal. The demodulator then transmits the demodulated low-frequency baseband signal to the baseband processor for processing. After being processed by the baseband processor, the low-frequency baseband signal is passed to the application processor. The application processor outputs a sound signal through an audio device (not limited to the speaker 270A, the receiver 270B, etc.) or displays an image or video through the display screen 294. In some embodiments, the modem processor may be an independent device. In other embodiments, the modem processor may be independent of the processor 210 and be set in the same device as the mobile communication module 250 or other functional modules.

[0191] The wireless communication module 260 can provide wireless communication solutions including WLAN (such as Wi-Fi network), Bluetooth, global navigation satellite system, frequency modulation, NFC, infrared technology, ultra wide band (UWB), etc. applied to the electronic device 200. The wireless communication module 260 can be one or more devices integrating at least one communication processing module. The wireless communication module 260 receives electromagnetic waves via the antenna, frequency modulates and filters the electromagnetic wave signals, and sends the processed signals to the processor 210. The wireless communication module 260 can also receive the signal to be sent from the processor 210, frequency modulate it, amplify it, and convert it into electromagnetic waves for radiation through the antenna. Exemplarily, the wireless communication module 260 may include a Bluetooth module, a Wi-Fi module, etc.

[0192] In some embodiments, a portion of the antennas of the electronic device 200 is coupled to the mobile communication module 250, and another portion of the antennas is coupled to the wireless communication module 260, so that the electronic device 200 can communicate with a network and other devices through wireless communication technologies. The wireless communication technologies 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), millimeter wave (mmWave), BT, GNSS, WLAN, NFC, FM, UWB, and / or IR technology. The GNSS may include GPS, a global navigation satellite system (GLONASS), a Beidou navigation satellite system (BDS), a quasi-zenith satellite system (QZSS) and / or a satellite based augmentation system (SBAS).

[0193] Electronic device 200 utilizes a GPU, display screen 294, and an application processor to implement display functions, such as displaying a user's fitness results report. The GPU is a microprocessor for image processing that connects display screen 294 and the application processor. The GPU is used to perform mathematical and geometric calculations for graphics rendering. Processor 210 may include one or more GPUs, which execute instructions to generate or modify display information.

[0194] Display screen 294 is used to display images, videos, and the like. Display screen 294 includes a display panel. The display panel can be an LCD, OLED, active-matrix organic light-emitting diode (AMOLED), FLED, MiniLED, MicroLED, Micro-oLED, QLED, or the like. In some embodiments, electronic device 200 may include one or N display screens 294, where N is a positive integer greater than one.

[0195] In some embodiments, the display screen 294 of the electronic device 200 is larger than the display screen 115 of the electronic device 100 .

[0196] The electronic device 200 can implement a shooting function through an ISP, a camera 293, a video codec, a GPU, a display screen 294, and an application processor.

[0197] The ISP processes data fed back by camera 293. For example, when taking a photo, the shutter is opened, and light is transmitted through the lens to the camera's photosensitive element. The light signal is converted into an electrical signal, which is then passed to the ISP for processing and transformed into a visible image. The ISP can also perform algorithmic optimization on image noise, brightness, and color. The ISP can also optimize parameters such as exposure and color temperature of the captured scene. In some embodiments, the ISP can be located within camera 293.

[0198] The camera 293 is used to capture still images or videos. The object generates an optical image through the lens and projects it onto the photosensitive element. The photosensitive element can be a charge coupled device (CCD) or a complementary metal-oxide-semiconductor (CMOS) phototransistor. The photosensitive element converts the light signal into an electrical signal, and then passes the electrical signal to the ISP for conversion into a digital image signal. The ISP outputs the digital image signal to the DSP for processing. The DSP converts the digital image signal into an image signal in a standard RGB, YUV or other format. In some embodiments, the electronic device 200 may include 1 or N cameras 293, where N is a positive integer greater than 1.

[0199] The digital signal processor is used to process digital signals. In addition to processing digital image signals, it can also process other digital signals. For example, when the electronic device 200 selects a frequency point, the digital signal processor is used to perform Fourier transform on the frequency point energy.

[0200] Video codecs are used to compress or decompress digital video. Electronic device 200 may support one or more video codecs. This allows electronic device 200 to play or record videos in various encoding formats, such as Moving Picture Experts Group (MPEG)-1, MPEG-2, MPEG-3, and MPEG-4.

[0201] The NPU is a neural network (NN) computing processor. Drawing on the structure of biological neural networks, such as the transmission patterns between neurons in the human brain, it rapidly processes input information and can continuously self-learn. The NPU can enable intelligent cognitive applications in electronic device 200, such as image recognition, face recognition, speech recognition, and text comprehension.

[0202] The external memory interface 220 can be used to connect an external memory card, such as a Micro SD card, to expand the storage capacity of the electronic device 200. The external memory card communicates with the processor 210 via the external memory interface 220 to implement data storage functions. For example, data such as music, photos, and videos can be stored on the external memory card.

[0203] The internal memory 221 can be used to store one or more computer programs, which include instructions. The processor 210 can run the above instructions stored in the internal memory 221, so that the electronic device 200 executes the data sharing method provided in some embodiments of the present application, as well as various functional applications and data processing. The internal memory 221 may include a program storage area and a data storage area. Among them, the program storage area can store an operating system; the program storage area can also store one or more applications (such as a gallery, contacts, etc.). The data storage area can store data created during the use of the electronic device 200 (such as photos, contacts, etc.). In addition, the internal memory 221 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, a universal flash storage (UFS), etc.

[0204] The electronic device 200 can implement audio functions such as music playback and recording through the audio module 270, the speaker 270A, the receiver 270B, the microphone 270C, the headphone jack 270D, and the application processor.

[0205] The audio module 270 is used to convert digital audio information into analog audio signal output, and is also used to convert analog audio input into digital audio signals. The audio module 270 can also be used to encode and decode audio signals. In some embodiments, the audio module 270 can be provided in the processor 210, or some functional modules of the audio module 270 can be provided in the processor 210.

[0206] The speaker 270A, also called a "speaker", is used to convert audio electrical signals into sound signals. The electronic device 200 can listen to music or listen to hands-free calls through the speaker 270A.

[0207] The receiver 270B, also called a "handset", is used to convert audio electrical signals into sound signals. When the electronic device 200 receives a call or a voice message, the user can place the receiver 270B close to the ear to hear the voice.

[0208] The microphone 270C, also known as a "microphone" or "microphone", is used to convert sound signals into electrical signals. When making a call or sending a voice message, the user can speak by putting their mouth close to the microphone 270C to input the sound signal into the microphone 270C. The electronic device 200 can be provided with at least one microphone 270C. In other embodiments, the electronic device 200 can be provided with two microphones 270C, which can not only collect sound signals but also realize noise reduction function. In other embodiments, the electronic device 200 can also be provided with three, four or more microphones 270C to collect sound signals, reduce noise, identify the source of sound, realize directional recording function, etc.

[0209] The headphone jack 270D is used to connect a wired headphone and can be a USB interface 230 or a 3.5mm open mobile terminal platform (OMTP) standard interface or a cellular telecommunications industry association of the USA (CTIA) standard interface.

[0210] Pressure sensor 280A is used to sense pressure signals and convert them into electrical signals. In some embodiments, pressure sensor 280A can be located on display screen 294. There are many types of pressure sensors 280A, such as resistive, inductive, and capacitive. A capacitive pressure sensor can include at least two parallel plates made of conductive material. When force is applied to pressure sensor 280A, the capacitance between the electrodes changes. Electronic device 200 determines the intensity of the pressure based on this change in capacitance. When a touch operation is applied to display screen 294, electronic device 200 detects the touch intensity based on pressure sensor 280A. Electronic device 200 can also calculate the touch location based on the detection signal from pressure sensor 280A. In some embodiments, touch operations applied to the same touch location but with different touch intensities can correspond to different operation instructions. For example, when a touch operation with an intensity less than a first pressure threshold is applied to a short message application icon, a command to view short messages is executed. When a touch operation with an intensity greater than or equal to the first pressure threshold is applied to a short message application icon, a command to create a new short message is executed.

[0211] The gyroscope sensor 280B can be used to determine the motion posture of the electronic device 200. In some embodiments, the angular velocity of the electronic device 200 around three axes (i.e., x, y, and z axes) can be determined by the gyroscope sensor 280B. The gyroscope sensor 280B can be used for anti-shake shooting. For example, when the shutter is pressed, the gyroscope sensor 280B detects the angle of the electronic device 200 shaking, calculates the distance that the lens module needs to compensate based on the angle, and allows the lens to offset the shaking of the electronic device 200 through reverse movement to achieve anti-shake. The gyroscope sensor 280B can also be used for navigation and somatosensory game scenes.

[0212] The air pressure sensor 280C is used to measure air pressure. In some embodiments, the electronic device 200 calculates the altitude using the air pressure value measured by the air pressure sensor 280C to assist in positioning and navigation.

[0213] The magnetic sensor 280D includes a Hall sensor. The electronic device 200 can use the magnetic sensor 280D to detect the opening and closing of the flip case. In some embodiments, when the electronic device 200 is a flip phone, the electronic device 200 can detect the opening and closing of the flip cover based on the magnetic sensor 280D. Based on the detected opening and closing status of the case or flip cover, features such as automatic unlocking of the flip cover can be configured.

[0214] Accelerometer 280E can detect the magnitude of acceleration of electronic device 200 in all directions (generally three axes). When electronic device 200 is stationary, it can detect the magnitude and direction of gravity. It can also be used to identify the electronic device's posture, enabling applications such as switching between landscape and portrait modes and pedometers.

[0215] The distance sensor 280F is used to measure distance. The electronic device 200 can measure distance using infrared or laser. In some embodiments, when shooting a scene, the electronic device 200 can use the distance sensor 280F to measure distance to achieve fast focusing.

[0216] The proximity light sensor 280G may include, for example, a light-emitting diode (LED) and a light detector, such as a photodiode. The light-emitting diode may be an infrared light-emitting diode. The electronic device 200 emits infrared light outward through the light-emitting diode. The electronic device 200 uses a photodiode to detect infrared reflected light from nearby objects. When sufficient reflected light is detected, it can be determined that there is an object near the electronic device 200. When insufficient reflected light is detected, the electronic device 200 can determine that there is no object near the electronic device 200. The electronic device 200 can use the proximity light sensor 280G to detect that the user holds the electronic device 200 close to the ear to talk, so as to automatically turn off the screen to save power. The proximity light sensor 280G can also be used in leather case mode and pocket mode to automatically unlock and lock the screen.

[0217] Ambient light sensor 280L is used to sense ambient light brightness. Electronic device 200 can adaptively adjust the brightness of display screen 294 based on the perceived ambient light brightness. Ambient light sensor 280L can also be used to automatically adjust white balance when taking photos. Ambient light sensor 280L can also work with proximity light sensor 280G to detect whether electronic device 200 is in a pocket to prevent accidental touches.

[0218] The fingerprint sensor 280H is used to collect fingerprints. The electronic device 200 can use the collected fingerprint characteristics to implement fingerprint unlocking, access application locks, fingerprint photography, fingerprint answering calls, etc.

[0219] The temperature sensor 280J is used to detect temperature. In some embodiments, the electronic device 200 uses the temperature detected by the temperature sensor 280J to implement a temperature management strategy. For example, when the temperature reported by the temperature sensor 280J exceeds a threshold, the electronic device 200 reduces the performance of a processor located near the temperature sensor 280J to reduce power consumption and implement thermal protection. In other embodiments, when the temperature falls below another threshold, the electronic device 200 heats the battery 242 to prevent the electronic device 200 from shutting down abnormally due to low temperatures. In other embodiments, when the temperature falls below yet another threshold, the electronic device 200 boosts the output voltage of the battery 242 to prevent abnormal shutdown due to low temperatures.

[0220] The touch sensor 280K may also be referred to as a touch panel or touch-sensitive surface. The touch sensor 280K may be disposed on the display screen 294. The touch sensor 280K and the display screen 294 form a touch screen, also referred to as a "touch screen." The touch sensor 280K is used to detect touch operations applied thereto or in the vicinity thereof. The touch sensor may transmit the detected touch operations to an application processor to determine the type of touch event. Visual output related to the touch operations may be provided via the display screen 294. In other embodiments, the touch sensor 280K may also be disposed on the surface of the electronic device 200, at a location different from that of the display screen 294.

[0221] The bone conduction sensor 280M can acquire vibration signals. In some embodiments, the bone conduction sensor 280M can acquire vibration signals from the vibrating bones of the human body's vocal cords. The bone conduction sensor 280M can also contact the human pulse to receive blood pressure signals. In some embodiments, the bone conduction sensor 280M can also be set in headphones to form bone conduction headphones. The audio module 270 can parse the voice signal based on the vibration signal of the vibrating bones of the vocal cords acquired by the bone conduction sensor 280M to implement voice functions. The application processor can parse heart rate information based on the blood pressure signals acquired by the bone conduction sensor 280M to implement heart rate detection functions.

[0222] The buttons 290 include a power button, a volume button, and the like. The buttons 290 may be mechanical buttons or touch buttons. The electronic device 200 may receive key inputs and generate key signal inputs related to user settings and function control of the electronic device 200.

[0223] Motor 291 can generate vibration prompts. Motor 291 can be used for incoming call vibration prompts, and can also be used for touch vibration feedback. For example, touch operations acting on different applications (such as taking pictures, audio playback, etc.) can correspond to different vibration feedback effects. Motor 291 can also correspond to different vibration feedback effects for touch operations acting on different areas of the display screen 294. Different application scenarios (for example: time reminders, receiving messages, alarm clocks, games, etc.) can also correspond to different vibration feedback effects. The touch vibration feedback effect can also support customization.

[0224] The indicator 292 may be an indicator light, which may be used to indicate the charging status, power level change, messages, missed calls, notifications, etc.

[0225] The SIM card interface 295 is used to connect a SIM card. The SIM card can be connected to and disconnected from the electronic device 200 by inserting it into or removing it from the SIM card interface 295. The electronic device 200 can support 1 or N SIM card interfaces, where N is a positive integer greater than 1. The SIM card interface 295 can support Nano SIM cards, Micro SIM cards, SIM cards, and the like. Multiple cards can be inserted into the same SIM card interface 295 at the same time. The types of the multiple cards can be the same or different. The SIM card interface 295 can also be compatible with different types of SIM cards. The SIM card interface 295 can also be compatible with external memory cards. The electronic device 200 interacts with the network through the SIM card to implement functions such as calls and data communications. In some embodiments, the electronic device 200 uses an eSIM, i.e., an embedded SIM card. The eSIM card can be embedded in the electronic device 200 and cannot be separated from the electronic device 200.

[0226] Figure 5 shows the overall process of the detection method provided in an embodiment of the present application. This method can be applied to the communication system shown in Figure 2.

[0227] As shown in FIG5 , the method may include:

[0228] S501 : The electronic device 100 collects exercise-related physiological data.

[0229] Specifically, the exercise-related physiological data may include one or more of the following: physiological data before exercise, physiological data during exercise, and physiological data after exercise.

[0230] "Before exercise" refers to the time period before the user starts exercising, during which the user is in a resting state. "During exercise" refers to the time period during which the user is exercising or pausing. "After exercise" refers to the time period within a preset time (e.g., 10 minutes) after the user finishes exercising.

[0231] How to collect exercise-related physiological data will be explained in detail later, so I will not elaborate on it here.

[0232] S502: The electronic device 100 analyzes the user's exercise health results based on the collected exercise-related physiological data, and displays the exercise health results.

[0233] In the embodiment of the present application, the exercise health result (also referred to as exercise health status) may refer to the user's physical health status at one or more stages before, during, or after exercise, such as cardiovascular health status. The physical health status is determined based on the exercise-related physiological data collected in step S501.

[0234] Specifically, the exercise health results may include blood pressure assessment results and cardiovascular risk predictions. The blood pressure assessment results may be used to indicate the user's blood pressure levels at one or more stages before, during, and after exercise, and the blood pressure assessment results may be generated based on pre-exercise physiological data, during-exercise physiological data, and after-exercise physiological data, or based on pre-exercise physiological data and after-exercise physiological data. The blood pressure assessment results may include blood pressure response assessments and blood pressure control levels. The blood pressure response assessment is used to indicate the user's blood pressure level assessment results throughout the exercise process. The blood pressure control level is used to indicate changes in the user's blood pressure level throughout the exercise process. The cardiovascular risk prediction may be used to indicate the user's exercise-related cardiovascular risk assessment results, and the cardiovascular risk prediction may be generated based on two or three of the pre-exercise physiological data, during-exercise physiological data, and after-exercise physiological data, as well as one or more of the exercise pattern, pre-exercise questionnaire, and post-exercise questionnaire.

[0235] In some embodiments, the exercise health result may further include a first assessment, which may be used to indicate exercise recommendations for the user when performing exercise, and the exercise recommendations may be used to indicate an exercise state that is suitable or unsuitable for the user among different exercise states.

[0236] The following describes in detail how the electronic device 100 obtains exercise-related physiological data, how it analyzes the user's exercise health results based on the obtained exercise-related physiological data, and how it presents the exercise health results.

[0237] Collection of exercise-related physiological data

[0238] Collection of physiological data before exercise

[0239] Pre-exercise physiological data may include one or more of the following: blood pressure and heart rate. Blood pressure can be acquired through a barometric pressure sensor, a micropump, and an airbag, while heart rate can be acquired through a PPG sensor.

[0240] Method 1: Trigger the collection of pre-exercise physiological data based on user input.

[0241] The electronic device 100 may display a first user interface, such as user interface 840 shown in FIG8D , and detect a first user operation of the user in the first user interface, such as clicking option 841. In response to the operation, the electronic device 100 may start collecting physiological data before exercise. This method is applicable to physiological data that requires the user to be stationary, such as blood pressure. To ensure that the user is in a stationary state, the electronic device 100 may display user interface 860 shown in FIG8F to prompt the user to remain still when measuring such physiological data (such as blood pressure).

[0242] By collecting physiological data before exercise through method 1, the electronic device 100 does not need to collect physiological data multiple times when it detects that the user is not exercising, which can save power consumption.

[0243] Method 2: Collect pre-exercise physiological data when the user is detected to be in a non-exercise state.

[0244] The electronic device 100 may also collect physiological data when it detects that the user is not exercising, and further combine the collected exercise data to determine when the user is about to exercise, and use the physiological data as the pre-exercise physiological data. Furthermore, the electronic device 100 may collect physiological data multiple times when it detects that the user is not exercising, and use the most recently collected physiological data before exercise as the pre-exercise physiological data.

[0245] In some embodiments, the electronic device 100 may not collect pre-exercise physiological data, but may use historical pre-exercise physiological data as the pre-exercise physiological data. The historical pre-exercise physiological data may be the user's resting blood pressure and heart rate data over a recent period of time (e.g., a week), such as a 24-hour average blood pressure and a 24-hour average heart rate.

[0246] How to determine when a user is about to exercise based on the collected motion data will be explained in detail later and will not be expanded here.

[0247] Collection of physiological data during exercise

[0248] Physiological data during exercise can include one or more of the following: heart rate, blood pressure, electrocardiogram (ECG), and blood oxygen saturation. Heart rate can be acquired through a PPG sensor, blood pressure can be acquired through a barometric pressure sensor, micropump, and airbag, ECG can be acquired through an ECG sensor, and blood oxygen saturation can be acquired through a blood oxygen sensor.

[0249] Method 1: Triggering the collection of physiological data during exercise based on user input.

[0250] The electronic device 100 can display a second user interface, such as the user interface 920 shown in Figure 9B, and detect a second user operation of the user in the second user interface, such as clicking on option 921 or clicking on option 922. In response to the operation, the electronic device 100 can start collecting physiological data during exercise. Specifically, the second user interface can be displayed when the user pauses exercise. For example, when it is detected that the user clicks on the control 911 in the user interface 910 shown in Figure 9A, it is determined that the user pauses exercise, and the electronic device 100 can display the user interface 920 shown in Figure 9B. This method is applicable to physiological data that requires the user to be collected while stationary, such as blood pressure and electrocardiogram. To ensure that the user is in a stationary state, the electronic device 100 can display the user interface 1080 shown in Figure 10H to prompt the user to remain still when measuring such physiological data (such as electrocardiogram).

[0251] Method 2: Collect physiological data during exercise when it is detected that the user is in exercise.

[0252] The electronic device 100 may also collect physiological data when detecting that the user is in motion, further combine the collected motion data to determine when the user is in motion, and use the physiological data as physiological data during motion.

[0253] The collection of physiological data during exercise through method 2 can be performed without the user's awareness. That is, the electronic device 100 can continuously collect physiological data such as heart rate, blood pressure, and blood oxygen while the user is exercising, without the need for the user to trigger it. Continuous collection can include continuous collection or multiple collections at specific time intervals (e.g., 2 minutes).

[0254] How to determine when a user is exercising based on the collected motion data will be explained in detail later and will not be expanded here.

[0255] Collection of physiological data after exercise

[0256] Post-exercise physiological data can include one or more of the following: heart rate, blood pressure, electrocardiogram (ECG), and blood oxygen saturation. Heart rate can be acquired through a PPG sensor, blood pressure can be acquired through a barometric pressure sensor, micropump, and airbag, ECG can be acquired through an ECG sensor, and blood oxygen saturation can be acquired through a blood oxygen sensor.

[0257] Method 1: Trigger the collection of post-exercise physiological data based on user input.

[0258] The electronic device 100 can display a third user interface, such as the user interface 1010 shown in Figure 10A, and detect a third user operation of the user in the third user interface, such as clicking on option 1011. In response to this operation, the electronic device 100 can start collecting physiological data after exercise. Specifically, the third user interface can be displayed when the user ends the exercise. For example, when it is detected that the user clicks on the control 912 in the user interface 910 shown in Figure 9A, it is determined that the user ends the exercise, and the electronic device 100 can display the user interface 1010 shown in Figure 10A. This method is applicable to physiological data that requires the user to collect while stationary, such as blood pressure, heart rate, and electrocardiogram. To ensure that the user is in a stationary state, the electronic device 100 can display the user interface 1030 shown in Figure 10C to prompt the user to remain still when measuring such physiological data (such as heart rate).

[0259] Method 2: Collect post-exercise physiological data after detecting that the user has finished exercising.

[0260] The electronic device 100 may also collect physiological data within a preset time (such as within 10 minutes) after detecting that the user has finished exercising, further combine the collected exercise data to determine when the user has finished exercising, and use the physiological data as post-exercise physiological data.

[0261] The post-exercise physiological data collection through method 2 can be performed without the user's awareness. That is, the electronic device 100 can continuously collect physiological data such as heart rate, blood pressure, and blood oxygen level after the user exercises without the need for the user to trigger it. Continuous collection can include continuous collection or multiple collections at specific time intervals (e.g., 2 minutes).

[0262] In some embodiments, the ECG data may be collected without the user's awareness, but the accuracy of the ECG data collected without the user's awareness is lower than the accuracy of the ECG data collected with the user's awareness.

[0263] How to determine when a user is exercising based on the collected motion data will be explained in detail later, so I will not elaborate on it here.

[0264] Analysis of exercise health results

[0265] In the embodiment of the present application, there may be multiple algorithm models for analyzing sports health results, and different sports modes correspond to different algorithm models. In order to more accurately analyze the user's sports health results, the electronic device 100 may select an algorithm model for analyzing sports health results based on the user's sports mode.

[0266] In the embodiments of the present application, an exercise mode, also referred to as an exercise type, may include, but is not limited to, the following exercise modes: indoor walking, outdoor walking, indoor running, outdoor running, shuttle walking, elliptical machine, and rowing machine. Exercise modes may also be user-defined, such as a "six-minute walk" exercise mode.

[0267] In some embodiments, the exercise mode can be specified by the user. For example, in the user interface 820 shown in FIG8B displayed by the electronic device 100, the user can click on the icon 822 to select the exercise mode as "outdoor running".

[0268] In other embodiments, the motion mode can be automatically identified by the electronic device 100 based on the collected motion data such as motion speed, motion distance, motion duration, motion direction, position, altitude, pace, number of steps, equivalents, etc. For example, the electronic device 100 can determine that the user is running based on the motion data collected by the gyroscope sensor and the acceleration sensor, and then further determine that the user is running outdoors based on the position data collected by the positioning sensor, and thus can identify the motion mode as "outdoor running". For another example, the electronic device 100 can determine that the user is moving back and forth at a low speed based on the motion data collected by the positioning sensor such as the magnetometer and the acceleration sensor, and thus can identify the motion mode as "walking back and forth".

[0269] In an embodiment of the present application, different ranges of exercise-related physiological data are input into the algorithm model corresponding to the exercise mode, and different exercise health results can be obtained after processing. The exercise health result can be reflected in the cardiovascular health status, and the cardiovascular health status can be evaluated through the cardiovascular risk assessment result. For example, the cardiovascular health status corresponding to an excellent exercise health result is excellent, and the cardiovascular risk assessment result corresponding to an excellent cardiovascular health status is low risk; the cardiovascular health status corresponding to a good exercise health result is good, and the cardiovascular risk assessment result corresponding to a good cardiovascular health status is medium risk; the cardiovascular health status corresponding to a poor exercise health result is poor, and the cardiovascular risk assessment result corresponding to a poor cardiovascular health status is high risk.

[0270] For example, for the algorithm model corresponding to the exercise mode of outdoor running, when the blood pressure value (the blood pressure value measured during exercise or the blood pressure increase compared to before exercise) is in the first range, the corresponding cardiovascular risk assessment result is low risk, that is, the corresponding exercise health result is excellent; when the blood pressure value (the blood pressure value measured during exercise or the blood pressure increase compared to before exercise) is in the second range, the corresponding cardiovascular risk assessment result is medium risk, that is, the corresponding exercise health result is good; when the blood pressure value (the blood pressure value measured during exercise or the blood pressure increase compared to before exercise) is in the third range, the corresponding cardiovascular risk assessment result is high risk, that is, the corresponding exercise health result is poor.

[0271] FIG6 exemplarily shows an analysis of exercise health results by selecting an algorithm model corresponding to an exercise mode.

[0272] As shown in FIG6 , the algorithm model for analyzing sports health results may include algorithm model 1, algorithm model 2, ..., algorithm model m, where m is a positive integer greater than 2. Among them, algorithm model 1, algorithm model 2, ..., algorithm model m may be algorithm models corresponding to the "indoor cycling", "outdoor running", ..., and "elliptical machine" sports modes, respectively. If the electronic device 100 determines that the sports mode is "outdoor running", it may use algorithm model 2 to analyze the physiological data and sports data to obtain the sports health results of outdoor running.

[0273] Specifically, the algorithm model used to analyze sports health results can be a neural network model, which can be obtained through training with a first training set, and the confidence level can be higher than a specific confidence value, such as 90%. The first training set includes a large number of training samples, wherein one training sample can include an input and its corresponding output sample, and the input can include motion data and physiological data when the motion data is collected, and the output sample can be a sports health result. The sports health result can generally be that when a human being performs the exercise indicated by the motion data in the training sample, physiological data such as blood pressure, heart rate, electrocardiogram, and blood oxygen, such as the physiological data in the training sample, will be recognized as a health condition in the medical field. Therefore, it is generally credible and can be used to train neural networks.

[0274] Furthermore, algorithm models can be set separately for the three stages before exercise, during exercise, and the entire exercise process (including before exercise, during exercise, and after exercise) to output exercise health recommendations or exercise health results for different stages.

[0275] FIG7A shows a method for providing exercise health advice based on an algorithm model corresponding to exercise before exercise.

[0276] As shown in Figure 7A, Algorithm Model X is a model for providing pre-exercise health advice based on historical physiological data and historical exercise data. That is, the inputs to Algorithm Model X include a first input and a second input, the first input being historical physiological data and the second input being historical exercise data. The output of Algorithm Model X is pre-exercise health advice, such as recommended exercise mode, recommended exercise duration, risk warning, and so on. In this way, Algorithm Model X can provide pre-exercise health advice before the user exercises, thereby better helping the user prevent exercise risks. It can also reduce user input and calibration operations, eliminating the need for the user to manually enter data, thereby improving the user experience.

[0277] Specifically, the algorithm model X used to provide pre-exercise exercise health advice can be a neural network model, which can be obtained through training with a second training set, and the confidence level can be higher than a specific confidence value, such as 90%. The second training set includes a large number of training samples, wherein one training sample can include an input and its corresponding output sample, and the input can include historical motion data and historical physiological data when the historical motion data is collected, and the output sample can be pre-exercise exercise health advice. The pre-exercise exercise health advice can generally be the exercise health advice given by medical experts when a human being performs the exercise indicated by the historical motion data in the training sample, based on physiological data such as blood pressure, heart rate, electrocardiogram, and blood oxygen, as shown in the historical physiological data in the training sample. Therefore, it is generally credible and can be used to train neural networks.

[0278] Among them, historical physiological data may include the user's pre-exercise physiological data, in-exercise physiological data, and post-exercise physiological data of the previous exercise. Historical exercise data may include exercise data of the previous exercise. Pre-exercise health advice may include pre-exercise exercise advice and pre-exercise health advice. Pre-exercise exercise advice may be used to indicate whether the user is suitable for this exercise mode. Pre-exercise health advice may be used to indicate the physiological data that the user should pay attention to during this exercise.

[0279] FIG7B shows a method for providing exercise health advice based on a corresponding algorithm model during exercise.

[0280] As shown in Figure 7B, algorithm model Y is a model for providing sports health advice during exercise based on physiological data and exercise data during exercise. That is, the input of algorithm model Y includes a third input and a fourth input, the third input is physiological data during exercise, the fourth input is exercise data, and the output of algorithm model Y is sports health advice during exercise. For example, it can output sports health advice during exercise such as continuing exercise / reducing exercise intensity / increasing exercise intensity / terminating exercise / resting for a preset time (e.g., 5 minutes) and then continuing exercise / resting for a preset time (e.g., 5 minutes) and then detecting no abnormalities and continuing exercise, etc. In this way, algorithm model Y can provide real-time sports health advice during user exercise, thereby better realizing real-time sports safety monitoring for users, allowing users to know potential risks in a timely manner and give advice or warnings during exercise, thereby avoiding the occurrence of cardiovascular risk events due to excessive exercise intensity of users.

[0281] Specifically, the algorithm model Y for providing health advice on exercise during motion can be a neural network model, which can be obtained by training with the third training set, and the confidence level can be higher than a specific confidence value, such as 90%. The third training set includes a large number of training samples, wherein one training sample can include an input and its corresponding output sample, and the input can include motion data and physiological data during motion when the motion data is collected, and the output sample can be health advice on exercise during motion. The health advice on exercise during motion can generally be that when humans perform the motion indicated by the motion data in the training sample, physiological data such as blood pressure, heart rate, electrocardiogram, and blood oxygen will be given health advice by medical experts, just like the physiological data during motion in the training sample. Therefore, it is generally credible and can be used to train neural networks.

[0282] In some embodiments, the electronic device 100 can analyze the user's exercise health results for different exercise states based on the physiological data and exercise data during exercise, thereby obtaining exercise health recommendations during exercise. The exercise health recommendations during exercise can include exercise recommendations during exercise and health recommendations during exercise. The exercise recommendations during exercise can be used to indicate whether the user's exercise state is suitable or unsuitable in different exercise states. The health recommendations during exercise can be used to indicate abnormal physiological data during the current exercise process.

[0283] FIG7C shows a method for obtaining exercise health results based on an algorithm model corresponding to the entire exercise process.

[0284] As shown in FIG7C , algorithm model Z is a model for providing exercise health results based on all physiological data before, during, and after exercise. That is, the inputs of algorithm model Z include a fifth input, a sixth input, and a seventh input. The fifth input is the physiological data before exercise, the sixth input is the physiological data during exercise, and the seventh input is the physiological data after exercise. The output of algorithm model Z is the exercise health result. For example, the exercise health result displayed on user interface 1100 shown in FIG11A can be output.

[0285] Specifically, the algorithm model Z for providing sports health results can be a neural network model, which can be obtained through training with the fourth training set, and the confidence level can be higher than a specific confidence value, such as 90%. The fourth training set includes a large number of training samples, wherein one training sample can include an input and its corresponding output sample, and the input can include physiological data before exercise, physiological data during exercise, and physiological data after exercise, and the output sample can be a sports health result. The sports health result can generally be a sports health result recognized by the medical field when a human being exercises, such as physiological data such as blood pressure, heart rate, electrocardiogram, and blood oxygen, as well as all physiological data before, during, and after exercise in the training sample. Therefore, it is generally credible and can be used to train neural networks.

[0286] The exercise health results may include blood pressure assessment results and cardiovascular risk prediction. It is easy to understand that the cardiovascular risk prediction can be expressed in the form of a score and / or risk level (such as low risk, medium risk or high risk).

[0287] Presentation of sports health results

[0288] The presentation of exercise health results can be in various forms, and the embodiments of the present application do not limit this.

[0289] The electronic device 100 may display a brief report describing the exercise and health results, and transmit the exercise and health results to the electronic device 200 . The electronic device 200 may display a detailed report describing the exercise and health results.

[0290] For example, after obtaining the user's exercise health results, the electronic device 100 may display the user interface 1100 shown in FIG11A , and provide the following in the user interface: blood pressure response assessment and cardiovascular risk prediction. The blood pressure response assessment is used to indicate the user's blood pressure level assessment results throughout the exercise process, such as "slow blood pressure recovery" may indicate that the user's blood pressure level has recovered slowly. The cardiovascular risk prediction can be used to indicate the user's exercise-related cardiovascular risk assessment results, such as "medium risk" may indicate that the user's cardiovascular risk assessment results are not in a good state.

[0291] For example, after receiving the sports health results from the electronic device 100, the electronic device 200 may display the user interface 1210 shown in FIG12A and provide in the user interface: indication information 1211, indication information 1212, and indication information 1213. Among them, indication information 1211 may indicate the user's sports health risk as a whole, such as "medium risk" may indicate that the user's sports health results are in a non-good state; indication information 1212 may indicate the impact of various risk factors on the user's health during exercise, such as "exercise interval blood pressure", "blood pressure recovery rate", "heart rate recovery rate", and "heart rate variability", which may respectively indicate the user's blood pressure when pausing during exercise, blood pressure recovery after exercise, heart rate recovery after exercise, and changes in heart rate cycle differences; indication information 1213 may be an interpretation of the indication information 1212 to facilitate the user's understanding of the indication information 1212.

[0292] As can be seen, user interface 1210 shown in FIG12A focuses on presenting the user's exercise health results from aspects such as risk level and risk factors. Risk factors can be determined based on physiological data during exercise and physiological data after exercise, and risk levels can be determined based on the risk levels of risk factors assessed from physiological data during exercise and from physiological data after exercise.

[0293] For example, after receiving the exercise health results from the electronic device 100, the electronic device 200 can display the user interface 1220 shown in Figure 12B, and provide in the user interface: blood pressure, heart rate and other physical health conditions at rest (before exercise), blood pressure, heart rate and other physical health conditions during exercise, and blood pressure, heart rate and other physical health conditions during exercise recovery (after exercise).

[0294] It can be seen that the user interface 1220 shown in FIG. 12B focuses on presenting the user's exercise health results from different stages.

[0295] For example, after receiving the sports health results from the electronic device 100, the electronic device 200 can display the user interface 1230 shown in Figure 12C, and display the statistics of the user's sports health results over a longer period of time in the user interface through graphs, tables, texts, etc., such as the sports health results from May 1 to May 31, of which 29 sports health risks were low risk and 2 were medium risk, as well as the distribution of exercise heart rate for each exercise.

[0296] As can be seen, user interface 1230 shown in FIG12C focuses on presenting the user's exercise health results from a measurement and statistical perspective. Specifically, user interface 1230 can display the user's exercise health results for multiple exercises. The exercise health results for multiple exercises can include one or more of the following: the number of times different risk levels occur during the multiple exercises, the risk level of each exercise, and physiological data collected during or after each exercise.

[0297] The following describes in detail how the electronic device 100 identifies the user's exercise stage based on the collected exercise data.

[0298] Identification of movement phases

[0299] The stages before, during, and after exercise can be identified by:

[0300] Method 1: Identify each movement stage based on the collected movement data.

[0301] Specifically, when the user is in a non-motion state, the electronic device 100 detects that the data collected by the acceleration sensor indicates that the user's movement speed changes from a smaller value (such as 0.1 m / s) to a larger value (such as 5 m / s), the data collected by the positioning sensor indicates that the user's position changes from a smaller value (such as 10 m / min) to a larger value (such as 100 m / min), and the duration of one or more of the above conditions exceeds a first time length (such as 30 seconds). The electronic device 100 can determine that the user starts to exercise, and the moment when the motion data changes can be determined as the starting moment of the exercise.

[0302] Specifically, when the user starts exercising, the electronic device 100 detects that the data collected by the acceleration sensor indicates that the user's movement speed changes from a larger value (such as 5 meters / second) to a smaller value (such as 0.1 meters / second), the data collected by the positioning sensor indicates that the user's position changes from a larger value (such as 100 meters / minute) to a smaller value (such as 10 meters / minute), and the duration of one or more of the above conditions exceeds the second time length (such as 30 minutes), the electronic device 100 can determine that the user has ended the exercise, and the moment when the exercise data changes can be determined as the end moment of the exercise.

[0303] It is easy to understand that on this basis, the time period before the start moment of the exercise can be determined as before the exercise, the time period within a preset time (such as within 20 minutes) after the end moment of the exercise can be determined as after the exercise, and the time period between the start moment and the end moment can be determined as during the exercise.

[0304] Method 2: Identify each movement stage based on user input.

[0305] For example, when the user clicks the icon 822 in the user interface 820 shown in FIG8B or the icon 831 in the user interface 830 shown in FIG8C , the electronic device 100 can determine that the user has started exercising, and the moment of clicking the icon 822 or the icon 831 can be determined as the starting moment of the exercise. When the user selects the stop control 911, the electronic device 100 can determine that the user has ended the exercise, and the moment of clicking the stop control 911 can be determined as the ending moment of the exercise. On this basis, the time period before the starting moment can be determined as before the exercise, the time period within a preset time (such as within 20 minutes) after the ending moment can be determined as after the exercise, and the time period between the starting moment and the ending moment can be determined as during the exercise.

[0306] Based on the overall method flow described in Figure 5 , a series of graphical user interfaces provided by the embodiments of the present application will be described in detail below. The graphical user interface is essentially a human-computer interaction method and an interface control method of the electronic device 100 .

[0307] 8A-8G exemplarily illustrate a series of user interfaces for users to measure physiological data before exercise, FIG. 9A-9D exemplarily illustrate a series of user interfaces for users to measure physiological data during exercise, and FIG. 10A-10J exemplarily illustrate a series of user interfaces for users to measure physiological data after exercise.

[0308] Before exercise

[0309] Before the user exercises, the electronic device 100 can display the user interface shown in Figures 8A to 8G. A first option can be displayed in the above user interface, such as option 841 in the user interface 840 shown in Figure 8D. When the electronic device 100 detects that the user clicks the first option, it can start collecting physiological data before the exercise. For example, when the electronic device 100 detects that the user clicks the "Start Measurement" option, it can start collecting blood pressure data before the exercise. At the same time, the electronic device 100 can also display related measurement interfaces, such as user interface 850 shown in Figure 8E, user interface 860 shown in Figure 8F, and user interface 870 shown in Figure 8G. The above interfaces will be described later.

[0310] Furthermore, before starting to collect pre-exercise physiological data, once a motion sensor such as a gyroscope sensor or an accelerometer detects that the user is exercising, the electronic device 100 may display an "Automatic Exercise Mode Recognition" user interface 830, which will be described later. Before starting to collect pre-exercise physiological data, the electronic device 100 may also display an "Actively Enter Exercise Mode" user interface 820, which will be described later.

[0311] It is easy to understand that when the electronic device 100 detects that the user clicks the first option, it is not limited to starting to collect blood pressure data, but can also start collecting pre-exercise physiological data such as heart rate, electrocardiogram, and blood oxygen. This embodiment of the present application does not limit this.

[0312] As shown in Figures 8A to 8G, in some embodiments, the electronic device 100 can automatically identify the user's motion pattern through a motion sensor. In other embodiments, the electronic device 100 can detect the user's input operation. For example, the user can fill out a pre-exercise questionnaire (including age, exercise habits, personal health status, family medical history, medication information, etc.) when using the electronic device 100 for a sports health test for the first time, and the electronic device 100 can save the above-mentioned user basic information. After detecting the user's input operation, the electronic device 100 can add exercise-related data to the study, such as exercise and blood pressure research. After adding the exercise-related data to the study, the electronic device 100 can prompt the user to start a sports health detection process (such as a sports-related cardiovascular risk assessment process). The user can choose to start the sports health detection process. After the sports health detection process is started, the user can choose to actively enter the exercise mode.

[0313] After detecting the user's exercise pattern, the electronic device 100 can prompt the user to start collecting pre-exercise physiological data (e.g., blood pressure). When starting to collect pre-exercise physiological data, the electronic device 100 can display a guidance interface for physiological data collection (such as user interface 850 shown in Figure 8E and user interface 860 shown in Figure 8F) to improve the accuracy of the user's physiological data collection, such as prompting the user "Please wear the watch flush with your heart during measurement and do not press on your chest" and "Please remain still while your blood pressure is being measured."

[0314] Exemplarily, as shown in FIG8C , the “automatic motion mode identification” user interface 830 may include one or more motion mode icons (e.g., an indoor walking icon, an outdoor walking icon, an indoor running icon, an outdoor running icon 831, an elliptical machine icon, and a rowing machine icon), and one or more options (e.g., an “Ignore” option, a “No reminder today” option, and a “Turn off automatic identification” option). The motion mode icons may be used to trigger the electronic device 100 to determine that the user has started exercising. For example, the outdoor running icon 831 may be used to trigger the electronic device 100 to determine that the user has started to enter the outdoor running motion mode.

[0315] In some embodiments, the electronic device 100 may receive an input operation (e.g., a single click) from a user on a sports mode icon (e.g., an outdoor running icon 831). In response to the input operation, the electronic device 100 may display a user interface 840 as shown in FIG8D . For the above embodiment, the user's physiological condition is approximately at rest when the exercise begins, so the physiological data collected at this time is approximately the user's physiological data in the resting state and can be regarded as pre-exercise physiological data. In other embodiments, the user may not input the sports mode icon. After a preset time (e.g., 30 seconds), the electronic device 100 may determine that the user has begun to enter the sports mode and may automatically enter the user interface 840 as shown in FIG8D .

[0316] Exemplarily, as shown in FIG8A , the electronic device 100 may display a “start assessment prompt” user interface 810. Optionally, the user interface 810 may include relevant information for prompting the user to start the exercise-related cardiovascular risk assessment process, such as “Welcome to join the sports health study, pay attention to health status during exercise, and assess cardiovascular health risks.” It can be seen from the prompt information that the electronic device 100 prompts the user to add the data of this exercise to the study (e.g., sports health study), and the purpose of starting the exercise-related cardiovascular risk assessment process is to remind the user to pay attention to the exercise health results. In some examples, the above-mentioned prompt information may not be conveyed to the user in the form of an interface display, but may be conveyed to the user in other ways, for example, it may be conveyed to the user in the form of a voice broadcast. The user interface 810 may also include option 811, which may be used to trigger the start of the exercise-related cardiovascular risk assessment process.

[0317] The electronic device 100 may receive an input operation (eg, a single click) from the user on option 811 . In response to the input operation, the electronic device 100 may display an “actively enter motion mode” user interface 820 as shown in FIG. 8B .

[0318] Exemplarily, as shown in FIG8B , the electronic device 100 may display an “active entry into sports mode” user interface 820, which may include one or more course icons (e.g., a running course icon), an entry control corresponding to the course icon (e.g., control 821), one or more sports mode icons (e.g., an outdoor running icon 822), and a setting control corresponding to the sports mode icon (e.g., control 823). The entry control corresponding to the course icon may be used to trigger entry into a sports course interface (e.g., user interface 880 shown in FIG8I ). The sports mode icon may be used to trigger the electronic device 100 to determine that the user has started exercising. For example, the outdoor running icon 822 may be used to trigger the electronic device 100 to determine that the user has started to enter the outdoor running sports mode. The setting control corresponding to the sports mode icon may be used to trigger entry into a sports mode settings interface (e.g., user interface 890 shown in FIG8K ).

[0319] The electronic device 100 may receive an input operation (eg, a single click) from the user on the motion mode icon. In response to the input operation, the electronic device 100 may display a user interface 840 as shown in FIG. 8D .

[0320] In some embodiments, electronic device 100 can establish a connection with an electronic device other than electronic device 100, such as electronic device 200. Electronic device 100 can access a workout program played by electronic device 200. In other embodiments, electronic device 100 can also access a workout program played by itself. When actively entering workout mode, the user can choose to access a workout program played by electronic device 100.

[0321] For example, as shown in FIG8H , the electronic device 100 may receive an input operation (eg, a single click) from a user on the control 821 . In response to the input operation, the electronic device 100 may display a user interface 880 as shown in FIG8I .

[0322] The electronic device 100 can remind the user to measure physiological data during exercise such as blood pressure, electrocardiogram, and blood oxygen during a break in the course (for example, "rest for 60 seconds" in the user interface 880 shown in Figure 8I) or after the course ends (for example, "duration 18 minutes" in the user interface 880 shown in Figure 8I).

[0323] 8I , the electronic device 100 may display a “running course” user interface 880, which may include an option 881. Option 881 may be used to trigger the electronic device 100 to determine that the user has started a running course, i.e., entered a running exercise mode.

[0324] The electronic device 100 may receive an input operation (eg, a single click) from the user on the option 881 . In response to the input operation, the electronic device 100 may display the user interface 840 as shown in FIG. 8D .

[0325] In some embodiments, the user can choose to customize the overall goal and stage goals of the exercise mode when actively entering the exercise mode.

[0326] For example, as shown in FIG8J , the electronic device 100 may receive an input operation (eg, a single click) from a user on the control 823 . In response to the input operation, the electronic device 100 may display a user interface 890 as shown in FIG8K .

[0327] The electronic device 100 can remind the user to measure physiological data such as blood pressure, heart rate, and blood oxygen during exercise after the exercise reaches a preset stage goal (for example, one or more conditions such as an outdoor running distance of 1 kilometer or an outdoor running time of 10 minutes) or a preset total goal (for example, one or more conditions such as a total outdoor running distance of 3 kilometers or a total outdoor running time of 30 minutes). It is understood that the setting of the exercise goal shown in Figure 8K is only exemplary and not limited to this. The content of the exercise goal (including the total goal and stage goal) (the distance and duration in the user interface 890 shown in Figure 8K) can be related to the user's exercise mode. Among them, the content of the total goal and the stage goal can usually be consistent.

[0328] 8K , the electronic device 100 may display a user interface 890, which may include an option 891. Option 891 may be used to trigger the electronic device 100 to determine that the user has started to enter the outdoor running exercise mode.

[0329] The electronic device 100 may receive an input operation (eg, a single click) from the user on the option 891 . In response to the input operation, the electronic device 100 may display the user interface 840 as shown in FIG. 8D .

[0330] Exemplarily, as shown in FIG8D , the electronic device 100 may display a user interface 840. Optionally, the user interface 840 may include relevant information for prompting the user to collect physiological data before exercise, such as “Please measure your blood pressure once before exercise, please keep still, and start measuring.” It can be seen from the prompt information that the electronic device 100 prompts the user to measure blood pressure once before exercise, and prompts the user to keep still. In some examples, the above prompt information may not be conveyed to the user in the form of an interface display, but may be conveyed to the user in other ways, for example, it may be conveyed to the user in the form of a voice broadcast. The user interface 840 may also include option 841, which can be used to trigger the start of collecting pre-exercise physiological data such as blood pressure and heart rate.

[0331] Taking the collection of blood pressure data as an example, the electronic device 100 can receive an input operation (such as a single click) from the user on option 841. In response to the input operation, the electronic device 100 can start collecting blood pressure data before exercise and display the user interface 850 shown in Figure 8E.

[0332] For example, as shown in FIG8E , the electronic device 100 may display a user interface 850. Optionally, the user interface 850 may include relevant information for prompting the user to prepare for blood pressure measurement, such as an action diagram and prompt information (e.g., “When measuring, please pay attention to wearing the watch flush with the heart and do not press on the chest”). As can be seen from the above prompt information, the electronic device 100 prompts the user to pay attention to wearing the watch flush with the heart when measuring blood pressure, and not to press on the chest, so as to improve the accuracy of the measured blood pressure data. In some examples, the above prompt information may not be conveyed to the user in the form of an interface display, but may be conveyed to the user in other ways, for example, it may be conveyed to the user in the form of a voice broadcast. The user interface 850 may also include a countdown control, which may be used to prompt the user to wait for a preset time, and after the countdown ends, to trigger the entry into the user interface 860. The preset time length may be 30 seconds, and the specific value of the preset time length is not limited.

[0333] Exemplarily, as shown in FIG8F , the electronic device 100 may display a user interface 860. Optionally, the user interface 860 may include relevant information for indicating blood pressure measurement data. The user interface 860 may include relevant prompt information for prompting the user to take actions during the blood pressure measurement process (for example, “Blood pressure is being measured, please remain still”). It can be seen from the above prompt information that the action that the electronic device 100 prompts the user to take when measuring blood pressure is to remain still in order to improve the accuracy of the measured blood pressure data. In some examples, the above prompt information may be conveyed to the user in other ways rather than in the form of an interface display. For example, it may be conveyed to the user in the form of a voice broadcast. The user interface 860 may also include a “Cancel Measurement” option, which can be used to cancel the ongoing blood pressure measurement process.

[0334] In some embodiments, after waiting for a preset time, the blood pressure measurement ends and the electronic device 100 can enter the user interface 870. The preset time can be 2 minutes, and the embodiment of the present application does not limit the specific value of the preset time.

[0335] For example, as shown in FIG8G , the electronic device 100 may display a user interface 870, which may include relevant information for indicating the user's blood pressure measurement results (e.g., high pressure, low pressure, and pulse in the user interface 870 shown in FIG8G ). It is easy to understand that the above-mentioned indication information is merely exemplary and is not limited thereto. The embodiments of the present application do not limit the content of the blood pressure measurement results. The user interface 870 may also include an option 871, which may be used to trigger the end of the blood pressure measurement process.

[0336] The electronic device 100 may receive an input operation (eg, a single click) from the user on the option 871 . In response to the input operation, the electronic device 100 may display a user interface 910 as shown in FIG. 9A .

[0337] During exercise

[0338] While the user is exercising, the electronic device 100 may display the user interface shown in Figures 9A-9D. As previously mentioned, the exercise mentioned in the embodiments of this application may include pauses in which the user pauses. During these pauses, the electronic device 100 can better collect physiological data such as electrocardiogram (ECG), blood pressure, and blood oxygen levels that require the user to be at rest. The aforementioned user interface may display a second option, such as options 921 and 922 in user interface 920 shown in Figure 9B. When the electronic device 100 detects that the user clicks the second option, it may begin collecting physiological data during exercise. For example, when the electronic device 100 detects that the user clicks the "Blood Pressure Measurement" option, it may begin collecting blood pressure data during exercise. For another example, when the electronic device 100 detects that the user clicks the "ECG Collection" option, it may begin collecting ECG data during exercise. Simultaneously, the electronic device 100 may also display related measurement interfaces. For example, the related measurement interfaces for blood pressure measurement can be found in Figures 8E-8G above, which will not be described in detail here. For another example, the related measurement interface for ECG collection can be found in Figure 10H below, which will not be elaborated here.

[0339] Specifically, physiological data during exercise can be collected during the intervals when the user pauses in exercise.

[0340] Specifically, physiological data during exercise can also be collected in one or more of the following scenarios: the electronic device 100 can remind the user to measure physiological data during exercise after reading the rest period in its own or the electronic device 200's exercise course; the electronic device 100 can remind the user to measure physiological data during exercise after the exercise reaches a preset stage goal (for example, one or more conditions such as the outdoor running distance meets 1 kilometer and the outdoor running time meets 10 minutes).

[0341] In some embodiments, the electronic device 100 can collect motion data while the user is exercising. Furthermore, during exercise, the electronic device 100 can input the physiological data and motion data during exercise into the algorithm model Y. Once an abnormality is detected in one or more of the physiological data during exercise, such as blood pressure, heart rate, electrocardiogram, or blood oxygen, i.e., one or more of the physiological data during exercise, such as blood pressure, heart rate, electrocardiogram, or blood oxygen, deviates from normal physiological data in the exercise mode selected by the user, the electronic device 100 can display the user interface 930 shown in FIG9C or the user interface 940 shown in FIG9D . The user interface may include a prompt indicating a health abnormality during the user's first exercise. Normal physiological data is a reference value of the physiological data of the user during the first exercise, determined based on the pre-exercise physiological data. The prompt may be generated based on the physiological data during exercise or based on both the pre-exercise and the in-exercise physiological data. Health abnormalities may include one or more of the following: abnormally high blood pressure, abnormally low blood pressure, sluggish reaction, or arrhythmia.

[0342] In some embodiments, the prompt information may be used to indicate the risks associated with the user's selected exercise mode. Specifically, an abnormality in one or more physiological data during exercise, such as blood pressure, heart rate, electrocardiogram, or blood oxygen, may indicate that the physiological data during one or more exercise, such as blood pressure, heart rate, electrocardiogram, or blood oxygen, deviates from normal physiological data in the user's selected exercise mode, indicating that the user has a higher risk level in the selected exercise mode.

[0343] As shown in Figures 9A-9D, after the electronic device 100 completes the collection of pre-exercise physiological data such as blood pressure and heart rate, the user can enter the exercise period. During this period, the user can pause exercise. When the electronic device 100 detects that the user is in the exercise pause period (also known as an exercise interval), it can prompt the user to start collecting physiological data during exercise (such as blood pressure and electrocardiogram). When starting to collect physiological data during exercise, the electronic device 100 can display the relevant measurement interface. For example, the relevant measurement interface for blood pressure measurement can refer to Figures 8E-8G above, which are not described here. For another example, the relevant measurement interface for electrocardiogram collection can refer to Figure 10H below, which is not expanded here. The electronic device 100 can collect exercise data while the user is exercising. During exercise, the electronic device 100 can input the physiological data and exercise data during exercise into the algorithm model Y. Once an abnormality is detected in one or more physiological data during exercise, such as blood pressure, heart rate, electrocardiogram, blood oxygen, etc., the electronic device 100 can trigger an abnormal event reminder.

[0344] Exemplarily, as shown in FIG9A , the electronic device 100 may display a user interface 910, which may include relevant information for indicating the user's heart rate data and motion data during the exercise period (such as "pace", "distance", and "time" in the user interface 910 shown in FIG9A ). It is easy to understand that the indication information of the user interface 910 shown in FIG9A is merely exemplary and is not limited thereto. The content of the motion data in the indication information is related to the user's exercise pattern. The user interface 910 may also include a pause control 911 and a stop control 912. Among them, the pause control 911 can be used for the user to actively pause the exercise. The stop control 912 can be used for the user to actively end the exercise.

[0345] In some embodiments, the electronic device 100 may receive an input operation (e.g., a single click) from the user on the pause control 911. In response to the input operation, the electronic device 100 may display a user interface 920 as shown in FIG9B . In other embodiments, the electronic device 100 may receive an input operation (e.g., a single click) from the user on the stop control 912. In response to the input operation, the electronic device 100 may display a user interface 1010 as shown in FIG10A .

[0346] For example, as shown in FIG9B , electronic device 100 may display user interface 920. Optionally, user interface 920 may include relevant information prompting the user to collect physiological data during exercise, such as "Exercise has been paused. A blood pressure measurement or ECG collection can be performed." This prompt indicates that electronic device 100 prompts the user to measure blood pressure or collect ECG during the paused period. In some examples, this prompt may not be displayed in an interface, but may be conveyed to the user in other ways, such as through voice announcement. User interface 920 may also include options 921, 922, and a "Blood Oximetry" option (not shown). Option 921 may be used to trigger the start of collecting blood pressure during exercise intervals, as opposed to the blood pressure collected continuously during uninterrupted exercise. Option 922 may be used to trigger the start of collecting physiological data during exercise, such as ECG. The "Blood Oximetry" option may be used to trigger the start of collecting physiological data during exercise, such as blood oxygen.

[0347] In some embodiments, the electronic device 100 may receive an input operation (e.g., a single click) from the user on option 921. In response to the input operation, the electronic device 100 may display a measurement interface related to blood pressure measurement, such as Figures 8E-8G above, which are not described in detail here. In other embodiments, the electronic device 100 may receive an input operation (e.g., a single click) from the user on option 922. In response to the input operation, the electronic device 100 may display a measurement interface related to electrocardiogram acquisition, such as Figure 10H below, which is not described here.

[0348] In some embodiments, after the user completes the blood pressure measurement process / ECG acquisition process / blood oxygen measurement process, if blood pressure abnormality is detected, the electronic device 100 can display the user interface 930 as shown in Figure 9C; if ECG abnormality is detected, the electronic device 100 can display the user interface 940 as shown in Figure 9D; otherwise, the electronic device 100 can display the user interface 910 as shown in Figure 9A.

[0349] For example, as shown in FIG9C , the electronic device 100 may display a user interface 930, which may include relevant information for prompting abnormal blood pressure, such as “Your blood pressure is currently detected to be abnormally high / low. The abnormally high / low blood pressure makes it impossible to XXX. Please take a break and re-measure your blood pressure. If you feel unwell, please seek medical attention in time.” The blood pressure health abnormality in the prompt information may be, for example, abnormally high / low blood pressure. The prompt information may also include exercise suggestions for the user during exercise, and the above-mentioned exercise suggestions may be, for example, continue exercising / reduce exercise intensity / increase exercise intensity / stop exercising / continue exercising after resting for XX minutes / continue exercising after resting for XX minutes without abnormality. In some examples, the above-mentioned prompt information may be conveyed to the user in other ways instead of being displayed on the interface, for example, it may be conveyed to the user in the form of a voice broadcast. The user interface 930 may also include option 931, which may be used to trigger the start of collecting physiological data (such as blood pressure) during exercise.

[0350] Exemplarily, as shown in FIG9D , the electronic device 100 may display a user interface 940, which may include relevant information for prompting ECG abnormalities, such as “It is currently detected that you have a suspected arrhythmia, which will affect the accuracy of blood pressure measurement. If you feel heart discomfort, please seek medical attention in time.” The ECG health abnormality in the prompt information may be, for example, arrhythmia. The prompt information may also include exercise suggestions for the user during exercise, and the above-mentioned exercise suggestions may be, for example, continue exercising / reduce exercise intensity / increase exercise intensity / stop exercising / continue exercising after resting for XX minutes / continue exercising after resting for XX minutes without abnormalities. In some examples, the above-mentioned prompt information may be conveyed to the user in other ways instead of being displayed on the interface, for example, it may be conveyed to the user in the form of a voice broadcast. The user interface 940 may also include option 941, which may be used to trigger the start of collecting physiological data (such as ECG) during exercise.

[0351] In some embodiments, the electronic device 100 may receive an input operation (e.g., a single click) from the user on option 931. In response to the input operation, the electronic device 100 may display a measurement interface related to blood pressure measurement, such as the previous Figures 8E-8G, which are not described here. Alternatively, the electronic device 100 may receive an input operation (e.g., a single click) from the user on option 941. In response to the input operation, the electronic device 100 may display a measurement interface related to electrocardiogram acquisition, such as the following Figure 10H, which is not described here.

[0352] After exercise

[0353] After the user exercises, the electronic device 100 may display the user interface shown in Figures 10A-10J. Post-exercise may include a period of time within a preset time (e.g., 20 minutes) after the end of exercise. Physiological data such as blood pressure and heart rate generally gradually return to resting levels within this preset time after the end of exercise. Therefore, the post-exercise period mentioned in the embodiments of the present application is the post-exercise recovery period.

[0354] The user interface may display a third option, such as option 1011 in user interface 1010 shown in FIG10A , option 1041 in user interface 1040 shown in FIG10D , option 1071 in user interface 1070 shown in FIG10G , and so on. When electronic device 100 detects that the user has clicked the third option, it may begin collecting post-exercise physiological data. For example, when electronic device 100 detects that the user has clicked the "Start Measurement" option in user interface 1010, it may begin collecting post-exercise blood pressure data. For another example, when electronic device 100 detects that the user has clicked the "Start Measurement" option in user interface 1040, it may begin collecting post-exercise recovery blood pressure data. For another example, when electronic device 100 detects that the user has clicked the "Start Measurement" option in user interface 1070, it may begin collecting post-exercise electrocardiogram (ECG) data. Simultaneously, electronic device 100 may also display related measurement interfaces. For example, the related measurement interfaces for blood pressure measurement can be found in FIG8E-8G , which will not be described here in detail. For another example, the related measurement interface for ECG collection can be found in FIG10H , which will be described later.

[0355] Specifically, the post-exercise physiological data can be collected within a preset time (eg, within 20 minutes) after the user finishes exercising.

[0356] Specifically, post-exercise physiological data can also be collected in one or more of the following scenarios: the electronic device 100 can remind the user to measure post-exercise physiological data after reading the end period of its own or the electronic device 200's exercise course; the electronic device 100 can remind the user to measure post-exercise physiological data after the exercise achieves a preset overall goal (for example, the total distance of outdoor running meets one or more conditions such as 3 kilometers, the total time of outdoor running meets 30 minutes, etc.).

[0357] As shown in FIG. 10B , in some embodiments, the collection of heart rate data after exercise can be automatic without the user having to click a measurement option.

[0358] In some embodiments, post-exercise recovery blood pressure data may be collected multiple times to improve the accuracy of the recovery blood pressure collected after exercise.

[0359] Furthermore, because ECG data can more accurately reflect the user's cardiopulmonary function than heart rate data, after exercise, if abnormal heart rate data is detected multiple times, the electronic device 100 can display a user interface 1070 to prompt the user to measure the ECG. This interface will be introduced later.

[0360] As shown in Figures 10A-10J , after the electronic device 100 completes the collection of physiological data during exercise, such as blood pressure, heart rate, electrocardiogram, and blood oxygen saturation, the user can end the exercise. After detecting that the user has ended the exercise, the electronic device 100 can prompt the user to begin collecting physiological data after the exercise, such as blood pressure and heart rate. When starting to collect physiological data after the exercise, the electronic device 100 can display the relevant measurement interface. For example, the relevant measurement interface for blood pressure measurement can be referred to in Figures 8E-8G above, which will not be repeated here. For another example, the relevant measurement interface for heart rate measurement can be referred to in Figure 10C . If multiple suspected irregular heart rates are detected after exercise, the electronic device 100 can prompt the user to measure the ECG (electrocardiogram). When starting to collect the ECG, the electronic device 100 can display the relevant measurement interface, such as Figure 10H . After the electronic device 100 completes the collection of physiological data after the exercise, such as blood pressure, heart rate, electrocardiogram, and blood oxygen saturation, the electronic device 100 can input all the collected physiological data of the user before, during, and after the exercise into the algorithm model Z, which can output the user's exercise health results.

[0361] Exemplarily, as shown in FIG10A , the electronic device 100 may display a user interface 1010. Optionally, the user interface 1010 may include relevant information for prompting the user to collect post-exercise physiological data, such as “The exercise is over, please measure your blood pressure immediately.” It can be seen from the prompt information that the electronic device 100 prompts the user to measure blood pressure immediately after the exercise. In some examples, the above prompt information may not be conveyed to the user in the form of an interface display, but may be conveyed to the user in other ways, for example, it may be conveyed to the user in the form of a voice broadcast. The user interface 1010 may also include option 1011. Option 1011 can be used to trigger the start of collecting post-exercise physiological data such as blood pressure, so that the electronic device 100 can obtain the maximum value of post-exercise physiological data such as blood pressure throughout the entire exercise process.

[0362] In some embodiments, the electronic device 100 may receive an input operation (e.g., a click) from the user on option 1011. In response to the input operation, the electronic device 100 may begin collecting blood pressure data after exercise while displaying user interface 850 as shown in FIG8E . After the user completes collecting blood pressure data after exercise, the electronic device 100 may display user interface 1020 as shown in FIG10B .

[0363] For example, as shown in FIG10B , the electronic device 100 may display a user interface 1020. Optionally, the user interface 1020 may include relevant information for prompting the user to perform a recovery heart rate measurement, such as, "After exercise, your heart rate generally gradually returns to a resting level. It is recommended that you monitor your heart rate recovery after exercise." This prompting information indicates that the electronic device 100 prompts the user to measure their recovery heart rate after exercise, and that there is no limit to the number of recovery heart rate measurements that can be performed. In some examples, the prompting information may not be displayed on the user interface, but may be conveyed to the user in other ways, such as by voice announcement. The user interface 1020 may also include a countdown control that prompts the user to wait for a preset time period, triggering entry to the user interface 1030 after the countdown ends. The preset time period should be less than or equal to a preset time after the user finishes exercising, which may be 30 seconds. The specific value of the preset time period is not limited in this embodiment of the application.

[0364] Exemplarily, as shown in Figure 10C, the electronic device 100 can display a user interface 1030, which may include relevant information for indicating the recovery heart rate measurement data. The user interface 1030 may also include action prompt information (e.g., "please remain still for 2 minutes") for prompting the user to perform the recovery heart rate measurement. As can be seen from the above prompt information, the action that the electronic device 100 prompts the user to take when measuring the recovery heart rate is to remain still, and the duration for prompting the user to remain still may be, for example, 2 minutes. It will be understood that the above-mentioned recovery heart rate measurement duration of 2 minutes is merely exemplary, and the embodiments of the present application are not limited thereto. In some examples, the above prompt information may not be conveyed to the user in the form of an interface display, but may be conveyed to the user in other ways, for example, it may be conveyed to the user in the form of a voice broadcast.

[0365] Exemplarily, as shown in FIG10D , the electronic device 100 may display a user interface 1040. Optionally, the user interface 1040 may include relevant information for prompting the user to perform the first recovery blood pressure measurement after exercise, such as “Blood pressure generally gradually returns to resting levels after exercise. It is recommended that you monitor the recovery of blood pressure after exercise.” It can be seen from the prompt information that the electronic device 100 prompts the user to measure the recovery blood pressure after exercise. In some examples, the above prompt information may be conveyed to the user not in the form of an interface display, but in other ways, for example, it may be conveyed to the user in the form of a voice broadcast. The user interface 1040 may also include option 1041. Option 1041 can be used to trigger the start of collecting recovery blood pressure data after exercise.

[0366] In some embodiments, the electronic device 100 may receive an input operation (e.g., a click) from a user on option 1041. In response to the input operation, the electronic device 100 may begin collecting the first recovery blood pressure data after exercise, while displaying the user interface 850 shown in FIG8E . After the user completes the collection of the first recovery blood pressure data after exercise, the electronic device 100 may wait for the countdown of a preset time length (e.g., 30 seconds) in the user interface 1050 shown in FIG10E to end before continuing to collect the recovery blood pressure data after exercise, such as the second recovery blood pressure data after exercise. After the user completes the collection of the second recovery blood pressure data after exercise, the electronic device 100 may wait for the countdown of a preset time length (e.g., 30 seconds) in the user interface 1060 shown in FIG10F to end before continuing to collect the recovery blood pressure data after exercise, such as the third recovery blood pressure data after exercise.

[0367] During the interval between blood pressure measurements after exercise, the electronic device 100 can continuously collect the user's post-exercise recovery heart rate. The interval can refer to a preset duration (e.g., 30 seconds) from the start of the countdown to the end of the countdown, for example, the duration from the end of the first post-exercise recovery blood pressure measurement to the start of the second post-exercise recovery blood pressure measurement. Continuous collection can include continuous collection or multiple collections at specific time intervals (e.g., 1 minute).

[0368] In some embodiments, the user's heart rate recovery rate after exercise can be determined based on one or more of the following: heart rate data at the end of the exercise, heart rate data collected by the air pressure sensor, micropump, and airbag, heart rate data collected by the ECG sensor, and heart rate data collected by the PPG sensor. The heart rate at the end of the exercise can be considered the maximum heart rate during the entire exercise.

[0369] After completing the collection of the recovery blood pressure data after exercise, the electronic device 100 may prompt the user to fill out a post-exercise questionnaire, which may include information such as the user's degree of fatigue and abnormal symptoms after the exercise.

[0370] For example, as shown in FIG10G , the electronic device 100 may display a user interface 1070, which may include relevant information for prompting multiple suspected irregular heart rates and suggesting measuring ECG, such as “Multiple suspected irregular heart rates have been detected. It is recommended that you measure an electrocardiogram”. In some examples, the above prompt information may not be conveyed to the user in the form of an interface display, but may be conveyed to the user in other ways, for example, it may be conveyed to the user in the form of a voice broadcast. The user interface 1070 may also include option 1071. Option 1071 may be used to trigger the start of collecting ECG data after exercise.

[0371] In some embodiments, the electronic device 100 may receive an input operation (e.g., a click) from the user on option 1071. In response to the input operation, the electronic device 100 may begin collecting post-exercise ECG data while displaying a user interface 1080 as shown in FIG10H. After the user completes collecting post-exercise ECG data, the electronic device 100 may display a user interface 1090 as shown in FIG10I.

[0372] Exemplarily, as shown in FIG10H , the electronic device 100 may display a user interface 1080. Optionally, the user interface 1080 may include relevant information for prompting the user to perform an ECG acquisition action, such as prompt information "wear on the left hand", "please touch the side electrode and hold" and corresponding action diagrams. It can be seen from the above prompt information that the electronic device 100 can prompt the user that the action to be taken when measuring ECG is to touch the side electrode of the electronic device 100 and hold it for a preset time, and prompt the user to wear the electronic device 100 on the left hand to improve the accuracy of the collected ECG data. The preset time length may be 30 seconds, and the embodiment of the present application does not limit the specific value of the preset time length. In some examples, the above prompt information may be conveyed to the user not in the form of an interface display, but in other ways, for example, it may be conveyed to the user in the form of a voice broadcast.

[0373] Exemplarily, as shown in FIG10I , the electronic device 100 may display a user interface 1090, which may include relevant information for prompting the user to complete the assessment and view the results. The prompt information may be, for example, "You have completed the assessment. Please view the brief assessment results on this device." In some examples, the above prompt information may be conveyed to the user not in the form of an interface display, but in other ways, for example, it may be conveyed to the user in the form of a voice broadcast. The user interface 1090 may also include option 1091. Option 1091 can be used to trigger a jump to the display interface of the sports health results.

[0374] In some embodiments, the electronic device 100 may receive an input operation (e.g., a click) from a user on option 1091. In response to the input operation, the electronic device 100 may display a display interface for the exercise health results (e.g., user interface 1100 shown in FIG10J ). In other embodiments, the electronic device 100 may send the collected physiological data and exercise data to the electronic device 200 through a communication connection between the electronic device 100 and the electronic device 200. After receiving the physiological data and exercise data from the electronic device 100, the electronic device 200 may analyze the user's exercise health results based on the above-mentioned physiological data and exercise data through an algorithm model. Afterwards, the electronic device 200 may display a display interface for the exercise health results.

[0375] Exemplarily, as shown in FIG10J , the electronic device 100 may display a user interface 1100, which may include relevant information on blood pressure response assessment and cardiovascular risk prediction. Among them, the blood pressure response assessment is used to indicate the user's blood pressure level assessment results during the entire exercise process, such as "slow blood pressure recovery" may indicate that the user's blood pressure level recovers slowly. Cardiovascular risk prediction can be used to indicate the user's exercise-related cardiovascular risk assessment results, such as "medium risk" may indicate that the user's cardiovascular risk assessment results are in a non-good state. Interface 1100 may also include a control 1101. The control 1101 can be used to trigger the electronic device 200 to display a detailed exercise health result display interface.

[0376] As shown in Figures 11A-11B, the electronic device 100 can receive an input operation (such as a single click) from the user on the control 1101. In response to the input operation, the electronic device 200 can display a detailed sports health result display interface (such as the user interface 1110 shown in Figure 11B).

[0377] Exemplarily, as shown in FIG11B , the electronic device 200 may display a user interface 1110 of detailed sports health results, which may include blood pressure reaction assessment, cardiovascular risk prediction, result interpretation information, blood pressure control level, and exercise-related information. Among them, the blood pressure reaction assessment is used to indicate the blood pressure level assessment result of the user during the entire exercise process. For example, "blood pressure recovery is slow" may indicate that the user's blood pressure level has recovered slowly. Cardiovascular risk prediction can be used to indicate the user's exercise-related cardiovascular risk assessment result, which can generally indicate the relevant information about the sports health risk obtained by the user completing the exercise-related cardiovascular risk assessment at a certain moment. In some embodiments, the indication information can be in the form of a score, and / or risk level (e.g., low risk, medium risk, or high risk) to show the user's sports health risk. For example, "medium risk" may indicate that the user's cardiovascular risk assessment result is in a non-good state. Result interpretation information can be used to indicate interpretation information of blood pressure reaction assessment and cardiovascular risk prediction, as well as sports health recommendations. The blood pressure control level is used to indicate the changes in the user's blood pressure level throughout the entire exercise process. The user interface 1110 can provide the changes in the user's blood pressure level throughout the exercise process and a numerical display of the changes in the blood pressure level, such as the range of SBP and DBP, the maximum rise / fall, and the recovery rate. Exercise-related information may include items such as distance, exercise duration, average pace, average heart rate, and maximum heart rate. It is understood that the display of this item is merely exemplary and not limited to this. The content of the item may be related to the user's exercise pattern.

[0378] In some embodiments, different exercise-related cardiovascular risk assessment results indicated by the cardiovascular risk prediction are displayed in different colors, for example, "low risk" corresponds to green, "medium risk" corresponds to yellow, and "high risk" corresponds to red. It will be appreciated that when the cardiovascular risk prediction is "high risk," the corresponding exercise health result display interface may also include relevant prompt information.

[0379] This application example conducted experiments on some samples, and the experimental process and results are as follows:

[0380] Sample 1:

[0381] Basic information input: The user is a healthy person and has exercise habits.

[0382] Before the first exercise: No abnormalities were detected in any indicators.

[0383] During the first exercise: No abnormalities were detected in any indicators.

[0384] After the first exercise: When the user measures blood pressure, two consecutive blood pressure measurements reveal irregular heartbeat intervals. The electronic device 100 automatically reminds the user to measure ECG, submits the ECG report to a remote doctor for manual interpretation, and detects ventricular premature trigeminal beats. In some embodiments, the electronic device 100 can analyze the ECG report using an artificial intelligence (AI) model. For example, the electronic device 100 can send the ECG report to the cloud for AI analysis, or send it to other electronic devices connected in the near field (such as the electronic device 200) for AI analysis, or perform AI analysis itself.

[0385] Risk assessment: Among the risk factors, the risk level of heart rate variability is high and the overall risk level is medium.

[0386] Guidance suggestions: The total exercise time is 22 minutes, the reserve heart rate in Zone 1 is 18%, and the reserve heart rate in Zone 2 is 82%. It is recommended to reduce the exercise intensity appropriately.

[0387] In an embodiment of the present application, after receiving physiological data and motion data from the electronic device 100, the electronic device 200 can obtain the user's sports health results based on the above physiological data and motion data through algorithm model analysis, and then the electronic device 200 can display a display interface for the sports health report.

[0388] 12A-12C , the method provided in the embodiment of the present application is described below using the exercise health report of the first exercise in experimental sample 1 as an example.

[0389] 12A-12C exemplarily illustrate the display interface of the exercise health report for the first exercise in Experimental Sample 1.

[0390] The sports health report can be generated based on the user's sports health results. The display interface of the sports health report can include but is not limited to the user interface 1210 shown in Figure 12A, the user interface 1220 shown in Figure 12B, the user interface 1230 shown in Figure 12C, and the user interface 1340 shown in Figure 13D.

[0391] For example, as shown in FIG12A , the electronic device 200 may display a user interface 1210, which may include relevant information for indicating the user's overall exercise health risk obtained by completing an exercise-related cardiovascular risk assessment, such as instruction information 1211. In some embodiments, the instruction information may present the user's exercise health risk in the form of a score and / or risk level (e.g., low risk, medium risk, or high risk). "Medium risk" in instruction information 1211 may indicate that the user's exercise health result is not in a good state. The user interface 1210 may include relevant information for indicating risk factors that affect the user's exercise health result, such as instruction information 1212. The risk factors indicated in instruction information 1212 may include, but are not limited to, blood pressure during exercise, blood pressure recovery rate, heart rate recovery rate, and heart rate variability. Blood pressure during exercise, blood pressure recovery rate, heart rate recovery rate, and heart rate variability may respectively indicate the user's blood pressure when pausing during exercise, blood pressure recovery after exercise, heart rate recovery after exercise, and changes in beat-to-beat heart rate differences. It is easy to understand that the embodiment of the present application is only illustrated by taking the risk factors of the user interface 1210 shown in Figure 12A as an example. In some embodiments, the number of risk factors may be less or more than the number of risk factors of the user interface 1210 shown in Figure 12A. The number of risk factors is related to the types of physiological data collected before, during, and after the exercise. The user interface 1210 may include relevant information for indicating the interpretation of the results of the exercise health results, for example, indication information 1213. The result interpretation information indicated by the indication information 1213 may be an interpretation of the risk factors indicated by the indication information 1212, so that the user can understand the risk factors indicated by the indication information 1212. The user interface 1210 may also include option 1214. This option 1214 can be used to trigger entry into the user interface 1220.

[0392] In some embodiments, the electronic device 200 may receive an input operation (eg, a single click) from a user on the option 1214 . In response to the input operation, the electronic device 200 may display a user interface 1220 as shown in FIG. 12B .

[0393] Exemplarily, as shown in FIG12B , the electronic device 200 can display a user interface 1220, which can provide the user's resting blood pressure, heart rate and other physical health conditions (before exercise), blood pressure, heart rate and other physical health conditions during exercise, and blood pressure, heart rate and other physical health conditions during exercise recovery (after exercise). Among them, the user's resting blood pressure, heart rate and other physical health conditions can be displayed in a numerical manner, and the level of the above-mentioned physical health conditions can be evaluated. For example, the user interface 1220 shown in FIG12B shows that the user of experimental sample 1 has a resting blood pressure of 124 / 74 mmHg, which is at a normal level, and a heart rate of 72 beats / min, which is also at a normal level. The user's blood pressure, heart rate and other physical health conditions during exercise and exercise recovery can be displayed in a graphical manner, and the electronic device 200 can display the result interpretation and suggestions for the physical health conditions during and after exercise. The suggestions are related to the user's basic information and the interpretation of the user's physical health conditions at different stages. For example, the first case shows the suggestion "It is recommended to maintain aerobic exercise", and the basic information of the user corresponding to the suggestion includes that he is over 35 years old and plays badminton every week. The interpretation of the physical health status at different stages corresponding to the suggestion is that the heart rate is 110 beats / minute after running for 5 minutes, the blood pressure exceeds 190mmHg, and the hospital examination results show mild arterial stenosis. The second case shows the suggestion "It is recommended to seek medical examination", and the basic information of the user corresponding to the suggestion includes that he is over 28 years old. The interpretation of the physical health status at different stages corresponding to the suggestion is that the resting blood pressure is 110mmHg, and after jogging for 5 minutes, the blood pressure abnormally dropped to below 60mmHg. The third case shows the suggestion "It is recommended to seek medical examination", and the basic information of the user corresponding to the suggestion includes that he is over 35 years old and runs every week. The interpretation of the physical health status at different stages corresponding to the suggestion is that after running for half an hour, the rate of prolonged premature ventricular contractions and triples is high.

[0394] 10G-10H , when the electronic device 100 detects that the user has multiple suspected irregular heart rates, the user can choose to measure ECG. The ECG results and related interpretations can be displayed in the user interface 1220 to help the user know the potential risks in a timely manner. Furthermore, it is convenient for the user to actively take intervention measures to avoid the occurrence of cardiovascular risk events due to excessive exercise intensity, thereby improving the user experience.

[0395] In some embodiments, as shown in Figure 12C, the electronic device 200 can display a user interface 1230 as a display interface for the sports health report of the experimental sample 1. The user interface 1230 may include relevant information for indicating the sports health results obtained by completing the sports-related cardiovascular risk assessment over a long period of time (such as weeks / months / years), for example, instruction information 1231. The instruction information 1231 may include a time unit control 1231a and a time selection control 1231b. Among them, the time unit control 1231a can be used for the user to select the time unit for statistical sports health results. The time selection control 1231b can be used for the user to select the time range for statistical sports health results.

[0396] Before the second exercise: the electronic device 100 reminds the user of the evaluation suggestions for the last exercise, and no abnormalities are detected in any indicators.

[0397] During the second exercise: no abnormalities were detected in any indicators, and the heart rate was controlled in reserve heart rate zone 1 (92%) and reserve heart rate zone 2 (8%).

[0398] After the second exercise: no abnormalities were detected in any indicators.

[0399] Risk assessment: No high-level risk factors were detected and the overall risk level was low.

[0400] Guidance: Continue to maintain and increase exercise intensity with caution.

[0401] Through this method, users can promptly detect exercise-induced arrhythmias, avoid more serious symptoms of myocardial ischemia, and provide timely reminders and suggestions.

[0402] Sample 2:

[0403] Basic information input: The user's physical examination at the hospital revealed abnormalities, including an electrocardiogram (ECG) showing an abnormal ST segment, a cardiac computed tomography (CT) scan showing mild coronary artery stenosis, and a carotid artery ultrasound showing a rough endothelium. The doctor's advice was to exercise more, pay attention to diet, and lose weight appropriately.

[0404] Before the first exercise: Resting blood pressure is high normal and heart rate is normal.

[0405] During the first exercise: I ran in reserve heart rate zone 1 for 5 minutes and stopped to measure my blood pressure. The measurement result showed that my systolic blood pressure (SBP) was greater than 190 mmHg.

[0406] After the first exercise: Rest immediately, blood pressure will return to normal after 10 minutes.

[0407] Risk assessment: Among the risk factors, the risk level of hypertension reaction during exercise is high, and the overall risk level is high.

[0408] Guidance: It is recommended to reduce the intensity of exercise appropriately.

[0409] Figures 13A-13C illustrate user interface diagrams of the method provided in the embodiments of the present application, using the exercise health report for the first exercise in Experimental Sample 2 as an example. For descriptions of user interfaces 1310, 1320, and 1330 shown in Figures 13A-13C, reference can be made to the relevant content in the embodiments of Figures 12A-12C above, and no further details will be given here.

[0410] In some embodiments, as shown in FIG13D , the electronic device 200 may display a user interface 1340 as a display interface for the exercise health report of the experimental sample 2 .

[0411] FIG13D exemplarily shows the display interface of the exercise health report of the first exercise in experimental sample 2.

[0412] For example, as shown in FIG13D , the electronic device 200 may display a user interface 1340, which may include relevant information for generally indicating the user's exercise-related health risk resulting from completing an exercise-related cardiovascular risk assessment at a particular moment, such as indication information 1341. In some embodiments, the indication information may present the user's exercise health risk in the form of a score and / or risk level (e.g., low risk, medium risk, or high risk). "Medium risk" in indication information 1341 may indicate that the user's exercise health results are not in a favorable state. The user interface 1340 may provide information about the user's physical health status, such as blood pressure and heart rate, during exercise, as well as their physical health status during recovery (after exercise). The user's physical health status, such as blood pressure and heart rate, during exercise and during recovery may be displayed in the form of a graph, and the electronic device 200 may display interpretations and recommendations for the physical health status during and after exercise. The user interface 1340 may also include relevant information for indicating the interpretation of the exercise health results, such as indication information 1342. The interpretation information indicated in indication information 1342 may be an interpretation of the user's physical health status, such as blood pressure and heart rate, during exercise and during recovery.

[0413] Before the second exercise: resting blood pressure is at a high normal level and heart rate is normal.

[0414] During the second exercise: the exercise method was changed from running to badminton (doubles), the heart rate was lower than the reserve heart rate zone 1, or was in the reserve heart rate zone 1 for a short time; no abnormalities were detected in blood pressure measurements during exercise intervals.

[0415] After the second exercise: no abnormalities were detected in any indicators.

[0416] Risk assessment: No high-level risk factors were detected and the overall risk level was low.

[0417] Guidance: Continue to maintain the condition. If no hypertension occurs during exercise, you can increase the intensity of exercise with caution.

[0418] Sample 3:

[0419] Basic information input: female, thin, mildly anemic, no exercise habits, feels uncomfortable when exercising, and does not understand the cardiovascular risks associated with exercise.

[0420] Before the first exercise: blood pressure and heart rate are normal.

[0421] During the first exercise session, I ran for 5 minutes (jogging) in reserve heart rate zone 1. I stopped to measure my blood pressure, and my SBP dropped by more than 30 mmHg compared to before the exercise. I felt dizzy, chest tightness, nausea, and unsteady.

[0422] After the first exercise: stop exercising immediately, sit on a chair and rest. After 10 minutes, blood pressure will return to normal and walking gait will return to normal.

[0423] Risk assessment: The risk factors are high, the risk level of blood pressure during exercise is high, and the overall risk level is high.

[0424] Guidance: It is recommended to change from jogging to brisk walking, and blood pressure levels should be assessed during exercise.

[0425] Before the second exercise: The last evaluation results are repeated and no abnormalities are detected in the indicators this time.

[0426] During the second exercise: the exercise method was changed from jogging to brisk walking, and no abnormalities were detected in blood pressure measurements during exercise intervals.

[0427] After the second exercise: no abnormalities were detected in any indicators.

[0428] Risk assessment: No high-level risk factors were detected and the overall risk level was low.

[0429] Guidance: Continue to maintain your exercise intensity. If there is no risk of hypotension during exercise, you can increase the intensity of exercise with caution.

[0430] Sample 4:

[0431] Basic Information Input: Elderly individuals aged 65 or older with multiple underlying medical conditions, lack of exercise habits, and rarely go out except for housework and grocery shopping; easily fatigued and have low physical strength. Doctors recommend taking medication on time and engaging in moderate outdoor activities, such as walking.

[0432] Before the first exercise: SBP was 154 mmHg, diastolic blood pressure (DBP) was 92 mmHg, and heart rate was normal.

[0433] During the first exercise session, after a 5-minute brisk walk (5.8 km / h), wrist gesture recognition detected poor gait stability, below the threshold, prompting a fall risk alert. The user paused to measure their blood pressure, which was 182 mmHg SBP and 99 mmHg DBP, both high and near the threshold. The user took a short break, then switched to a slower walk (4.2 km / h), stopping the exercise after 20 minutes.

[0434] After the first exercise: No abnormalities were detected in any indicators.

[0435] Risk assessment: Among the risk factors, the risk of falling during exercise is medium, the risk level of hypertension reaction is medium, and the overall risk level is medium.

[0436] Guidance: It is recommended to walk slowly, control the speed to no more than 5.8km / h, and pay attention to blood pressure levels during exercise.

[0437] Before the second exercise: No abnormalities were detected in any indicators.

[0438] During the second exercise: walk slowly, and the exercise time is gradually extended from 20 minutes to 40 minutes.

[0439] After the second exercise: no abnormalities were detected in any indicators.

[0440] Risk assessment: No high-level risk factors were detected and the overall risk level was low.

[0441] Guidance: Continue to maintain the exercise intensity. If there is no risk of falling or hypertension, you can increase the intensity of exercise with caution.

[0442] In some embodiments, the electronic device 200 can plot a relationship between a user's specific metric and age at the same exercise intensity based on population-wide big data, and indicate the user's position in the population for that metric. Exercise intensity can be represented by heart rate reserve / pace / equivalent / cadence / power / accumulated exercise volume / heart rate reserve at end of exercise / blood pressure at end of exercise, etc. A user's specific metric can be, for example, the level of SBP / DBP / pulse pressure (PP) / heart rate, or the recovery rate of heart rate / SBP / DBP, or pulse wave velocity. Taking pulse wave velocity as an example, as shown in FIG14 , at a certain exercise intensity, a user's blood vessels generally become stiffer with age, meaning their pulse wave velocity increases, which means their cardiovascular health deteriorates. At the same exercise intensity (e.g., the same pace), the pulse wave velocity of the user shown in FIG14 is lower than the average for peers, but higher than a healthy value. The electronic device 200 can interpret the statistical graph shown in FIG14 and provide suggestions (e.g., "Your arterial elasticity is good. We recommend that you maintain good living habits and continuously monitor your vascular health and its changing trends"). Optionally, the electronic device 200 can send the above data to the electronic device 100 and display the above statistical graph on the electronic device 100. Thus, by displaying the statistical graph, the user can intuitively understand the health level of their cardiovascular system.

[0443] In some embodiments, the electronic device 200 can fit a trend graph of changes in the user's physiological data at different exercise intensities (for example, which can be represented by heart rate) based on the user's multiple exercise data. Take blood pressure as an example, as shown in Figure 15. Generally speaking, as the intensity of exercise increases, the user's blood pressure will gradually increase. The electronic device 200 can give the user advice based on the trend graph shown in Figure 15 (for example, "The probability of abnormal blood pressure within the XX pace range and XX heart rate range is low, and it is recommended to control the pace within the XX range and the heart rate within the XX range during exercise"). Optionally, the electronic device 200 can send the above data to the electronic device 100 and display the trend graph on the electronic device 100. In this way, by displaying the trend graph, the user can further understand the exercise capacity of his or her cardiopulmonary system, which helps the user to reasonably control his or her own exercise intensity to ensure the effectiveness of the exercise.

[0444] In some possible implementations, in order to obtain a multi-dimensional cardiovascular health assessment result of the user, the electronic device 100 may measure the blood pressure multiple times after detecting that the user has finished exercising. For example, take the example of the electronic device 100 measuring the blood pressure three times after the user has finished exercising. The electronic device 100 may measure the blood pressure three times after the user has finished exercising, and obtain the first blood pressure after the exercise, the second blood pressure after the exercise, and the third blood pressure after the exercise. Specifically, the electronic device 100 may measure the blood pressure once immediately after the user finishes exercising, and obtain the first blood pressure after the exercise. Then, the electronic device 100 may measure the blood pressure of the user after the first time period after the user finishes exercising, and obtain the second blood pressure after the exercise. Then, the electronic device 100 may measure the blood pressure of the user after the second time period after the user finishes exercising, and obtain the third blood pressure after the exercise. For example, the first time period may be 3 minutes after the user finishes exercising, and the second time period may be 6 minutes after the user finishes exercising. The embodiment of the present application does not specifically limit the first time period and the second time period.

[0445] In some embodiments, we may refer to the first blood pressure after exercise, the second blood pressure after exercise, and the third blood pressure after exercise as post-exercise blood pressure.

[0446] In one possible implementation, post-exercise blood pressure is determined by the user's pulse oscillation wave signal measured by the electronic device 100 after the user finishes exercising, as well as the user's resting blood pressure result measured by the electronic device 100 before the user's exercise. The resting blood pressure result may include the user's systolic blood pressure, diastolic blood pressure, and / or heart rate. The resting blood pressure result may be measured by the electronic device 100 before the user's current exercise. Alternatively, the resting blood pressure result may also be historical resting blood pressure data of the user stored by the electronic device 100.

[0447] In one possible implementation, the blood pressure response assessment (also known as the exercise blood pressure response assessment) includes a hypertension response assessment, a hypotension response assessment, and a blood pressure recovery assessment. The hypertension response assessment is derived from pre-exercise blood pressure, during-exercise blood pressure (or exercise interval blood pressure), or post-exercise blood pressure (one or more of the first, second, and third post-exercise blood pressure measurements).

[0448] The hypotensive response assessment can be obtained from the blood pressure before exercise and the first blood pressure after exercise. Alternatively, the hypotensive response assessment can be obtained from the blood pressure before exercise and the first blood pressure after exercise, as well as the blood pressure during exercise. In other words, if the blood pressure before exercise or the first blood pressure after exercise is missing, the electronic device 100 cannot obtain the hypotensive response assessment.

[0449] The blood pressure recovery assessment can be used to evaluate whether a user's blood pressure is recovering slowly after exercise. The blood pressure recovery assessment can be derived from the pre-exercise blood pressure and the third post-exercise blood pressure measurement. Alternatively, the blood pressure recovery assessment can be derived from the pre-exercise blood pressure, the third post-exercise blood pressure, and the blood pressure during exercise. That is, if the pre-exercise blood pressure or the third post-exercise blood pressure is missing, the electronic device 100 cannot determine the blood pressure recovery assessment.

[0450] In a possible implementation, cardiovascular risk prediction (also referred to as exercise cardiovascular risk assessment) can be obtained by pre-exercise physiological data and post-exercise physiological data. Alternatively, cardiovascular risk prediction can be obtained by pre-exercise physiological data, post-exercise physiological data, and physiological data during exercise. Wherein, pre-exercise physiological data can include pre-exercise blood pressure, post-exercise physiological data can include the first blood pressure after exercise, the second blood pressure after exercise, and the third blood pressure after exercise, and the physiological data during exercise can include blood pressure during exercise.

[0451] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

[0452] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0453] As used in the above embodiments, the term “when…” may be interpreted to mean “if…” or “after…” or “in response to determining…” or “in response to detecting…”, depending on the context. Similarly, the phrases “upon determining…” or “if (stated condition or event) is detected” may be interpreted to mean “if determining…” or “in response to determining…” or “upon detecting (stated condition or event)” or “in response to detecting (stated condition or event)”, depending on the context.

[0454] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of 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, the process or function described in the embodiment of the present application is generated in whole or in part. 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 computer-readable storage medium. 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 a wired (e.g., coaxial cable, optical fiber, digital subscriber line) or wireless (e.g., infrared, wireless, microwave, etc.) method. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrations. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state hard disk).

[0455] Those skilled in the art will appreciate that all or part of the process steps in the above-described method embodiments can be implemented by a computer program instructing the relevant hardware. The program can be stored in a computer-readable storage medium, and when executed, the program can include the process steps in the above-described 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.

Claims

1. A detection method, characterized in that: The method comprises: The first electronic device collects pre-exercise physiological data before the user starts the first exercise; The first electronic device collects physiological data during the user's first exercise; The first electronic device collects post-exercise physiological data after the user finishes the first exercise; The first electronic device obtains the user's exercise health result based on the pre-exercise physiological data, the in-exercise physiological data, and the post-exercise physiological data, and outputs the exercise health result.

2. The method according to claim 1, characterized in that Also includes: The first electronic device displays a first report describing the sports health results, and sends the sports health results to a second electronic device, so that the second electronic device displays a second report describing the sports health results; wherein the content of the first report is less than the content of the second report.

3. The method according to claim 2, characterized in that The first electronic device includes a wearable device, and a display screen of the second electronic device is larger than a display screen of the first electronic device.

4. The method according to any one of claims 1 to 3, characterized in that Also includes: The first electronic device displays a first prompt during the process of the user performing the first exercise, where the first prompt is used to indicate health abnormalities of the user during the process of the first exercise, and the first prompt is generated based on the physiological data during the exercise, or based on the physiological data before the exercise and the physiological data during the exercise.

5. The method according to claim 4, characterized in that The health abnormalities include one or more of the following: abnormally high blood pressure, abnormally low blood pressure, slow reaction, arrhythmia, abnormal ST segment changes, and abnormally low blood oxygen.

6. The method according to any one of claims 1 to 5, characterized in that The exercise health result includes a blood pressure assessment result, and the blood pressure assessment result is generated based on the pre-exercise physiological data, the in-exercise physiological data, the post-exercise physiological data, or based on the pre-exercise physiological data and the post-exercise physiological data.

7. The method according to any one of claims 1 to 6, characterized in that The exercise health results include cardiovascular risk prediction, which is generated based on two or three of the pre-exercise physiological data, the in-exercise physiological data, and the post-exercise physiological data, and one or more of the exercise pattern, the pre-exercise questionnaire, and the post-exercise questionnaire.

8. The method according to any one of claims 1 to 7, characterized in that: The process in which the user performs the first movement includes a movement interval in which the user performs the first movement.

9. The method according to any one of claims 1 to 8, characterized in that: Before collecting the pre-exercise physiological data, the method further includes: The first electronic device acquires the user's exercise pattern, and selects an algorithm model for analyzing the exercise health result according to the exercise pattern; wherein the motion pattern includes the first motion; The first electronic device obtains the exercise health result of the user based on the pre-exercise physiological data, the in-exercise physiological data, and the post-exercise physiological data, specifically including: The first electronic device uses the algorithm model to analyze the pre-exercise physiological data, the in-exercise physiological data, and the post-exercise physiological data to obtain the exercise health result of the user.

10. The method according to claim 9, characterized in that The first electronic device obtains the motion pattern of the user, specifically including: The first electronic device acquires the motion pattern based on the user's input; or, The first electronic device collects motion data of the user when starting the first motion, and then determines the motion mode based on the motion data.

11. The method according to any one of claims 1 to 10, characterized in that Also includes: If it is detected that the physiological data during the exercise deviates from the normal physiological data of the user, the first electronic device displays a first user interface, the first user interface including a second prompt, the second prompt being used to indicate the risk existing when the user performs the first exercise; wherein the normal physiological data is a reference value of the physiological data of the user when performing the first exercise determined based on the pre-exercise physiological data.

12. The method according to any one of claims 1 to 11, characterized in that The exercise health result also includes a first assessment, and the first assessment is used to indicate an exercise recommendation for the user to perform the first exercise.

13. The method according to claim 12, characterized in that Also includes: The first electronic device obtains the exercise health results of the user in different exercise states during the first exercise based on the exercise data during the first exercise and the physiological data during the exercise. The first evaluation is specifically used to indicate an exercise state that is suitable or unsuitable for the user in the different exercise states.

14. The method according to any one of claims 1 to 13, characterized in that: The method further comprises: The first electronic device obtains exercise suggestions before the first exercise starts based on historical physiological data and historical motion data, the historical physiological data including physiological data collected before the start of the last exercise of the first exercise, physiological data collected during the last exercise, and physiological data collected after the end of the last exercise, the historical motion data including motion data of the last exercise, and the exercise suggestions before the start of the first exercise include a second evaluation, and the second evaluation is used to indicate whether the user is suitable or not suitable for the first exercise.

15. The method according to any one of claims 1 to 14, characterized in that: The physiological data during exercise includes one or more of the following: heart rate, blood pressure, electrocardiogram, and blood oxygen; The first electronic device collects physiological data during the user's first exercise, specifically including: The first electronic device displays a second user interface during the process of the user performing the first exercise, wherein the second user interface includes: exercise data and heart rate of the user during the process of the user performing the first exercise; The second user interface also includes a motion pause control; The first electronic device detects that the user clicks the motion pause control, pauses the collection of the motion data, and displays a third user interface; The third user interface includes one or more of the following options: a blood pressure measurement option, an electrocardiogram collection option, and a blood oxygen measurement option.

16. The method according to any one of claims 1 to 15, characterized in that: After the user finishes the first exercise specifically refers to before a first time period after the user finishes the first exercise.

17. The method according to any one of claims 1 to 16, characterized in that: The post-exercise physiological data includes one or more of the following: heart rate, blood pressure, electrocardiogram, blood oxygen; After the user finishes the first exercise, the first electronic device collects post-exercise physiological data, specifically including: The second user interface also includes a motion end control; The first electronic device detects that the user clicks on the motion end control, ends collecting the motion data, and displays a fourth user interface; The fourth user interface includes a countdown control, the duration of the countdown control is set to a second duration, and the second duration is less than or equal to the first duration; When the countdown control ends, the first electronic device displays a fifth user interface, which includes one or more of the following options: a blood pressure measurement option, a heart rate measurement option, an electrocardiogram collection option, and a blood oxygen measurement option.

18. The method according to any one of claims 1 to 17, characterized in that: The outputting of the sports health result specifically includes: Display one or more of the following risk factor items: risk factor items evaluated based on the physiological data during exercise, and risk factor items evaluated based on the physiological data after exercise; The comprehensive risk level of the user performing the first exercise is displayed, where the comprehensive risk level is determined based on the risk level of the risk factor item assessed based on the physiological data during the exercise and the risk level of the risk factor item assessed based on the physiological data after the exercise.

19. An electronic device, characterized in that: The electronic device includes a processor and a memory; wherein the memory is coupled to the processor, and the memory is used to store computer program code, and the computer program code includes computer instructions. When the processor executes the computer instructions, the electronic device executes the method as described in any one of claims 1-18.

20. A computer storage medium, characterized in that The computer storage medium stores a computer program, wherein the computer program includes program instructions. When the program instructions are executed on an electronic device, the electronic device executes the method according to any one of claims 1 to 18.

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