TWI792223B - Health monitoring method, electronic equipment and computer storage medium - Google Patents

Abstract

The present application provides a health monitoring method, electronic equipment, and a computer storage medium. The health monitoring method includes: obtaining a cardiac cycle sequence corresponding to a user according to a preset duration; calculating Physiological parameters corresponding to the user according to a preset calculation formula and the cardiac cycle sequence; obtaining user information corresponding to the user; performing peer-level data comparison operations based on the user information and the physiological parameters and obtaining difference data; according to the difference data, obtaining corresponding health status of the user. By using this application, the efficiency of health monitoring can be improved.

Description

Health monitoring method, electronic device and computer storage medium

The invention relates to the field of physiological data analysis, in particular to a health monitoring method, electronic equipment and a computer storage medium.

At present, the way people obtain health status is mainly through diagnosis by professionals in medical institutions. However, the shortage of medical resources and the busy work make it impossible for people to go to medical institutions in time, so it is difficult to meet the needs of obtaining their own health status in a timely manner. At the same time, when people's health problems occur but are not detected in time, they often cause serious health problems over time. Therefore, how to improve the efficiency of health monitoring and realize people's demand for obtaining health status in a timely manner has become an urgent problem to be solved.

In view of this, the main purpose of this application is to provide a health monitoring method, electronic equipment and computer storage medium, aiming at solving the technical problem of how to improve the efficiency of health monitoring.

The first aspect of the present application provides a health monitoring method. The health monitoring method includes: acquiring the cardiac cycle sequence corresponding to the user according to a preset duration; Corresponding physiological parameters; obtaining user information corresponding to the user; performing peer data comparison calculations according to the user information and the physiological parameters to obtain difference data; and obtaining the corresponding health status of the user according to the difference data.

According to an optional embodiment of the present application, according to the preset calculation formula and the For the cardiac cycle sequence, calculating the physiological parameters corresponding to the user includes: calculating the number of cardiac cycles corresponding to the cardiac cycle sequence; when the number of cardiac cycles is greater than or equal to a preset threshold, according to the preset calculation formula and the Cardiac cycle sequence, calculating physiological parameters corresponding to the user.

According to an optional embodiment of the present application, the calculating the number of cardiac cycles corresponding to the cardiac cycle sequence includes: obtaining the cardiac cycle value corresponding to the cardiac cycle sequence; calculating the value of each cardiac cycle value and the cardiac cycle value The quotient of the corresponding previous cardiac cycle value; when the quotient is greater than the preset quotient value, the cardiac cycle value is eliminated to obtain the processed cardiac cycle sequence; the processed cardiac cycle sequence is calculated corresponding to number of cardiac cycles.

According to an optional embodiment of the present application, the method further includes: when the number of cardiac cycles is less than the preset threshold, generating corresponding prompt information according to a preset prompt rule.

According to an optional embodiment of the present application, the comparison operation of peer data according to the user information and the physiological parameters to obtain the difference data includes: performing numerical calibration on the physiological parameters according to preset calculation rules , to obtain the target physiological parameters; according to the user information and the target physiological parameters, perform comparison calculations on data of the same age group to obtain difference data.

According to an optional embodiment of the present application, the acquiring the cardiac cycle sequence corresponding to the user according to the preset duration includes: determining whether the user is in the destination area corresponding to the target display screen; when the user is in the destination area , controlling the target display screen to play the target video; when the target video is played, according to the preset duration, obtain the corresponding cardiac cycle sequence of the user.

According to an optional embodiment of the present application, the method further includes: determining the exercise intensity corresponding to the user according to the physiological parameters, and determining the exercise target heart rate corresponding to the exercise intensity; when it is detected that the user corresponds to When the instant heart rate is greater than the exercise target heart rate, a safety reminder will be given according to the preset reminder rules.

According to an optional embodiment of the present application, the method further includes: according to the key Health status, determine the target exercise duration corresponding to the user; determine the actual exercise duration corresponding to the user; calculate the difference between the actual exercise duration and the target exercise duration, and according to the difference Generate corresponding prompt information.

A second aspect of the present application provides an electronic device, which includes: a storage for storing at least one instruction; and a processor for implementing the health monitoring method as described above when executing the at least one instruction.

A third aspect of the present application provides a computer-readable storage medium, wherein at least one instruction is stored in the computer-readable storage medium, and the at least one instruction implements the health monitoring method as described above when executed by a processor.

It can be seen from the above technical solutions that the application obtains the corresponding cardiac cycle sequence of the user according to the preset duration, and calculates the corresponding physiological parameters of the user according to the preset calculation formula and the cardiac cycle sequence; then obtains The user information corresponding to the user, and according to the user information and the physiological parameters, perform a comparison operation on the data of the same age group to obtain the difference data, and through the comparison operation with the data of the same age group, obtain the information of the user and other users of the same age of the user Difference data; finally, according to the difference data, the corresponding health status of the user is obtained, which improves the efficiency of health monitoring

301: communication interface

302: storage

303: Processor

304: Input/Output (Input/Output, I/O) interface

305: busbar

S11~S15: Steps

In order to more clearly illustrate the technical solutions in the embodiments of the present application or in the prior art, the accompanying drawings that need to be used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the accompanying drawings in the following description are only It is an embodiment of the present application, and those skilled in the art can also obtain other drawings according to the provided drawings without creative work.

FIG. 1 is a schematic flowchart of a health monitoring method according to an embodiment of the present application.

FIG. 2 is a schematic diagram of a scene of a cardiac cycle sequence according to an embodiment of the present application.

Fig. 3 is a schematic structural block diagram of an electronic device provided by an embodiment of the present application.

The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

The schematic flow chart shown in the drawings is only an illustration, and does not necessarily include all contents and operations/steps, nor must they be performed in the order described. For example, some operations/steps can be decomposed, combined or partly combined, so the actual order of execution may be changed according to the actual situation.

Embodiments of the present application provide a health monitoring method, electronic equipment, and a computer-readable storage medium. Among them, the health monitoring method can be applied to a terminal device or a server. The terminal device can be electronic equipment such as a smart TV, a mobile phone, a tablet computer, a notebook computer, a desktop computer, and a personal digital assistant. The server can be a single The server can also be a server cluster composed of multiple servers. The following uses the health monitoring method applied to a server as an example for explanation.

Some implementations of the present application will be described in detail below in conjunction with the accompanying drawings. In the case of no conflict, the following embodiments and features in the embodiments can be combined with each other.

Please refer to FIG. 1 . FIG. 1 is a schematic flowchart of a health monitoring method provided by an embodiment of the present application. According to different requirements, the order of the steps in the schematic flowchart can be changed, and some can be omitted. As shown in Figure 1, the health monitoring method specifically includes:

Step S11 , according to the preset duration, acquire the cardiac cycle sequence corresponding to the user.

Optionally, based on remote photoplethysmography (Remote Photoplethysmography, rPPG), a cardiac cycle sequence corresponding to the user may be acquired according to a preset duration. Cardiac cycle refers to the process experienced by the cardiovascular system from the start of one heartbeat to the start of the next heartbeat. A cardiac cycle sequence is composed of multiple cardiac cycles. The heartbeat The periodic sequence may be an RR interval (RR interval, RRI) sequence in the ECG signal, that is, an RRI sequence, as shown in FIG. 2 .

Optionally, the server can establish communication with a pre-set AI Camera with rPPG to obtain the cardiac cycle sequence corresponding to the user. Wherein, AI Camera may include AI BioCamera.

For example, the preset duration is 5 minutes, and the cardiac cycle sequence of the user within 5 minutes is acquired. The preset duration can be set according to actual needs, and there is no limitation here.

In some implementations, the acquiring the cardiac cycle sequence corresponding to the user according to the preset duration includes: determining whether the user is in the destination area corresponding to the target display screen; when the user is in the destination area, controlling the display The target video is played on the screen; when the target video is played, the cardiac cycle sequence corresponding to the user is acquired according to the preset duration.

Optionally, according to the location of the target display, a destination area corresponding to the target display screen is determined, and when the user is in the destination area, the user can watch the video played on the target display. For example, an infrared sensor can be used to determine whether the user is in the destination area.

Optionally, the target display may include a TV screen and a computer monitor; the target video may include a natural scenery video and a pet video.

In some embodiments, when the playing of the target video ends, after an interval of a preset waiting time, the cardiac cycle sequence corresponding to the user is acquired according to the preset time. For example, the preset waiting time is 3 minutes, and the preset waiting time is 5 minutes. When the target video is played, after an interval of 3 minutes, the user's cardiac cycle sequence within 5 minutes is acquired.

In some embodiments, when the playing of the target video ends, acquiring the cardiac cycle sequence corresponding to the user according to the preset duration may include: determining the effective viewing time of the user when the playing of the target video ends , when the effective viewing time of the user reaches the preset viewing time When the duration is determined, the cardiac cycle sequence corresponding to the user is acquired according to the preset duration.

Optionally, the effective viewing time of the user is determined according to the duration of time the user is in the destination area. The preset viewing duration can be set according to actual conditions, and is not limited here.

Step S12: Calculate the physiological parameters corresponding to the user according to the preset calculation formula and the cardiac cycle sequence.

The physiological parameters may include heart rate (Heart rate, HR) and RR intervals (standard deviation of NN intervals, SDNN) of all sinus beats.

The preset calculation formulas may include SDNN calculation formulas and average HR calculation formulas.

；其中，RR_i為第i個RRI序列對應的RRI數值；Mean RR為RRI序列對應的平均值。 The calculation formula of SDNN is

; Among them, RR _i is the RRI value corresponding to the i-th RRI sequence; Mean RR is the average value corresponding to the RRI sequence.

；其中，RR_i為第i個RRI序列對應的RRI數值。 The calculation formula of Mean RR is

; Among them, RR _i is the RRI value corresponding to the i-th RRI sequence.

The average HR calculation formula is Mean HR=60×1000÷Mean RR; where, Mean RR is the average value corresponding to the RRI sequence.

The physiological parameters may also include SD1 parameters and SD2 parameters. The SD1 parameter and the SD2 parameter are transient variability parameters in the RR interval (RR interval, RRI). Optionally, calculate SD1 parameters and SD2 parameters according to HRV nonlinear analysis and the cardiac cycle sequence, where the HRV nonlinear analysis includes HRV Poincare Plot analysis.

In some implementations, the calculation of the physiological parameters corresponding to the user according to the preset calculation formula and the cardiac cycle sequence includes: calculating the number of cardiac cycles corresponding to the cardiac cycle sequence; when the number of cardiac cycles is greater than or equal to the preset threshold, according to the preset calculation formula and the cardiac cycle sequence, calculate Calculate the physiological parameters corresponding to the user.

The cardiac cycle number corresponding to the cardiac cycle sequence may be the RRI number corresponding to the RRI sequence. For example, the preset threshold is 180, and the number of RRIs corresponding to the RRI sequence is calculated, that is, the number of RRIs. When the number of RRIs is greater than or equal to the preset threshold of 180, the preset calculation formula and the cardiac cycle sequence are used to calculate the Physiological parameters corresponding to the user. The preset threshold can be customized and set according to the actual needs of the user, again without any limitation. By setting a preset threshold and comparing the number of cardiac cycles in the cardiac cycle sequence with the preset threshold, the accuracy of calculating the physiological parameters is improved.

In some embodiments, the method further includes: when the number of cardiac cycles is less than the preset threshold, generating corresponding prompting information according to a preset prompting rule.

The prompt information can be used to remind the user that physiological analysis cannot be performed at present, and can also be used to remind the subject to seek medical assistance if he feels unwell. For example, the preset threshold is 180, and the number of RRIs corresponding to the RRI sequence is calculated, that is, the number of RRIs. When the number of RRIs is less than the preset threshold of 180, it is determined that the RRI sequence does not meet the calculation requirements, that is, it is determined that the cardiac If the periodic sequence does not meet the calculation requirements, a corresponding prompt message will be generated. Optionally, different prompt information is generated according to the number of times the number of cardiac cycles is less than the preset threshold. For example, when the number of times the number of cardiac cycles is less than the preset threshold is 1, the prompt information may be: physiological analysis cannot be performed due to too large variation. If you feel unwell, please consult a doctor, or keep calm and do not shake and measure again to confirm. When the number of times the number of cardiac cycles is less than the preset threshold is 2, the prompt information may be: physiological analysis cannot be performed due to too large variation. If you feel unwell, please consult a doctor, or take a measurement after resting for 2 hours.

In some implementations, the calculating the number of cardiac cycles corresponding to the cardiac cycle sequence includes: obtaining the cardiac cycle value corresponding to the cardiac cycle sequence; calculating the number of cardiac cycles corresponding to each cardiac cycle value and the cardiac cycle value The quotient value of the cycle value; when the quotient value is greater than the preset quotient value, the value of the cardiac cycle is eliminated to obtain the processed cardiac cycle sequence; the number of cardiac cycles corresponding to the processed cardiac cycle sequence is calculated.

Calculate the quotient of each cardiac cycle value and the previous cardiac cycle value corresponding to the cardiac cycle value, that is, calculate the cardiac cycle value corresponding to the nth cardiac cycle sequence and the cardiac cycle value corresponding to the n-1 cardiac cycle sequence business value. For example, the preset quotient value is 0.3, when the quotient of the RRI value corresponding to the nth cardiac cycle sequence and the RRI value corresponding to the n-1th cardiac cycle sequence is less than 0.3, that is, when RRI(n)RRI(n- When the quotient of 1) is less than 0.3, the RRI(n) is eliminated to obtain the processed cardiac cycle sequence.

Preset the quotient value, and eliminate abnormally fluctuating cardiac cycle values based on the preset quotient value. By adding judgment exclusion, it avoids the calculation of the physiological state caused by the shaking of the user, thereby further improving the accuracy of the calculation of physiological parameters.

Step S13, acquiring user information corresponding to the user.

Optionally, user information corresponding to the user is acquired through face recognition technology. For example, the face ID of a family user can be stored in advance to speed up the rate of determining the user's identity, thereby speeding up the rate of obtaining the user information corresponding to the user.

Step S14 , performing peer data comparison calculations according to the user information and the physiological parameters to obtain difference data.

Optionally, the user information includes user age.

In some implementations, the comparison calculation of peer data according to the user information and the physiological parameters to obtain the difference data includes: performing numerical calibration on the physiological parameters according to preset calculation rules to obtain the target physiological parameters ; According to the user information and the physiological parameters, the data of the same age group is compared and calculated to obtain the difference data.

Exemplarily, the preset operation rule includes an operation rule obtained based on ECG (electrocardiogram) calibration. For example, the physiological parameters include SDNN parameters, SD1 parameters, and SD2 parameters, and the numerical calibration is performed based on the operation rules obtained by ECG calibration to obtain target physiological parameters: TV SDNN parameters, TV SD1 parameters, TV SD2 parameters, and balance force (Balance) parameters.

Optionally, the difference data includes SDNN difference data, SD1 difference data and SD2 difference data.

In some implementations, based on a preset difference calculation formula, the difference data is obtained by performing a comparison operation on peer data according to the user information and the physiological parameters. Wherein, the preset difference calculation formula can be obtained by obtaining the human body parameters corresponding to the people in the region corresponding to the user.

Optionally, the preset difference calculation formula includes SDNN difference calculation formula, SD1 difference calculation formula and SD2 difference calculation formula. Among them, the SDNN difference calculation formula is used to calculate the SDNN difference data; the SD1 difference calculation formula is used to calculate the SD1 difference data; the SD2 difference calculation formula is used to calculate the SD2 difference data.

Step S15. Obtain the corresponding health status of the user according to the difference data.

The corresponding health status of the user can be reflected through the difference data with the same age group. Exemplarily, a data status comparison table can be set in advance, and the data status comparison table includes a mapping relationship between difference data and health status, and the data status comparison table is queried according to the difference data to obtain the corresponding health status of the user. state.

Optionally, the preset data state comparison table includes an energy data state comparison table, a relaxation force data state comparison table, a stress data state comparison table, and a balance force data state comparison table. Among them, the energy data status comparison table includes the mapping relationship between SDNN difference data and health status; the relaxation data status comparison table includes the mapping relationship between SD1 difference data and health status; the stress data status comparison table includes SD2 difference data and health status. The mapping relationship between states; the balance force data status comparison table includes the mapping relationship between Balance data and health status.

In some implementation manners, the corresponding biological age of the user may be calculated based on the difference data, and the health status of the user may be obtained according to the biological age. For example, different biological age calculation formulas can be established according to the user's gender and age, and the difference data can be imported into the biological age calculation formula to obtain the corresponding biological age of the user.

When the gender of the user is male, and the TV SDNN parameter corresponding to the user is greater than or equal to 25, the biological age (Bio age) corresponding to the user is calculated based on the first biological age calculation formula and the difference data. The first physiological age calculation formula is used to calculate TV SDNN parameters greater than Or the biological age corresponding to male users equal to 25.

When the gender of the user is male, and the TV SDNN parameter corresponding to the user is less than 25, the biological age corresponding to the user is calculated based on the second biological age calculation formula and the difference data. The second physiological age calculation formula is used to calculate the biological age corresponding to male users whose TV SDNN parameters are less than 25.

When the gender of the user is female, and the TV SDNN parameter corresponding to the user is greater than or equal to 25, the biological age corresponding to the user is calculated based on the third biological age calculation formula and the difference data. The third physiological age calculation formula is used to calculate the biological age corresponding to the female user whose TV SDNN parameter is greater than or equal to 25.

When the gender of the user is female, and the TV SDNN parameter corresponding to the user is less than 25, the biological age corresponding to the user is calculated based on the fourth biological age calculation formula and the difference data. The fourth physiological age calculation formula is used to calculate the biological age corresponding to female users whose TV SDNN parameters are less than 25.

In some implementations, when the biological age is less than the preset minimum biological age, the preset minimum biological age is determined as the corresponding biological age of the user; when the biological age is greater than the preset maximum biological age, The preset maximum physiological age is determined as the corresponding biological age of the user. For example, the preset minimum biological age is 20, when the biological age is less than the preset minimum biological age 20, 20 is determined as the corresponding biological age of the user; the preset maximum biological age is 90, when the biological age is greater than When the preset maximum biological age is 90, 90 is determined as the corresponding biological age of the user.

In some implementation manners, after obtaining the health status corresponding to the user, the method further includes: sending the health status to a target terminal.

The target terminal includes a terminal for communicating with the user corresponding to the health status. The communication may include video and voice, and the terminal may include a TV, a computer, and a mobile phone. For example, after the health status of user A is determined, the health status is sent to the terminal corresponding to user B who has videoconference with user A, and the terminal is controlled to display the health status.

In some embodiments, the method further includes: determining the exercise intensity corresponding to the user according to the physiological parameters, and determining the exercise target heart rate corresponding to the exercise intensity; When the exercise target heart rate is set, safety reminders will be given according to the preset reminder rules.

Optionally, a parameter exercise table is preset, and the parameter exercise table includes a mapping relationship between physiological parameters and exercise data. According to the physiological parameters, the preset parameter exercise table is queried to determine the corresponding exercise intensity of the user.

Optionally, the exercise target heart rate corresponding to the exercise intensity is determined according to the preset exercise heart rate calculation formula; or the exercise target heart rate corresponding to the exercise intensity is determined based on the preset intensity heart rate comparison table, wherein the preset intensity The heart rate comparison table includes the mapping relationship between exercise intensity and exercise target heart rate. When the user starts exercising, the user's real-time heart rate is monitored. When it is detected that the user's corresponding instant heart rate is greater than the exercise target heart rate, a safety prompt is given according to a preset prompt rule.

In some implementations, the method further includes: determining the target exercise duration corresponding to the user according to the health status; determining the actual exercise duration corresponding to the user; calculating the actual exercise duration and the The difference between the target exercise durations, and corresponding prompt information is generated according to the difference.

Optionally, the mapping relationship between the health state and the target exercise time is preset, such as a preset state exercise table, and the preset state exercise table includes the mapping relationship between the health state and the target exercise time. Query the status exercise table according to the health status, and determine the target exercise duration corresponding to the user.

Optionally, when the difference is less than the preset duration difference, the generated prompt information is: You have not completed the target exercise requirements, please continue to work hard; when the described difference is greater than the preset duration difference, generate The prompt message is: You have completed the target exercise requirements, let's take a rest.

The health monitoring method provided by the above-mentioned embodiments obtains the cardiac cycle sequence corresponding to the user according to the preset time length, and calculates according to the preset calculation formula and the cardiac cycle sequence Physiological parameters corresponding to the user; then obtain user information corresponding to the user, and perform peer data comparison calculations based on the user information and the physiological parameters to obtain difference data, and obtain all The difference data between the user and other users of the same age of the user; finally, according to the difference data, the corresponding health status of the user is obtained, which improves the efficiency of health monitoring.

Please refer to FIG. 3 . FIG. 3 is a schematic structural block diagram of an electronic device provided by an embodiment of the present application. The electronic device 30 can be a server or a terminal device. The network where the electronic device 30 is located includes, but is not limited to, the Internet, a wide area network, a metropolitan area network, a local area network, a virtual private network (Virtual Private Network, VPN) and the like.

As shown in FIG. 3 , the electronic device 30 includes a communication interface 301 , a storage 302 , a processor 303 , an input/output (I/O) interface 304 and a bus 305 . The processor 303 is respectively coupled to the communication interface 301 , the storage 302 , and the I/O interface 304 through the bus bar 305 .

The communication interface 301 is used for communication. The communication interface 301 can be an existing interface on the electronic device 30 , or a new interface on the electronic device 30 . The communication interface 301 can be a network interface, such as a wireless local area network (Wireless Local Area Network, WLAN) interface, a cellular network communication interface or a combination thereof. The storage 302 can be used to store operating systems and computer programs. For example, the storage 302 stores programs corresponding to the aforementioned health monitoring methods.

It should be understood that the storage 302 may include a program storage area and a data storage area. Wherein, the stored program area can be used to store the operating system, at least one application required by the method (such as health monitoring method, etc.), etc.; the stored data area can store the data created according to the use of the electronic device 30 . In addition, the storage 302 may include a volatile storage, and may also include a non-volatile storage, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital ( Secure Digital (SD) card, flash memory card (Flash Card), at least one magnetic disk storage device, flash memory device, or other storage devices.

The processor 303 provides computing and control capabilities to support the operation of the entire computer device. For example, the processor 303 is used to execute the computer program stored in the memory 302 to realize the above-mentioned healthy steps in a health monitoring method.

It should be understood that the processor 303 is a central processing unit (Central Processing Unit, CPU), and the processor may also be other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), Field-Programmable Gate Array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Wherein, the general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The I/O interface 304 is used to provide a channel for user input or output. For example, the I/O interface 304 can be used to connect various input and output devices (mouse, keyboard, or 3D touch device, etc.), a display, so that the user can input information, or Visualize information. The bus bar 305 is at least used to provide communication channels among the communication interface 301 , the storage 302 , the processor 303 , and the I/O interface 304 in the electronic device 30 .

Those skilled in the art can understand that the structure shown in Figure 3 is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation to the computer equipment on which the solution of the application is applied. The specific computer equipment More or fewer components than shown in the figures may be included, or certain components may be combined, or have a different arrangement of components.

Wherein, in one embodiment, when the processor 303 executes the computer program stored in the memory 302 to implement the health monitoring method, the following steps are implemented: according to the preset duration, the cardiac cycle sequence corresponding to the user is obtained; according to the preset The calculation formula and the cardiac cycle sequence are used to calculate the physiological parameters corresponding to the user; to obtain the user information corresponding to the user; to perform comparison calculations on the data of the same age group according to the user information and the physiological parameters to obtain difference data; The above difference data is used to obtain the corresponding health status of the user.

Specifically, for the specific implementation method of the above instructions by the processor 303, reference may be made to the description of relevant steps in the foregoing health monitoring method embodiments, and details are not repeated here.

The embodiment of the present application also provides a computer-readable storage medium, the computer-readable storage A computer program is stored on the medium, and the computer program includes program instructions. The methods implemented when the program instructions are executed can refer to various embodiments of the health monitoring method of the present application.

Wherein, the computer-readable storage medium may be an internal storage unit of the electronic device described in the foregoing embodiments, such as a hard disk or a memory of the electronic device. The computer-readable storage medium may also be an external storage device of the electronic device, such as a plug-in hard disk equipped on the electronic device, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, flash memory card (Flash Card), etc.

Further, the computer-readable storage medium may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function, etc.; Use the created materials, etc.

The electronic device and the computer-readable storage medium provided in the aforementioned embodiments can acquire the cardiac cycle sequence corresponding to the user according to the preset duration, and calculate the corresponding cardiac cycle sequence of the user according to the preset calculation formula and the cardiac cycle sequence. Physiological parameters; then obtain the user information corresponding to the user, and perform a comparison operation of peer data according to the user information and the physiological parameters to obtain difference data, and obtain the user and the user through comparison operation with the peer data The difference data of other users of the same age; finally, according to the difference data, the corresponding health status of the user is obtained, which improves the efficiency of health monitoring.

It should also be understood that the terminology used in the specification of this application is for the purpose of describing particular embodiments only and is not intended to limit the application. As used in this specification and the appended claims, the singular forms "a", "an" and "the" are intended to include plural referents unless the context clearly dictates otherwise.

It should also be understood that the term "and/or" used in the specification of this application and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations. It should be noted that, as used herein, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article or system comprising a set of elements includes not only those elements, but also includes no explicit columns other elements identified, or also include elements inherent to such a process, method, article, or system. Without further limitations, an element defined by the phrase "comprising a ..." does not preclude the presence of additional identical elements in the process, method, article or system comprising that element.

The serial numbers of the above embodiments of the present application are for description only, and do not represent the advantages and disadvantages of the embodiments. The above is only a specific implementation of the application, but the scope of protection of the application is not limited thereto. Any person familiar with the technical field can easily think of various equivalent modifications within the technical scope disclosed in the application. Or replacement, these modifications or replacements should be covered within the protection scope of this application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

S11~S15: Steps

Claims (8)

A health monitoring method, the health monitoring method is applied to electronic equipment, wherein, the health monitoring method includes: according to the preset time length, the cardiac cycle sequence corresponding to the user is obtained; according to the preset calculation formula and the cardiac cycle sequence , calculating the physiological parameters corresponding to the user; obtaining the user information corresponding to the user; performing a comparison operation on the data of the same age group according to the user information and the physiological parameters to obtain the difference data, including: according to the preset operation rules, the performing numerical calibration on the physiological parameters to obtain target physiological parameters; performing comparison calculations on peer data according to the user information and the target physiological parameters to obtain difference data; and obtaining the corresponding health status of the user according to the difference data; Determine the corresponding exercise intensity of the user according to the physiological parameters, and determine the exercise target heart rate corresponding to the exercise intensity; when it is detected that the user's corresponding instant heart rate is greater than the exercise target heart rate, follow the preset prompt rules Make a safety reminder. According to the health monitoring method described in claim 1, wherein the calculating the physiological parameters corresponding to the user according to the preset calculation formula and the cardiac cycle sequence includes: calculating the number of cardiac cycles corresponding to the cardiac cycle sequence; When the number of cardiac cycles is greater than or equal to a preset threshold, a physiological parameter corresponding to the user is calculated according to a preset calculation formula and the cardiac cycle sequence. The health monitoring method according to claim 2, wherein the calculating the number of cardiac cycles corresponding to the cardiac cycle sequence includes: obtaining the cardiac cycle value corresponding to the cardiac cycle sequence; calculating the relationship between each cardiac cycle value and the cardiac cycle The quotient value of the previous cardiac cycle value corresponding to the cycle value; when the quotient value is greater than the preset quotient value, the value of the cardiac cycle value is eliminated, and the processed cardiac cycle sequence; calculating the number of cardiac cycles corresponding to the processed cardiac cycle sequence. The health monitoring method according to claim 2, wherein the method further includes: when the number of cardiac cycles is less than the preset threshold, generating corresponding prompt information according to a preset prompt rule. According to the health monitoring method described in claim 1, wherein said obtaining the cardiac cycle sequence corresponding to the user according to the preset duration includes: determining whether the user is in the destination area corresponding to the target display screen; when the user is in the destination area, control the target display screen to play the target video; when the target video is played, acquire the corresponding cardiac cycle sequence of the user according to the preset duration. The health monitoring method according to claim 1, wherein the method further includes: determining the target exercise duration corresponding to the user according to the health status; determining the actual exercise duration corresponding to the user; calculating the The difference between the actual exercise duration and the target exercise duration, and corresponding prompt information is generated according to the difference. An electronic device, wherein the electronic device includes a memory and a processor; the memory is used to store at least one instruction; and the processor is used to implement any one of claims 1 to 6 when executing the at least one instruction The health monitoring method described. A computer-readable storage medium, wherein at least one instruction is stored in the computer-readable storage medium, and when the at least one instruction is executed by a processor, the health monitoring method as described in any one of claims 1 to 6 is implemented .

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