CN115336989A

CN115336989A - Electronic device, medium, and chip having health monitoring function

Info

Publication number: CN115336989A
Application number: CN202110528281.8A
Authority: CN
Inventors: 林辉跃; 邱凌志; 黄曦; 彭家辉
Original assignee: Huawei Technologies Co Ltd
Current assignee: Huawei Technologies Co Ltd
Priority date: 2021-05-14
Filing date: 2021-05-14
Publication date: 2022-11-15

Abstract

The embodiment of the application is suitable for the technical field of terminals, and provides electronic equipment, a medium and a chip with a health monitoring function, wherein the electronic equipment comprises: the starting module is used for starting the health monitoring function; the generating module is used for generating an analog physiological signal according to the monitored human physiological signal; and the interaction module is used for feeding back the simulated physiological signal to the user according to a preset interaction mode, wherein the preset interaction mode at least comprises voice interaction. By using the electronic equipment, the problems that the electronic equipment without the display screen needs to be matched with other equipment and the interaction process is complicated and complex when the health monitoring is carried out in the prior art can be solved.

Description

Electronic device, medium, and chip having health monitoring function

Technical Field

The embodiment of the application relates to the technical field of terminals, in particular to an electronic device, a medium and a chip with a health monitoring function.

Background

Health monitoring is an important function of intelligent wearable equipment, and has been widely applied to products of types such as intelligent bracelets and intelligent watches. Along with the development of intelligence wearing market, the electronic equipment of article class such as wireless bluetooth headset also can provide functions such as health monitoring for the user. For example, a true wireless headset (TWS) has the characteristics of close contact with a human body and convenience in wearing, and can be well adapted to functions such as health monitoring, so that many wireless headsets on the market have functions such as sleep detection and heart rate detection, and more diversified choices are provided for consumers to purchase intelligent wearable devices.

Because electronic devices such as earphones do not have a display screen, when a user uses the electronic devices to monitor health, the user needs to establish connection between the earphones and Applications (APPs) on devices such as mobile phones and watches. The user starts the health monitoring function of the earphone by operating the APP on the screen of the mobile phone or the watch. On the other hand, the result obtained by monitoring the earphone can be sent to the mobile phone and the watch through the wireless Bluetooth technology, so that the result is fed back to the user through the forms of drawing, characters and the like on the mobile phone and the watch.

Therefore, when the user uses the electronic device without the display screen to monitor the health, the user needs to connect the electronic device with other devices with the display screen, and the interaction process is complex and complicated.

Disclosure of Invention

The embodiment of the application provides an electronic equipment, medium and chip with health monitoring function for when solving the electronic equipment that does not have the display screen among the prior art and carrying out health monitoring, need with other equipment cooperations, the problem that the interaction process is comparatively loaded down with trivial details, complicated.

In order to achieve the purpose, the technical scheme is as follows:

in a first aspect, a health monitoring method for an electronic device is provided, including:

the electronic equipment starts a health monitoring function; the electronic equipment generates an analog physiological signal according to the monitored human physiological signal; the electronic equipment feeds the simulated physiological signal back to a user according to a preset interaction mode, wherein the preset interaction mode at least comprises voice interaction.

Compared with the prior art, the health monitoring method of the electronic equipment provided by the embodiment of the application has the following beneficial effects:

after the health monitoring function is started, the electronic equipment can generate a simulated physiological signal according to the monitored human physiological signal, so that the signal condition in the monitoring process can be simulated, and a user can conveniently and visually know the monitoring process. In addition, the electronic equipment can feed back the simulated physiological signals to the user through a preset interaction mode including voice interaction, the problem that the electronic equipment without the display screen can realize the interaction with the user only by means of other equipment with the display screen when the health monitoring is carried out can be solved, and the use experience that the user uses the electronic equipment without the display screen to carry out the health monitoring is improved.

In a possible implementation manner of the embodiment of the application, the analog physiological signal includes a first audio for simulating the human physiological signal, and the electronic device generates the analog physiological signal according to the monitored human physiological signal, including: the electronic equipment extracts a first signal characteristic from the monitored human physiological signal, wherein the first signal characteristic comprises a characteristic peak point and/or a characteristic peak-valley point; the electronic equipment generates a first audio frequency for simulating the human physiological signal based on the characteristic peak point or the characteristic peak valley point, wherein the audio frequency rhythm of the first audio frequency is the same as the signal rhythm of the human physiological signal. Therefore, the electronic equipment can continuously generate a first audio frequency with the same audio frequency rhythm as the signal rhythm of the human physiological signal in real time according to the monitored signal characteristics of the human physiological signal. The user can know the complete monitoring process according to the first audio played by the electronic equipment.

In a possible implementation manner of the embodiment of the present application, the generating, by the electronic device, a first audio for simulating the human physiological signal based on the characteristic peak point or the characteristic peak-valley point includes: the electronic equipment determines a first interval of the first signal characteristic according to the characteristic peak point or the characteristic peak-valley point; the electronic equipment determines the signal frequency of the current health monitoring item of the user according to the first interval; the electronic equipment generates first audio for simulating the human physiological signal according to the signal frequency. Therefore, the electronic equipment can extract the first interval between the characteristic peak points or the characteristic peak valley points of the first signal characteristics, simulate the signal frequency of the current health monitoring item and contribute to improving the accuracy of signal simulation.

In a possible implementation manner of the embodiment of the present application, the electronic device generates a first audio for simulating the human physiological signal based on the characteristic peak point or the characteristic peak-valley point, and further includes: when the electronic device extracts the characteristic peak point or the characteristic peak-valley point of the first signal characteristic from the human physiological signal, the electronic device generates a first audio frequency for simulating the human physiological signal.

In a possible implementation manner of the embodiment of the present application, after the electronic device generates a first audio for simulating the human physiological signal based on the characteristic peak point or the characteristic peak-valley point, the method further includes: the electronic equipment determines the amplitude of the first signal characteristic according to the characteristic peak point and the characteristic peak-valley point; the electronic equipment determines audio attributes of the first audio according to the amplitude, wherein the audio attributes comprise loudness and/or tone, and the loudness and/or tone is in direct proportion or inverse proportion to the amplitude. In this way, the electronic device may map the magnitude of the signal feature to an audio attribute of the first audio such that the loudness, pitch, etc. of the played first audio is more consistent with the signal feature of the currently monitored health item.

In a possible implementation manner of the embodiment of the present application, the analog physiological signal further includes a second audio used for characterizing signal quality of the human physiological signal, and the electronic device generates the analog physiological signal according to the monitored human physiological signal, and further includes: the electronic equipment filters the monitored human physiological signals; the electronic equipment extracts a second signal characteristic from the filtered human physiological signal, wherein the second signal characteristic comprises characteristic point intervals and height change data of signal waves; the electronic equipment determines the signal quality grade of the human physiological signal according to the characteristic point interval and the height change data of the signal wave; and if the signal quality grade is lower than a preset grade, the electronic equipment generates a second audio frequency used for representing the signal quality of the human physiological signal. Therefore, the electronic equipment can continuously evaluate the signal quality of the human physiological signal in real time, and simulate and generate a second audio frequency doped with other noises when the signal quality is poor, so that the user can know the health condition of the user more specifically. On the other hand, a poor quality signal may also result from the user performing health monitoring in an improper posture. When a signal with poor quality appears, the electronic equipment can also prompt the user to adjust the current posture, and the health monitoring is carried out again under the new posture, so that the accuracy of the health monitoring is further improved.

In a possible implementation manner of the embodiment of the application, the feeding back, by the electronic device, the analog physiological signal to the user according to a preset interaction manner includes: the electronic equipment superposes a first audio frequency used for simulating the human physiological signal and a second audio frequency used for representing the signal quality of the human physiological signal to obtain a third audio frequency; the electronic device plays the third audio in real time. Therefore, for various electronic devices without display screens, monitoring process data and monitoring results can be fed back to a user in a voice interaction mode and the like, the monitoring results do not need to be displayed by means of the display screens, and the application scene of the health monitoring function is enlarged.

In a second aspect, an electronic device with a health monitoring function is provided, the electronic device including:

the starting module is used for starting the health monitoring function;

the generating module is used for generating an analog physiological signal according to the monitored human physiological signal;

and the feedback module is used for feeding back the simulated physiological signal to the user according to a preset interaction mode, wherein the preset interaction mode at least comprises voice interaction.

In a possible implementation manner of the embodiment of the present application, the simulated physiological signal includes a first audio for simulating the human physiological signal, and the generating module is specifically configured to: extracting first signal features from the monitored human physiological signals, wherein the first signal features comprise characteristic peak points and/or characteristic peak-valley points; and generating a first audio frequency for simulating the human physiological signal based on the characteristic peak point or the characteristic peak-valley point, wherein the audio frequency rhythm of the first audio frequency is the same as the signal rhythm of the human physiological signal.

In a possible implementation manner of the embodiment of the present application, the generating module is specifically configured to: determining a first interval of the first signal feature according to the feature peak point or the feature peak-valley point; determining a signal frequency of the user's current health monitoring item according to the first interval; and generating a first audio frequency for simulating the human physiological signal according to the signal frequency.

In a possible implementation manner of the embodiment of the present application, the generating module is further configured to: when the electronic device extracts the characteristic peak point or the characteristic peak-valley point of the first signal characteristic from the human physiological signal, generating a first audio for simulating the human physiological signal.

In a possible implementation manner of the embodiment of the present application, the generating module is further configured to: determining the amplitude of the first signal characteristic according to the characteristic peak point and the characteristic peak-valley point; and determining the audio attribute of the first audio according to the amplitude, wherein the audio attribute comprises loudness and/or tone, and the loudness and/or tone is in direct proportion or inverse proportion to the amplitude.

In a possible implementation manner of the embodiment of the present application, the analog physiological signal further includes a second audio for characterizing a signal quality of the human physiological signal, and the generating module is further configured to: filtering the monitored human physiological signals; extracting second signal characteristics from the filtered human physiological signals, wherein the second signal characteristics comprise characteristic point intervals and height change data of signal waves; determining the signal quality grade of the human physiological signal according to the characteristic point interval and the height change data of the signal wave; and if the signal quality grade is lower than a preset grade, generating a second audio frequency for representing the signal quality of the human physiological signal.

In a possible implementation manner of the embodiment of the present application, the feedback module is specifically configured to: superposing a first audio frequency for simulating the human body physiological signal and a second audio frequency for representing the signal quality of the human body physiological signal to obtain a third audio frequency; playing the third audio in real time.

In a third aspect, an electronic device is provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the electronic device is caused to perform the relevant method steps to implement the health monitoring method of the electronic device according to any one of the first aspect.

In a fourth aspect, a computer storage medium is provided, where computer instructions are stored, and when the computer instructions are executed on an electronic device, the electronic device is caused to execute the relevant method steps to implement the health monitoring method for the electronic device according to any one of the first aspect.

In a fifth aspect, a computer program product is provided, which, when run on an electronic device, causes the electronic device to perform the above related method steps to implement the health monitoring method of the electronic device according to any of the above first aspects.

In a sixth aspect, a chip is provided, the chip comprising a memory and a processor, the processor executing a computer program stored in the memory to implement the health monitoring method of an electronic device according to any of the above first aspects.

It is understood that the beneficial effects of the second to sixth aspects can be seen from the description of the first aspect, and are not described herein again.

Drawings

Fig. 1 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure;

FIG. 2 is a schematic diagram illustrating steps of a health monitoring method for an electronic device according to an embodiment of the present disclosure;

FIG. 3 is a schematic diagram of a process for activating and monitoring the heart health of a user using smart headsets according to an embodiment of the present application;

FIG. 4 is a schematic diagram of a process for continuously generating audio simulating human heart beats in real time during heart monitoring according to an embodiment of the present application;

FIG. 5 is a schematic diagram of a process for continuously generating audio with poor quality analog signals in real time during cardiac monitoring according to an embodiment of the present application;

fig. 6 is a schematic process diagram of an intelligent headset activating an active health monitoring function according to an embodiment of the present application;

fig. 7 is a block diagram of an electronic device with a health monitoring function according to an embodiment of the present application.

Detailed Description

In order to facilitate clear description of technical solutions of the embodiments of the present application, in the embodiments of the present application, words such as "first" and "second" are used to distinguish identical items or similar items with substantially the same functions and actions. For example, the first audio, the second audio, and so on are only for distinguishing different types of audio, and the number and execution order thereof are not limited.

It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described herein as "exemplary" or "such as" is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.

The service scenario described in the embodiment of the present application is for more clearly illustrating the technical solution in the embodiment of the present application, and does not form a limitation on the technical solution provided in the embodiment of the present application, and it can be known by a person skilled in the art that, with the occurrence of a new service scenario, the technical solution provided in the embodiment of the present application is also applicable to similar technical problems.

In the embodiments of the present application, "at least one" means one or more, "a plurality" means two or more. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a alone, A and B together, and B alone, wherein A and B may be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of the singular or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or multiple.

The modules and steps involved in the electronic device, medium and chip with health monitoring function provided by the embodiments of the present application are only examples, and not all the modules and steps are necessary, and may be increased or decreased as needed during the use process.

In the embodiments of the present application, the same module/step or modules/steps having the same function may be referred to with each other in different embodiments.

In this application embodiment, the above-mentioned electronic equipment can be the electronic equipment that possesses the health monitoring function such as intelligent bracelet, intelligent wrist-watch, intelligent earphone. The embodiment of the present application does not limit the specific type of the electronic device.

By way of example, fig. 1 shows a schematic view of an electronic device 100. The software and hardware structure of the electronic device with health monitoring function may refer to the structure of the electronic device 100.

In hardware, the electronic device 100 may include acceleration and gyroscope (a + G) sensors, electrocardiograph (ECG), photoplethysmography (PPG) sensors, speakers, and the like. The a + G sensor may be used for detecting the state of the electronic device 100 when being worn by the user or during use, such as recognizing the head posture of the user, detecting whether the electronic device 100 is worn by the user, and the like. The ECG and PPG sensors may be used to collect physiological signals of a user's body during various health monitoring processes performed by the electronic device 100, such as blood glucose monitoring, heart rate monitoring, blood oxygen monitoring, blood pressure monitoring, heart health monitoring, and so on. The speaker may be used to feedback the health monitoring results to the user by way of voice interaction. For example, after health monitoring is completed, the health monitoring result is broadcasted in a voice mode through a loudspeaker; or, in the health monitoring process, the simulated human physiological signals are played.

In software, the electronic device 100 may be configured with algorithms for performing various health monitoring, such as blood glucose monitoring, heart rate monitoring, blood oxygen monitoring, blood pressure monitoring, heart health monitoring, and so forth. The electronic device 100 can process the monitored human physiological signals and output the monitoring result after the electronic device 100 starts the corresponding type of health monitoring function by executing each algorithm. In addition, the electronic device 100 further includes a core interaction module for controlling the activation of the health monitoring function, the interaction control of the abnormal result, the generation of the audio signal, and the like.

It is to be understood that the illustrated structure of the embodiment of the present application does not specifically limit the electronic device 100. In some embodiments of the present application, electronic device 100 may include more or fewer components than shown, or some components may be combined, some components may be split, or a different arrangement of components. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

The following embodiment takes an electronic device with the above hardware structure/software structure as an example, and describes the health monitoring method for the electronic device provided in the embodiment of the present application.

Referring to fig. 2, a schematic step diagram of a health monitoring method for an electronic device provided in an embodiment of the present application is shown, where the method may specifically include the following steps:

s201, the electronic equipment starts a health monitoring function.

It should be noted that the method may be applied to an electronic device with a health monitoring function, and the health monitoring function may be various types of monitoring functions, such as heart rate monitoring, blood oxygen monitoring, blood pressure monitoring, and the like provided based on various types of health monitoring algorithms shown in fig. 1.

In this embodiment, the electronic device may be a device without a display screen, such as a smart headset. Therefore, in the health monitoring process by applying the method provided by the embodiment of the application, the electronic equipment can feed back various information and monitoring results in the monitoring process to the user in a voice interaction mode and the like, and the problem that when the health monitoring is carried out on the electronic equipment without a display screen, the electronic equipment needs to be connected with other equipment with the display screen, and the user can only check the monitoring results through the display screens of the other equipment is solved.

Of course, the electronic device may also be a device with a display screen, such as a smart band and a smart watch. Therefore, in the health monitoring process by applying the method provided by the embodiment of the application, the electronic equipment can also feed back various information and monitoring results in the monitoring process to the user in modes of voice interaction and the like, the user does not need to light the display screen, the monitoring results are obtained from the display screen, and the cruising ability of the electronic equipment is favorably improved.

In an embodiment of the present application, the electronic device may initiate the health monitoring function by responding to an instruction from a user. The user's instruction may be triggered to be generated by a user's voice, action, or other operation. Based on the instruction, the activation control center shown in fig. 1 may control the electronic device to activate the health monitoring function.

In a possible implementation manner of the embodiment of the present application, a user may start the health monitoring function by pressing a start button of the electronic device. The long press recognition module shown in fig. 1 may detect the pressing operation when the user presses an on button of the electronic device. Then, the activation control center shown in fig. 1 may control the electronic device to activate the health monitoring function.

Illustratively, the electronic device is taken as an intelligent headset. After a user wears the earphone, the user can press the starting button on the earphone for a long time to actively start the health monitoring function of the earphone.

In another possible implementation manner of the embodiment of the application, a user may start a health monitoring function of the electronic device through a voice instruction.

Illustratively, the electronic device is taken as an intelligent headset. A voice recognition module, such as the voice assistant module shown in fig. 1, may be configured on the headset. After the user wears the headset, the user can speak the words of 'starting health monitoring' or other similar words, and after the voice recognition module recognizes the meaning of the voice, the headset can start a health monitoring function.

In another possible implementation manner of the embodiment of the application, the user may further instruct the electronic device to start the health monitoring function through a specific action. For example, the head pose recognition module shown in fig. 1 may recognize a head action of the user. When the head movement recognized by the module is used as the action for starting the monitoring and monitoring function, the starting control center shown in fig. 1 can control the electronic equipment to start the health monitoring function.

Illustratively, the electronic device is taken as an intelligent headset. The user action corresponding to the starting of the health monitoring function may be configured in the headset in advance, for example, the health monitoring function of the headset may be configured to be started when the action of the user of nodding twice is detected. The nodding action described above can be identified by various types of sensors arranged in the headset. Therefore, after the user wears the earphone, if the user recognizes the head nodding action twice, the health monitoring function is started actively.

It should be noted that the health monitoring function may be a health monitoring function actively initiated by the user based on the user's instruction. In the embodiment of the application, different from the health monitoring actively started by the user, the electronic device can also automatically acquire the human physiological signals of the user at certain intervals, and perform analysis processing to obtain a preliminary analysis result.

Therefore, in a possible implementation manner of the embodiment of the present application, the health monitoring actively initiated by the user based on the instruction of the user may be initiated after the user responds to the result of the preliminary analysis.

In a specific implementation, after the user wears the electronic device, the electronic device may automatically monitor the physiological signals of the user according to a certain interval, and process the physiological signals of the user to obtain a preliminary analysis result. Then, if the preliminary analysis result shows that the health condition of the user is abnormal, the voice assistant module shown in fig. 1 may ask the user whether to start the health monitoring function, so as to further perform health monitoring. If the electronic device receives an instruction that the user confirms to start the health monitoring, the electronic device can start the health monitoring function according to the instruction and execute a corresponding monitoring task.

Illustratively, the electronic device is taken as an intelligent headset. After the user wears the earphone, the earphone can collect human physiological signals of the user according to a certain time interval. For example, the earphone may collect the human physiological signal once every three minutes or once every five minutes, and process the signal according to the collected human physiological signal to obtain a preliminary analysis result. If the analysis results obtained by the three continuous processes show that the health condition of the user is abnormal, the earphone can inquire whether the user starts the health monitoring function or not through voice. The user may respond to the query by voice or motion.

For example, in the case that the results of the three preliminary analyses are all abnormal, the earphone may play "abnormal health condition, and whether the health monitoring function is agreed to be started. If the start is approved, please say ' approve start ', if not, say ' not start ', ' or the like. If the user agrees to start, the user can speak out 'agreeing to start' in a voice prompt mode. The speech recognition module configured on the headset may then recognize the voice replied by the user, thereby initiating the health monitoring function.

In one possible implementation of the embodiment of the present application, the user may also reply to the query of the electronic device by an action.

For example, in the case that the results of the three preliminary analyses are all abnormal, the earphone may play "abnormal health condition, and whether the health monitoring function is agreed to be started. If the start is agreed, please nod twice, if the start is not agreed, please nod twice or similar voice. If the user agrees to start, the user can click twice in a voice prompt mode. Then, a head gesture recognition module configured on the headset can recognize two head nodding actions of the user, so that the control center is started to start a health monitoring function.

S202, the electronic equipment generates an analog physiological signal according to the monitored human physiological signal.

In an embodiment of the present application, the simulated physiological signal may be a signal for simulating a certain characteristic of a monitored physiological signal of a human body. For example, during heart rate monitoring, the simulated physiological signal may be a signal for simulating a beating condition of the heart of the user, such as sounds produced during the beating of the heart. As another example, in blood pressure monitoring, the analog physiological signal may be a signal for simulating blood flow of a user, such as a sound generated during blood flow.

In one possible implementation manner of the embodiment of the present application, the simulated physiological signal generated according to the monitored human physiological signal may include a first audio for simulating the human physiological signal. Wherein the audio rhythm of the first audio is the same as the monitored signal rhythm of the human physiological signal.

In this embodiment, when the electronic device generates the analog physiological signal according to the monitored human physiological signal, a first signal feature may be first extracted from the monitored human physiological signal. The electronic device extracting the first signal feature from the monitored human physiological signal may be implemented by a feature extraction module shown in fig. 1. The first signal feature may include a characteristic peak point and/or a characteristic valley point.

For example, in performing heart rate monitoring, the first signal characteristic may be an electrocardiogram of the user. The electronic device may acquire an electrocardiogram of the user through an ECC, PPG, or other sensor configured to identify corresponding characteristic peak points and/or characteristic valley points from the electrocardiogram.

Then, the electronic device may generate a first audio frequency for simulating the human physiological signal based on the identified characteristic peak point or characteristic peak-valley point, so as to ensure that an audio rhythm of the first audio frequency is the same as a signal rhythm of the human physiological signal.

In one possible implementation manner of the embodiment of the present application, the electronic device may determine the first interval of the first signal feature according to a characteristic peak point or a characteristic peak-valley point. For example, the electronic device may determine two adjacent characteristic peak points, so as to obtain an interval between the two characteristic peak points, which may be used as a first interval of the first signal characteristic of the subsequent processing. Alternatively, the electronic device may first determine two adjacent characteristic peak-valley points, and then determine a first interval of the first signal characteristic according to an interval between the two characteristic peak-valley points.

The electronic device may then determine a signal frequency of the user's current health monitoring item based on the first interval. The electronic device may generate a first audio frequency simulating the monitored human physiological signal in accordance with the determined signal frequency. The process of generating the first audio by the electronic device may be implemented by the audio generation module shown in fig. 1.

For example, if the current health monitoring item is heart rate monitoring, the signal frequency may be the current heart rate of the user. The electronic device can generate the first audio at the heartbeat frequency such that a heartbeat rhythm of the user presented by the first audio is the same as an actual heartbeat rhythm of the user. In this way, the user can know the actual situation of the current health monitoring item in real time in the health monitoring process.

In another possible implementation manner of the embodiment of the present application, the first audio generated by the electronic device may also be implemented based on continuous characteristic peak points or characteristic peak and valley points.

In specific implementation, the electronic device may perform feature extraction on the acquired human physiological signal, and when the electronic device extracts a feature peak point or a feature peak and valley point of a first signal feature from the human physiological signal, the electronic device may generate a first audio for simulating the human physiological signal. In this way, the first audio generated by the electronic device may correspond to consecutive characteristic peak points or characteristic peak valley points of the human physiological signal.

In the embodiment of the application, the first audio generated by the electronic device according to the human physiological signal simulation can have corresponding audio attributes. The audio properties may include loudness, tone, timbre, etc. of the first audio.

Therefore, in the embodiment of the present application, the electronic device may further determine the amplitude of the first signal feature according to the characteristic peak point and the characteristic peak-valley point extracted from the human physiological signal, where the amplitude is the height difference between the characteristic peak point and the characteristic peak-valley point. The process of the electronic device determining the magnitude of the first signal feature may be implemented by a magnitude extraction module shown in fig. 1. The electronic device can then determine audio properties of the first audio, such as loudness, pitch, etc., based on the amplitude.

In a possible implementation manner of the embodiment of the present application, the electronic device may map the amplitude and the audio attributes such as loudness and pitch of the first audio according to a direct proportional relationship. For example, the higher the amplitude, the higher the tone and loudness; the lower the amplitude, the lower the pitch and loudness.

In another possible implementation manner of the embodiment of the present application, the electronic device may also map the amplitude and the audio attributes such as loudness and pitch of the first audio according to an inverse proportional relationship. For example, the higher the amplitude, the lower the pitch and loudness; the lower the amplitude, the higher the pitch and loudness. The embodiment of the present application is not particularly limited to this.

In a possible implementation manner of the embodiment of the present application, the analog physiological signal generated by the electronic device according to the monitored human physiological signal may further include a second audio for characterizing the signal quality of the human physiological signal. The timbre purity of the second audio may be proportional to the signal quality of the human physiological signal. Illustratively, the better the signal quality of the human physiological signal, the purer the timbre of the second audio; conversely, the noisier the timbre of the second audio. For example, the second audio frequency may be doped with other noise when the signal quality is poor.

In this embodiment, when the electronic device generates the second audio representing the signal quality of the monitored human physiological signal according to the monitored human physiological signal, the electronic device may first perform filtering processing on the raw data of the monitored human physiological signal, and then extract the second signal feature from the filtered human physiological signal. The second signal characteristic may include a characteristic point interval and height variation data of the signal wave, such as height variation data of the signal wave during ascending or height variation data of the signal wave during descending. The electronic equipment can evaluate the signal quality of the monitored human physiological signals according to the characteristic point intervals and the height change data of the signal waves, and determine the specific signal quality grade. The process of determining the signal instruction level by the electronic device may be implemented by the signal quality detection module shown in fig. 1.

In one possible implementation manner of the embodiment of the present application, the electronic device may preset a plurality of different signal quality levels. For example, the electronic device may set four levels of signal quality, namely levels 0, 1, 2, 3. Each level may correspond to a different signal quality. For example, a larger value indicates a poorer signal quality. That is, the signal quality of level 0 is the best, and the signal quality of level 3 is the worst. The signal quality of level 0 is better than that of level 1, the signal quality of level 1 is better than that of level 2, and the signal quality of level 2 is better than that of level 3. Of course, the electronic device may also indicate a worse signal quality on a scale where the value is smaller. For example, the signal quality of level 3 is the best and the signal quality of level 0 is the worst. The signal quality of level 3 is better than that of level 2, the signal quality of level 2 is better than that of level 1, and the signal quality of level 1 is better than that of level 0. The embodiments of the present application do not limit this.

In the embodiment of the present application, if the electronic device determines that the signal quality of the human physiological signal of the user is good in the above manner, the second audio for representing the signal quality may not be generated. If the signal quality is poor, for example, the signal quality level is lower than a preset level, the electronic device may generate a second audio for characterizing the signal quality thereof. The process of generating the second audio by the electronic device may be implemented by the audio generating module shown in fig. 1.

S203, the electronic equipment feeds back the simulated physiological signals to the user according to a preset interaction mode, wherein the preset interaction mode at least comprises voice interaction.

In this embodiment of the application, the preset interaction mode may include voice interaction. That is, the electronic device may feed back the simulated physiological signal to the user by means of voice broadcast. For example, in the process of heart rate monitoring, the electronic device may feed back the signal condition in the monitoring process to the user in real time in a manner of playing an audio with the same rhythm as the human physiological signal. The process of the electronic device feeding back the analog physiological signal to the user in a voice interaction manner can be implemented by the audio playing module and the speaker shown in fig. 1.

Alternatively, the preset interaction mode may further include vibration interaction. That is, the electronic device may feed back the analog physiological signal to the user by way of vibration. The above-described vibratory interaction may be achieved by a motor as shown in fig. 1. For example, if the simulated physiological signal simulates the heartbeat process of the user, the electronic device may vibrate in real time by the motor once every time the heart beats, so as to feed back the beating condition of the heart to the user.

In a possible implementation manner of the embodiment of the application, when the electronic device feeds back the simulated physiological signal to the user according to the preset interaction manner, the first audio used for simulating the human physiological signal and the second audio used for representing the signal quality of the human physiological signal may be first superimposed to obtain the third audio. Then, the electronic device may play the third audio obtained by the above-mentioned superposition in real time during the monitoring process. The process of generating the third audio by the electronic device can be implemented by the audio generating module shown in fig. 1.

For example, in a heart rate monitoring process, the first audio may be audio that simulates a heart beat process, while the second audio may be audio that is doped with other noise. In this way, the electronic device may superimpose the noise-doped audio on top of the audio simulating the heart beat process when superimposing the first and second audio.

In another possible implementation manner of the embodiment of the application, the electronic device feeds back the analog physiological signal to the user according to a preset interaction manner, or may only play the second audio representing the signal quality of the human physiological signal without superimposing the first audio and the second audio.

For example, in the heart rate monitoring process, if the monitored human physiological signal quality of the user is poor, the electronic device may not play the first audio frequency simulating the heart beat process, but only play the second audio frequency doped with noise. When the electronic equipment generates the second audio, the quality of the human physiological signal is poor, and the electronic equipment only plays the second audio, so that the electronic equipment is beneficial to a user to know the self health condition more clearly and directly.

For convenience of understanding, the health monitoring method for an electronic device provided in the embodiments of the present application is described below with reference to several specific examples, where an electronic device is taken as an example of an earphone.

Example one: utilizing smart headsets to activate and monitor heart health of a user

Referring to fig. 3, a schematic diagram of a process for starting and monitoring the heart health condition of a user by using a smart headset according to an embodiment of the present application is shown, where the process includes the following steps:

s301, after the user wears the earphone, the earphone automatically starts continuous heart health monitoring.

In this example, the continuous cardiac health monitoring with the headset automatically turned on corresponds to the active cardiac health monitoring initiated in a subsequent step based on user instructions. The accuracy of continuous cardiac health monitoring with the headset automatically turned on is relatively low compared to active cardiac health monitoring.

In a specific implementation, the headset may detect whether the user wears the headset based on a pre-configured wearing detection technique. The continuous cardiac health monitoring may be automatically turned on when the headset detects that it has been worn by the user. Continuous cardiac health monitoring may be performed automatically at intervals. For example, every three or five minutes, the earphone automatically collects the human physiological signals of the user, and analyzes and processes the human physiological signals.

S302, in the continuous heart health monitoring, if the monitoring results of three continuous times are abnormal, the earphone actively inquires the user whether to start the active heart health monitoring.

In this example, if all the monitoring results of three continuous heart health monitoring are abnormal, the earphone may inform the user of the current abnormal monitoring result and risk in a voice or vibration manner. For example, the earphone may broadcast a statement "abnormal heart monitoring result, health risk exists" or the like by voice. Or, the earphone may also feed back the monitoring result of the health risk to the user through continuous vibration for a plurality of times according to a preset mode.

The headset may then ask the user whether to initiate active health monitoring in the form of speech. For example, the headset may report "health condition is abnormal, agreeing to activate the health monitoring function. If the start is agreed, please nod the head twice, if the start is not agreed, please nod the head twice, and so on.

If the user nods twice, the headset may perform S304, otherwise, perform S303.

And S303, recognizing the two shaking motions by the earphone, and not starting the active health monitoring function.

S304, the earphone recognizes two nodding actions, and starts an active health monitoring function.

In this example, the headset may recognize the user's response through various types of sensors configured. If the headset recognizes that the user has performed two nodding actions, the active health monitoring function may be initiated. If the earphone recognizes that the user performs the two shaking motions, the existing monitoring state can be maintained, and the active health monitoring function is not started.

S305, in the active health monitoring process, the earphone simulates the beating audio of the human heart according to the monitored human physiological signals.

In this example, the earphone can simulate the audio of the heart beating of the user in real time during the heart monitoring process, and play the audio in real time so that the user can intuitively know the monitoring process.

And S306, after the monitoring is finished, the earphone informs the user of the monitoring result in a voice or vibration mode.

When the headset is finished actively monitoring the health, the audio of the simulated heart beat of the user can be stopped playing. The headset may then feed back detailed monitoring results to the user by means of voice or vibration.

For example, if the monitoring result indicates that there is no abnormal condition, the earphone may vibrate slightly once, or report such as "monitoring is completed, heart health is good, no abnormal condition is found" by voice broadcasting. If the monitoring result is abnormal, the earphone can give out three continuous and rapid alarm vibrations, and informs the user of the abnormal monitoring result through voice to remind the user of paying attention to the health risk.

In this example, to the all kinds of electronic equipment that do not have the display screen, its process and the result that carry out health monitoring can be interacted through pronunciation, vibration or user's head gesture etc. need not with the help of the display screen, and the user can know whole monitoring process and monitoring result, helps promoting the user and carries out health monitoring's use experience on the electronic equipment that does not show.

Example two: real-time continuous generation of human heart beating simulation audio in heart monitoring process

Referring to fig. 4, a schematic diagram of a process for continuously generating audio simulating human heart beats in real time in a heart monitoring process provided by the embodiment of the application is shown, the process includes the following steps:

s401, the earphone starts an active health monitoring function.

The process of the earphone starting the active health monitoring function can be referred to as the interaction process in the foregoing example one, and the description of this example is omitted here.

S402, collecting original signals through an earphone, and generating and playing audio simulating human body heart beating.

In this example, the raw signal may be a human physiological signal acquired by the headset after the active health monitoring function is initiated. The earphone can process the human body physiological signals through a carried health monitoring algorithm and generate audio frequency which can be used for simulating human body heart beating.

In an implementation manner of this example, the earphone may determine an actual heartbeat frequency of the user according to an interval between a peak point/a peak valley point of the human physiological signal, and then generate and play a corresponding audio alert sound according to the heartbeat frequency, so that a generation/play rhythm of the audio alert sound is the same as an actual heartbeat rhythm of the user. In addition, the earphone may map the amplitude of the human physiological signal of the user to the loudness, tone, and the like of the above-described audio alert tone. The mapping of the amplitude and the loudness and pitch of the audio prompt tone can be performed as follows: 1) Amplitude is proportional to loudness, pitch: the higher the amplitude, the higher the loudness and tone; the lower the amplitude, the lower the loudness, pitch. 2) Amplitude is inversely proportional to loudness, pitch: the higher the amplitude, the lower the loudness and pitch; the lower the amplitude, the higher the loudness, pitch.

In another implementation manner of this example, the headset may analyze the collected human physiological signal, and when a peak point (or a peak-valley point) is analyzed, generate and play a corresponding audio alert tone.

And S403, after the monitoring is finished, the earphone informs the user of the monitoring result in a voice or vibration mode.

The process of informing the user of the monitoring result through the earphone in a voice or vibration mode after the monitoring is finished may refer to the interaction process in the foregoing example, which is not described in this example again.

In this example, the electronic device may continuously generate and play the simulated human heart beating audio in real time during the heart health monitoring process, so as to improve the user experience of the user during the health monitoring process using the electronic device without the display screen, and facilitate the user to know the specific monitoring process in real time.

Example three: real-time continuous generation of audio of poor analog signal quality during cardiac monitoring

Referring to fig. 5, a schematic diagram of a process for continuously generating audio with poor quality of analog signals in real time during cardiac monitoring according to an embodiment of the present application is shown, where the process includes the following steps:

s501, starting an active health monitoring function by the earphone.

S502, in the health monitoring process, the earphone carries out signal quality evaluation in real time, and the signal quality grade is determined.

In this example, the headset may perform a quality assessment on the acquired human physiological signals in real time. When the quality evaluation is carried out, the earphone can carry out filtering processing on the collected human physiological signal original data, and the influence of interference signals on the quality evaluation accuracy is reduced. Then, the earphone can perform feature extraction on the filtered signal to obtain signal features including feature point intervals, height variation data of signal waves and the like. Based on the extracted signal features, the headset can perform signal quality evaluation on the signal features. For example, four levels of signal quality levels, i.e., levels 0, 1, 2, and 3, may be set. Each level may correspond to a different signal quality. For example, a larger value indicates a poorer signal quality.

And S503, the earphone continuously generates audio with poor analog signal quality in real time according to the signal quality grade.

In this example, the audio with poor signal quality may be audio that is doped with other noise, such as crowd-loud sounds, or a humming sound similar to current flow, etc.

And S504, continuously playing the audio with poor analog signal quality by the earphone in real time.

In this example, when the earphone plays the audio with poor quality of the analog signal, the earphone can be superimposed with the audio for simulating the human heart beat in the second example; or, the earphone can also play the audio with poor analog signal quality alone, and if the signal quality is good, the audio simulating the human heart beating is played.

And S505, after the monitoring is finished, the earphone informs the user of the monitoring result in a voice or vibration mode.

In this example, when the user uses the electronic device without the display screen to perform health monitoring, the electronic device may continuously generate and play the noisy audio in real time for simulating the signal quality, so that the user can know the quality of the signal monitored in the health monitoring process. In some cases, poor signal quality may be due to improper user gesture. Thus, the results obtained from the monitoring may also be inaccurate. Therefore, when a signal with poor quality is monitored, the electronic equipment can also guide the user to adjust the posture, and other postures are adopted to carry out health monitoring again, so that the monitoring accuracy is further improved.

Example four: based on user operation, the intelligent earphone starts the active health monitoring function

Referring to fig. 6, a schematic diagram illustrating a process of starting an active health monitoring function by an intelligent headset according to an embodiment of the present application is shown, where the process includes the following steps:

s601, the user presses a starting button of the earphone without the display screen for a long time to start the active health monitoring function.

In this example, the event that initiates the active health monitoring may be configured in the headset in advance. When the headset monitors that the event occurs, the active health monitoring function may be initiated. For example, it may be preconfigured that the headset may activate the health monitoring function when the headset's on button is pressed for a long time. The start button may be the same button as the earphone start button or a different button. When the starting button is the same as the starting button of the earphone, the on-off of the earphone or the starting of the health monitoring function can be distinguished by configuring long pressing time. For example, the operation of pressing the on button for a long time of not more than 5 seconds by the user is set as the on/off operation of the headset, and the operation of pressing the on button for a long time of more than 5 seconds is set as the operation of starting the active health monitoring function by the headset.

S602, in the active health monitoring process, the earphone simulates the beating audio of the human heart according to the monitored human physiological signals.

S603, the earphone evaluates the signal quality in real time, determines the signal quality grade, and continuously generates audio with poor analog signal quality in real time according to the signal quality grade.

And S604, after the monitoring is finished, the earphone informs the user of the monitoring result in a voice or vibration mode.

The process of the earphone simulating the beating sound of the human heart, simulating the sound with poor signal quality, and informing the user of the monitoring result by voice or vibration may refer to the interaction process in the foregoing example one, example two, and example three, which are not described in detail herein.

In this example, for the electronic device without the display screen, the user can start the health monitoring function by long pressing a start button and other specific actions, so that the operation convenience of the user in using the electronic device without the display screen for health monitoring can be improved, and the user experience can be improved.

In the embodiment of the present application, the electronic device may be divided into the functional modules according to the above method examples, for example, each functional module may be divided for each function, or one or more functions may be integrated into one functional module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. It should be noted that, in the embodiment of the present application, the division of the module is schematic, and is only one logic function division, and there may be another division manner in actual implementation.

Corresponding to the foregoing embodiments, referring to fig. 7, a block diagram of an electronic device with a health monitoring function provided in an embodiment of the present application is shown, where the electronic device may be used to implement steps in various embodiments of a health monitoring method of the foregoing electronic device, and the electronic device may specifically include the following modules: a starting module 701, a generating module 702 and a feedback module 703, wherein:

a starting module 701, configured to start a health monitoring function;

a generating module 702, configured to generate an analog physiological signal according to the monitored physiological signal of the human body;

the feedback module 703 is configured to feed back the simulated physiological signal to the user according to a preset interaction mode, where the preset interaction mode at least includes voice interaction.

In an embodiment of the present application, the simulated physiological signal includes a first audio for simulating the human physiological signal, and the generating module 702 is specifically configured to:

extracting first signal characteristics from the monitored human physiological signals, wherein the first signal characteristics comprise characteristic peak points and/or characteristic peak-valley points;

and generating a first audio frequency for simulating the human physiological signal based on the characteristic peak point or the characteristic peak-valley point, wherein the audio frequency rhythm of the first audio frequency is the same as the signal rhythm of the human physiological signal.

In this embodiment of the present application, the generating module 702 is specifically configured to:

determining a first interval of the first signal feature according to the feature peak point or the feature peak-valley point;

determining a signal frequency of the user's current health monitoring item according to the first interval;

and generating a first audio frequency for simulating the human physiological signal according to the signal frequency.

In this embodiment of the application, the generating module 702 is further configured to:

when the electronic device extracts the characteristic peak point or the characteristic peak-valley point of the first signal characteristic from the human physiological signal, generating a first audio for simulating the human physiological signal.

In this embodiment of the present application, the generating module 702 is further configured to:

determining the amplitude of the first signal characteristic according to the characteristic peak point and the characteristic peak-valley point;

and determining the audio attribute of the first audio according to the amplitude, wherein the audio attribute comprises loudness and/or tone, and the loudness and/or tone is in direct proportion or inverse proportion to the amplitude.

In an embodiment of the present application, the analog physiological signal further includes a second audio for characterizing a signal quality of the human physiological signal, and the generating module 702 is further configured to:

filtering the monitored human physiological signals;

extracting a second signal characteristic from the filtered human physiological signal, wherein the second signal characteristic comprises characteristic point intervals and height change data of signal waves;

determining the signal quality grade of the human physiological signal according to the characteristic point interval and the height change data of the signal wave;

and if the signal quality grade is lower than a preset grade, generating a second audio frequency for representing the signal quality of the human physiological signal.

In this embodiment of the application, the feedback module 703 is specifically configured to:

superposing a first audio frequency for simulating the human body physiological signal and a second audio frequency for representing the signal quality of the human body physiological signal to obtain a third audio frequency;

playing the third audio in real time.

It should be noted that all relevant contents of each step related to the above method embodiment may be referred to the functional description of the corresponding functional module, and are not described herein again.

The embodiment of the present application further provides an electronic device, which may be the electronic device in the foregoing embodiments, where the electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the electronic device is caused to execute the following related method steps, so as to implement the health monitoring method for an electronic device in the foregoing embodiments:

the electronic equipment starts a health monitoring function;

the electronic equipment generates an analog physiological signal according to the monitored human physiological signal;

the electronic equipment feeds the simulated physiological signal back to a user according to a preset interaction mode, wherein the preset interaction mode at least comprises voice interaction.

Optionally, the simulated physiological signal includes a first audio for simulating the human physiological signal, and when the processor executes the computer program, the electronic device further executes the following related method steps:

the electronic equipment extracts a first signal characteristic from the monitored human physiological signal, wherein the first signal characteristic comprises a characteristic peak point and/or a characteristic peak-valley point;

and the electronic equipment generates a first audio frequency for simulating the human physiological signal based on the characteristic peak point or the characteristic peak valley point, wherein the audio frequency rhythm of the first audio frequency is the same as the signal rhythm of the human physiological signal.

Optionally, when the processor executes the computer program, the electronic device further executes the following related method steps:

the electronic equipment determines a first interval of the first signal characteristic according to the characteristic peak point or the characteristic peak-valley point;

the electronic equipment determines the signal frequency of the current health monitoring item of the user according to the first interval;

the electronic equipment generates first audio frequency for simulating the human physiological signal according to the signal frequency.

when the electronic device extracts the characteristic peak point or the characteristic peak-valley point of the first signal characteristic from the human physiological signal, the electronic device generates a first audio frequency for simulating the human physiological signal.

the electronic equipment determines the amplitude of the first signal characteristic according to the characteristic peak point and the characteristic peak-valley point;

the electronic equipment determines audio attributes of the first audio according to the amplitude, wherein the audio attributes comprise loudness and/or tone, and the loudness and/or tone is in direct proportion or inverse proportion to the amplitude.

Optionally, the analog physiological signal further includes a second audio for representing the signal quality of the human physiological signal, and when the processor executes the computer program, the electronic device further executes the following related method steps:

the electronic equipment filters the monitored human physiological signals;

the electronic equipment extracts a second signal characteristic from the filtered human physiological signal, wherein the second signal characteristic comprises characteristic point intervals and height change data of signal waves;

the electronic equipment determines the signal quality grade of the human physiological signal according to the characteristic point interval and the height change data of the signal wave;

and if the signal quality grade is lower than a preset grade, the electronic equipment generates a second audio frequency used for representing the signal quality of the human physiological signal.

the electronic equipment superposes a first audio frequency used for simulating the human body physiological signal and a second audio frequency used for representing the signal quality of the human body physiological signal to obtain a third audio frequency;

the electronic device plays the third audio in real time.

An embodiment of the present application further provides a computer storage medium, where a computer instruction is stored in the computer storage medium, and when the computer instruction runs on an electronic device, the electronic device is enabled to execute the following related method steps, so as to implement the health monitoring method for an electronic device in the foregoing embodiments:

the electronic equipment starts a health monitoring function;

the electronic equipment feeds the simulated physiological signal back to the user according to a preset interaction mode, wherein the preset interaction mode at least comprises voice interaction.

Optionally, the simulated physiological signal comprises a first audio for simulating the human physiological signal, and when the computer instructions are executed on the electronic device, the electronic device is further caused to perform the following associated method steps:

the electronic equipment generates a first audio frequency for simulating the human physiological signal based on the characteristic peak point or the characteristic peak valley point, wherein the audio frequency rhythm of the first audio frequency is the same as the signal rhythm of the human physiological signal.

Optionally, when the computer instructions are run on the electronic device, the electronic device is further caused to perform the following related method steps:

the electronic equipment generates first audio for simulating the human physiological signal according to the signal frequency.

Optionally, when the computer instructions are executed on the electronic device, the electronic device is further caused to perform the following related method steps:

Optionally, the simulated physiological signal further comprises a second audio for characterizing the signal quality of the human physiological signal, and when the computer instructions are executed on the electronic device, the electronic device is further caused to perform the following associated method steps:

the electronic equipment filters the monitored human physiological signals;

the electronic equipment superposes a first audio frequency used for simulating the human physiological signal and a second audio frequency used for representing the signal quality of the human physiological signal to obtain a third audio frequency;

the electronic device plays the third audio in real time.

Embodiments of the present application further provide a computer program product, which when running on an electronic device, causes the electronic device to execute the following related method steps to implement the health monitoring method for the electronic device in the foregoing embodiments:

the electronic equipment starts a health monitoring function;

Optionally, the simulated physiological signal comprises a first audio for simulating the human physiological signal, which when the computer program product is run on an electronic device causes the electronic device to further perform the following related method steps:

Optionally, when the computer program product is run on an electronic device, the electronic device is further caused to perform the following associated method steps:

Optionally, the simulated physiological signal further comprises a second audio for characterizing the signal quality of the human physiological signal, which when the computer program product is run on an electronic device, causes the electronic device to further perform the following associated method steps:

the electronic equipment filters the monitored human physiological signals;

and the electronic equipment plays the third audio in real time.

The embodiment of the application also provides a chip, which can be a general processor or a special processor. The chip includes a processor. The processor is configured to support the electronic device to perform the following related steps to implement the health monitoring method for the electronic device in the foregoing embodiments:

the electronic equipment starts a health monitoring function;

Optionally, the simulated physiological signal includes a first audio for simulating the human physiological signal, and the processor is further configured to support the electronic device to perform the following related steps:

the electronic equipment extracts a first signal characteristic from the monitored human physiological signal, wherein the first signal characteristic comprises a characteristic peak point and/or a characteristic peak valley point;

Optionally, the processor is further configured to enable the electronic device to perform the following related steps:

Optionally, the analog physiological signal further includes a second audio for characterizing the signal quality of the human physiological signal, and the processor is further configured to support the electronic device to perform the following related steps:

the electronic equipment filters the monitored human physiological signals;

the electronic device plays the third audio in real time.

Optionally, the chip further includes a transceiver, where the transceiver is configured to receive control of the processor, and is configured to support the electronic device to perform the relevant steps, so as to implement the health monitoring method for the electronic device in the foregoing embodiments.

Optionally, the chip may further include a storage medium.

It should be noted that the chip may be implemented by using the following circuits or devices: one or more Field Programmable Gate Arrays (FPGAs), programmable Logic Devices (PLDs), controllers, state machines, gate logic, discrete hardware components, any other suitable circuitry, or any combination of circuitry capable of performing the various functions described throughout this application.

Finally, it should be noted that: the above description is only an embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions within the technical scope of the present disclosure should be covered by the scope of the present application.

Claims

1. An electronic device with a health monitoring function, the electronic device comprising:

the starting module is used for starting the health monitoring function;

2. The electronic device of claim 1, wherein the simulated physiological signal comprises a first audio for simulating the human physiological signal, and wherein the generation module is specifically configured to:

and generating a first audio frequency for simulating the human physiological signal based on the characteristic peak point or the characteristic peak valley point, wherein the audio frequency rhythm of the first audio frequency is the same as the signal rhythm of the human physiological signal.

3. The electronic device of claim 2, wherein the generation module is specifically configured to:

4. The electronic device of claim 2, wherein the generation module is further configured to:

5. The electronic device of any of claims 2-4, wherein the generation module is further configured to:

6. The electronic device of any one of claims 1-5, wherein the analog physiological signal further comprises a second audio for characterizing a signal quality of the human physiological signal, and wherein the generation module is further configured to:

filtering the monitored human physiological signals;

extracting second signal characteristics from the filtered human physiological signals, wherein the second signal characteristics comprise characteristic point intervals and height change data of signal waves;

7. The electronic device according to any of claims 1-6, wherein the feedback module is specifically configured to:

superposing a first audio frequency used for simulating the human body physiological signal and a second audio frequency used for representing the signal quality of the human body physiological signal to obtain a third audio frequency;

playing the third audio in real time.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following method when executing the computer program:

the electronic equipment starts a health monitoring function;

9. A computer storage medium having computer instructions stored therein, which when run on an electronic device, cause the electronic device to perform a method comprising:

the electronic equipment starts a health monitoring function;

10. A chip, characterized in that the chip comprises a memory and a processor, the processor executing a computer program stored in the memory to implement the method of:

the electronic equipment starts a health monitoring function;