Heart rate monitoring system for TWS earphones

Abstract

The present invention relates to the technical field of TWS earphones, and particularly to a heart rate monitoring system for TWS earphones, comprising: a state evaluation module, configured to sense the wearing fit degree of the earphone body and determine the heart rate monitoring direction based on the sensing result of the wearing fit degree of the earphone body; a monitoring module, configured to monitor the user's heart rate information and generate a user heart rate record graph in real time based on the accumulated monitored user heart rate information; an analysis module, configured to traverse the user heart rate record graph generated in real time in the monitoring module and analyze the user's heart rate variability based on the user heart rate record graph; the present invention identifies the wearing state of the user's earphone through the dual sensing and monitoring of a pressure sensor and a temperature sensor, thereby prompting the user to adjust the earphone wearing posture based on the identification result, and at the same time determining the source of heart rate monitoring data based on the identification result, so that the accuracy of the monitored user heart rate data is higher.

Description

Technical Field

[0001] The present invention relates to the technical field of TWS earphones, and specifically to a heart rate monitoring system for TWS earphones. Background Art

[0002] The heart rate monitoring function of TWS earphones is a practical health monitoring technology. It usually uses built-in optoelectronic sensors to emit and receive light, and based on the change in the absorption degree of light by blood, it can monitor heart rate data in real time. Users can understand their heart rate status at any time in scenarios such as exercise, which helps to control exercise intensity and manage health, being convenient and efficient.

[0003] The invention patent application with the application number 201680000757.8 discloses an intelligent heart rate earphone with blood pressure measurement function. Each earplug of the intelligent heart rate earphone integrates at least one heart rate chip and a pressure sensor. Each heart rate chip is integrated on one side of the earplug. The intelligent heart rate earphone communicates with an intelligent portable terminal. The intelligent heart rate earphone respectively obtains the photoplethysmogram of the user's ear and the photoplethysmogram of other parts of the user; synchronously transmits the photoplethysmogram of the user's ear and the photoplethysmogram of other parts of the user to a processor in real time; the processor processes the photoplethysmogram of the user's ear and the photoplethysmogram of other parts of the user through a calculation model to obtain the user's blood pressure value; the calculation model is obtained by individual calibration through the heart rate chip and the pressure sensor.

[0004] This application aims to solve the problems that: "Currently, for health products such as smart bracelets and watches that monitor the user's blood pressure value through the pulse wave transit time, their accuracy is greatly affected by the signal-to-noise ratio of the collected photoplethysmogram. Currently, the photoplethysmogram is often collected at the wrist and the corresponding finger tip, and the signal-to-noise ratio of the photoplethysmogram collected at the wrist is poor, which affects the accuracy of monitoring the user's blood pressure value. At the same time, since it is necessary to simultaneously monitor the photoplethysmogram at the wrist and the finger tip, the commonly used methods of monitoring electrocardiogram (ECG), rings, and the method of attaching a ring to a bracelet are very inconvenient to wear."

[0005] However, the existing heart rate monitoring functions of earphones generally have the following problems:

[0006] The heart rate monitoring accuracy is affected by the fitting degree of the earphone wearing;

[0007] It can only achieve simple heart rate monitoring and cannot perform more relevant analyses based on the heart rate monitoring results.

[0008] Therefore, a heart rate monitoring system for TWS earphones is proposed. Summary of the Invention

[0009] In view of the above disadvantages existing in the prior art, the present invention provides a heart rate monitoring system for TWS earphones, which solves the technical problems proposed in the above background art.

[0010] To achieve the above objectives, the present invention is realized through the following technical solutions:

[0011] A heart rate monitoring system for TWS earphones, comprising: a status evaluation module for perceiving the wearing fit degree of the earphone body and making a decision on the heart rate monitoring direction based on the perception result of the wearing fit degree of the earphone body; a monitoring module for monitoring the user's heart rate information and generating a user heart rate record graph in real time based on the accumulated monitored user heart rate information; an analysis module for traversing the user heart rate record graph generated in real time in the monitoring module and analyzing the user's heart rate variability based on the user heart rate record graph; a determination module for setting a determination threshold and determining whether the user's state is safe based on the comparison between the determination threshold and the analysis results of the user's heart rate variability accumulated by the analysis module no less than twice; an early warning module for receiving the determination result in the determination module and triggering an early warning when the determination result is unsafe; a management module for recording the historical determination results of the determination module and the user heart rate variability applied in the determination stage; a custom warning audio is stored in the early warning module, and when the early warning module runs and receives an unsafe determination result, the warning audio is played through the earphone;

[0012] A sub-module is provided under the status evaluation module, including:

[0013] A prompt unit for prompting the user wearing the earphone to correct the earphone wearing posture;

[0014] Among them, the prompt unit is built-in with an audio module, and a prompt audio is preset by the system-side user inside the audio module. A trigger determination interval is set in the prompt unit. The prompt unit obtains the recognition result of the earphone body fit degree and compares the recognition result with the trigger determination interval. When all recognition results meet the trigger determination interval, it is triggered to run and play the prompt audio to prompt the user wearing the earphone to correct the earphone wearing posture;

[0015] The prompt unit inside the status evaluation module is connected through wireless network interaction. The status evaluation module is connected to the monitoring module, the analysis module, the determination module, and the early warning module through wireless network interaction. The early warning module is connected to the management module through wireless network interaction.

[0016] Further, the state evaluation module is integrated by a pressure sensor and a temperature sensor. There are three or more pressure sensors, and the pressure sensors are evenly distributed in a matrix on the surface of the earphone that contacts the user's skin when worn. The temperature sensor is arranged at the center position of the pressure sensors distributed in a matrix. During the operation stage of the state evaluation module, the pressure sensor and the temperature sensor run synchronously with the earphone, and real-time sense the pressure information and temperature information, and identify the wearing fit degree of the earphone body according to the sensed pressure information and temperature information;

[0017] Among them, the pressure sensor and the temperature sensor run continuously based on the user-defined operating frequency at the system end. Each time they run, they synchronously execute the identification and decision of the wearing fit degree of the earphone body and the heart rate monitoring direction once. The heart rate monitoring direction includes the left ear and the right ear.

[0018] Further, the recognition logic of the wearing fit degree of the earphone body is expressed as:

[0019] ;

[0020] In the formula: is the performance value of the wearing fit degree of the earphone body; is the total number of pressure sensors; is the pressure value sensed by the i-th pressure sensor; is the pressure fit determination interval; is the temperature value sensed by the temperature sensor; is the normalization function of the temperature;

[0021] Among them, represents the determination function. When holds, = 1. Otherwise, = 0. The larger the value, the higher the wearing fit degree of the earphone body. There are two monitoring modules, and the two monitoring modules are respectively deployed on the left ear and the right ear of the earphone. During the operation stage of the monitoring module, the monitoring module belonging to the heart rate monitoring direction with a high wearing fit degree of the earphone body is used to monitor the user's heart rate information.

[0022] Further, the monitoring module is integrated by a photoelectric sensor. During the operation stage of the monitoring module, it follows:

[0023] Run continuously twice based on a predetermined frequency, synchronously set the operation frequency coordination interval and the operation frequency adjustment ratio. When the user's heart rate information monitored in the previous two times shows an upward trend, the operation frequency of the monitoring module increases. When the user's heart rate information monitored in the previous two times shows a downward trend, the operation frequency of the monitoring module decreases, that is:

[0024] ;

[0025] In the formula: is the operating frequency of the monitoring module; is the predetermined frequency of the monitoring module; is the user heart rate currently monitored by the monitoring module; is the user heart rate monitored by the monitoring module last time; is the operating frequency adjustment ratio;

[0026] Among them, after obtaining, it is further compared with the operating frequency coordination interval, when it is in the operating frequency coordination interval, take the original value as the operating frequency of the monitoring module. When the operating frequency of the monitoring module is not in the operating frequency coordination interval, take the end value with the smallest difference from the two end values of the operating frequency coordination interval as the operating frequency of the monitoring module.

[0027] Furthermore, after the monitoring module monitors the user heart rate information, a user heart rate record graph is created synchronously. The form of the user heart rate record graph is any one of a line graph, a bar graph, and a curve graph. The horizontal axis of the user heart rate record graph represents the heart rate information monitoring time, and the vertical axis represents the monitored heart rate value;

[0028] Among them, the monitoring module starts and stops synchronously with the power-on and power-off operations of the earphone. Before the monitoring module stops running each time, the user heart rate record graph generated in the monitoring module is synchronously stored in the monitoring module, and when storing, the heart rate monitoring graph is synchronously marked with the time domain of the corresponding heart rate information source.

[0029] Furthermore, the user heart rate variability analysis logic in the analysis module is expressed as:

[0030] ;

[0031] In the formula: is the heart rate variability; is the heart rate value sequence in the current heart rate record graph; is the jth heart rate value in the current heart rate record graph; is the approximate entropy function; is the power spectral density;

[0032] Among them, , is the average logarithmic ratio in M dimensions, 0.04~0.15Hz is the low-frequency band in the heart rate signal, and 0.15~0.4 is the high-frequency band in the heart rate signal.

[0033] Furthermore, the calculation logic is expressed as:

[0034] ;

[0035] wherein: is the length value of the heart rate sequence; is the ratio of the number of vector pairs that meet the conditions;

[0036] wherein, the condition is , is the set similarity tolerance;

[0037] ;

[0038] wherein: is the th heart rate value starting from the starting position of the sequence; similarly; α is the starting position index in the sequence;

[0039] wherein, the heart rate value sequence is denoted as , and M is the embedding dimension.

[0040] Furthermore, the determination logic for whether the user state is safe in the determination module is expressed as:

[0041] ;

[0042] wherein: is the number of user heart rate variabilities based on the current cumulative analysis of time series; is the user heart rate variability obtained from the vth analysis; is the determination threshold;

[0043] wherein, represents the average value of . The above formula holds, indicating that the user state is unsafe, and vice versa, indicating safety.

[0044] Adopting the technical solution provided by the present invention, compared with the known public technology, it has the following beneficial effects:

[0045] The present invention provides a heart rate monitoring system for TWS earphones. During the operation of the system, through the mutual perception and monitoring of the pressure sensor and the temperature sensor, the earphone wearing state of the user is identified, so as to prompt the user to adjust the earphone wearing posture based on the recognition result, and at the same time, based on the recognition result, the source of the heart rate monitoring data is determined, making the accuracy of the monitored user heart rate data higher. Furthermore, the user heart rate data is used to analyze the user heart rate variability, and finally, an early warning is issued based on the cumulative analysis result of the user heart rate variability, providing a more stable heart rate monitoring service for the user, and diagnosing the safety of the user state based on the monitored heart rate data to assist the user in self-management of the physical state. Description of the Drawings

[0046] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required for the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can be obtained based on these drawings.

[0047] Figure 1 It is a schematic structural diagram of a heart rate monitoring system for TWS earphones. Detailed implementation manners

[0048] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.

[0049] The following further describes the present invention with reference to the embodiments. Embodiment

[0050] The heart rate monitoring system of the TWS earphones in this embodiment, as Figure 1 shown, includes:

[0051] A state evaluation module 1, configured to sense the wearing fit degree of the earphone body and make a decision on the heart rate monitoring direction based on the sensing result of the wearing fit degree of the earphone body;

[0052] The state evaluation module 1 is integrated by a pressure sensor and a temperature sensor. There are three or more pressure sensors, and the pressure sensors are evenly distributed in a matrix on the surface of the earphone that is in contact with the user's skin when worn. The temperature sensor is arranged at the center position of the pressure sensors distributed in a matrix. During the operation stage of the state evaluation module 1, the pressure sensor and the temperature sensor run synchronously with the earphone, and continuously sense the pressure information and temperature information, and identify the wearing fit degree of the earphone body according to the sensed pressure information and temperature information;

[0053] Among them, the pressure sensor and the temperature sensor continuously run based on the user-defined operating frequency at the system end, and each time they run, they synchronously execute an identification and decision on the wearing fit degree of the earphone body and the heart rate monitoring direction. The heart rate monitoring direction includes the left ear and the right ear;

[0054] The recognition logic of the wearing fit degree of the earphone body is expressed as:

[0055] ;

[0056] In the formula: represents the performance value of the fitting degree of the headphone body; is the total amount of pressure sensors; is the pressure value sensed by the i-th pressure sensor; is the pressure fitting determination interval; is the temperature value sensed by the temperature sensor; is the normalization function of temperature;

[0057] Among them, represents the determination function, when it holds, = 1, otherwise, = 0, The larger the value, the higher the fitting degree of the headphone body. There are two monitoring modules 2, and the two monitoring modules 2 are respectively deployed on the left ear and the right ear of the headphone. During the operation of the monitoring module 2, the monitoring module 2 in the heart rate monitoring direction with a high fitting degree performance value of the headphone body is used to monitor the user's heart rate information;

[0058] Specifically, the recognition logic formula of the fitting degree of the headphone body obtains the relative value F of the headphone fitting degree through the determination function of the pressure value and the normalization processing of the temperature value, and uses F to determine the headphone fitting degree, providing operation logic support for the further operation of the monitoring module 2.

[0059] The state evaluation module 1 is provided with sub-modules at a lower level, including:

[0060] The prompt unit 11 is used to prompt the headphone-wearing user to correct the headphone wearing posture;

[0061] Among them, the prompt unit 11 is built-in with an audio module, and the system-side user has preset a prompt audio inside the audio module. A trigger determination interval is set in the prompt unit 11. The prompt unit 11 obtains the recognition result of the headphone body fitting degree, and based on the comparison between the recognition result and the trigger determination interval, when all recognition results meet the trigger determination interval, it is triggered to operate and play the prompt audio to prompt the headphone-wearing user to correct the headphone wearing posture;

[0062] The monitoring module 2 is used to monitor the user's heart rate information and generate a user heart rate record graph in real time based on the accumulated monitored user heart rate information;

[0063] The monitoring module 2 is integrated by a photoelectric sensor, and the operation of the monitoring module 2 follows:

[0064] Run continuously twice based on a predetermined frequency, synchronously set the operating frequency coordination interval and the operating frequency adjustment ratio. When the user's heart rate information monitored in the previous two times shows an upward trend, the operating frequency of monitoring module 2 increases. When the user's heart rate information monitored in the previous two times shows a downward trend, the operating frequency of the monitoring module decreases, that is:

[0065] ;

[0066] In the formula: is the operating frequency of monitoring module 2; is the predetermined frequency of monitoring module 2; is the user's heart rate currently monitored by monitoring module 2; is the user's heart rate monitored by monitoring module 2 last time; is the operating frequency adjustment ratio;

[0067] Among them, After obtaining, further compare with the operating frequency coordination interval. When it is within the operating frequency coordination interval, take the original value as the operating frequency of monitoring module 2. When the operating frequency of monitoring module 2 is not within the operating frequency coordination interval, take the end value with the smallest difference from the two end values of the operating frequency coordination interval as the operating frequency of monitoring module 2;

[0068] Limit the operating frequency of monitoring module 2 during operation through the above logical formula.

[0069] After monitoring module 2 monitors the user's heart rate information during operation, a user heart rate record graph is synchronously created. The form of the user heart rate record graph is any one of a line graph, a bar graph, and a curve graph. The horizontal axis of the user heart rate record graph represents the heart rate information monitoring time, and the vertical axis represents the monitored heart rate value;

[0070] Among them, monitoring module 2 starts and stops synchronously with the power-on and power-off operations of the earphone. Before monitoring module 2 stops running each time, the user heart rate record graph generated in monitoring module 2 is synchronously stored in monitoring module 2, and when storing, the heart rate monitoring graph is synchronously marked with the time domain of the corresponding heart rate information source.

[0071] Analysis module 3 is used to traverse the user heart rate record graph generated in real time in monitoring module 2 and analyze the user's heart rate variability based on the user heart rate record graph;

[0072] The user heart rate variability analysis logic in analysis module 3 is expressed as:

[0073] ;

[0074] In the formula: is the heart rate variability; is the sequence of heart rate values in the current heart rate record graph; is the j-th heart rate value in the current heart rate record graph; is the approximate entropy function; is the power spectral density;

[0075] Among them, , is the average logarithmic ratio in M dimensions, 0.04 - 0.15Hz is the low-frequency band in the heart rate signal, and 0.15 - 0.4 is the high-frequency band in the heart rate signal;

[0076] The calculation logic is expressed as:

[0077] ;

[0078] In the formula: is the length value of the heart rate sequence; is the vector logarithmic ratio that meets the conditions;

[0079] Among them, the condition is , is the set similarity tolerance;

[0080] ;

[0081] In the formula: is the -th heart rate value starting from the beginning position of the sequence; Similarly; α is the starting position index in the sequence; here K can be regarded as the displacement of the reconstructed vector, that is, as the time delay parameter;

[0082] Among them, the heart rate value sequence is denoted as , and M is the embedding dimension;

[0083] Through the above logical formula calculation, based on the user's heart rate monitoring data, the user's heart rate variability is monitored, so as to realize the judgment of whether the user's state is safe in this embodiment.

[0084] The determination module 4 is used to set a determination threshold, and based on the comparison between the determination threshold and the analysis results of the user's heart rate variability accumulated by the analysis module 3 for no less than two times, it is determined whether the user's state is safe;

[0085] The determination logic for whether the user's state is safe in the determination module 4 is expressed as:

[0086] ;

[0087] In the formula: is the quantity of the user's heart rate variability based on the current cumulative analysis in time series; The user's heart rate variability obtained for the v-th analysis; The determination threshold;

[0088] where denotes the mean value of If the above formula holds, it indicates that the user's state is unsafe; otherwise, it indicates safety.

[0089] Through the above logical formula, the determination logic for whether the user's state is safe in the determination module 4 is further represented.

[0090] The warning module 5 is used to receive the determination result in the determination module 4 and trigger a warning when the determination result is unsafe.

[0091] The management module 6 is used to record the historical determination results of the determination module 4 and the user's heart rate variability applied in the determination stage.

[0092] The warning module 5 stores a custom warning audio. When the warning module 5 runs and receives an unsafe determination result, it plays the warning audio through the earphone.

[0093] Inside the state evaluation module 1, there is a prompt unit 11 connected through wireless network interaction. The state evaluation module 1 is connected to the monitoring module 2, the analysis module 3, the determination module 4, and the warning module 5 through wireless network interaction. The warning module 5 is connected to the management module 6 through wireless network interaction.

[0094] In this embodiment, the state evaluation module 1 runs to sense the fitting degree of the earphone body wearing. Based on the sensing result of the earphone body wearing fitting degree, it decides the heart rate monitoring direction. The prompt unit 11 synchronously prompts the user wearing the earphone to correct the earphone wearing posture. The monitoring module 2 runs later to monitor the user's heart rate information, and based on the accumulated user's heart rate information, it generates a user's heart rate record graph in real time. Then, the analysis module 3 traverses the user's heart rate record graph generated in real time in the monitoring module 2, analyzes the user's heart rate variability based on the user's heart rate record graph. The determination module 4 further sets the determination threshold, and based on the comparison between the determination threshold and the analysis results of the user's heart rate variability accumulated by the analysis module 3 for no less than two times, it determines whether the user's state is safe. The warning module 5 receives the determination result in the determination module 4 in real time and triggers a warning when the determination result is unsafe. Finally, the management module 6 records the historical determination results of the determination module 4 and the user's heart rate variability applied in the determination stage.

[0095] Through the operation of the system in the above embodiment, the technology of the TWS earphone for monitoring heart rate is further optimized and improved, making the technology of the TWS earphone for monitoring heart rate more intelligent and accurate, and capable of providing a more convenient real-time management service for the user's physical health based on the heart rate monitoring data.

[0096] It should be noted that in this embodiment, the heart rate refers to the number of times the heart beats per minute; the heart rate value is a series of specific values obtained by continuously monitoring and recording the heart rate through a specific device. These values reflect the instantaneous heart rate at different time points. Each heart rate value in the heart rate value sequence corresponds to a specific moment, which can more finely display the change of heart rate over time. When analyzing the heart rate signal, it is usually necessary to perform filtering first to separate signals in different frequency bands. For example, a band-pass filter is used to divide the heart rate signal into a low-frequency band and a high-frequency band, and then the approximate entropy of the signals in different frequency bands is calculated respectively. This can exclude the interference of signals in other frequency bands and more accurately analyze the complexity characteristics of signals in each frequency band.

[0097] In summary, during the operation of the system in the above embodiments, through the mutual perception and monitoring of the pressure sensor and the temperature sensor, the headphone wearing state of the user is identified, and based on the identification result, the user is prompted to adjust the headphone wearing posture. At the same time, based on the identification result, the source of the heart rate monitoring data is determined, so that the accuracy of the monitored user heart rate data is higher. Furthermore, the user heart rate variability is analyzed using the user heart rate data, and finally, a warning is issued based on the cumulative user heart rate variability analysis result, providing a more stable heart rate monitoring service for the user, and diagnosing the user's state safety based on the monitored heart rate data to assist the user in self-management of the physical state.

[0098] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements will not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. Heart rate monitoring system for TWS earphones, characterized in that, Including: A status evaluation module (1) for sensing the wearing fit degree of the earphone body and making a decision on the heart rate monitoring direction based on the sensing result of the wearing fit degree of the earphone body; A monitoring module (2) for monitoring the user's heart rate information and generating a user heart rate record graph in real time based on the cumulatively monitored user heart rate information; An analysis module (3) for traversing the user heart rate record graph generated in real time in the monitoring module (2) and analyzing the user's heart rate variability based on the user heart rate record graph; A determination module (4) for setting a determination threshold and determining whether the user's state is safe based on the comparison between the determination threshold and the analysis results of the user's heart rate variability accumulated by the analysis module (3) for no less than two times; An early warning module (5) for receiving the determination result in the determination module (4) and triggering an early warning when the determination result is unsafe; A management module (6) for recording the historical determination results of the determination module (4) and the user's heart rate variability applied in the determination stage; A custom warning audio is stored in the early warning module (5). When the early warning module (5) runs and receives an unsafe determination result, the warning audio is played through the earphone; The status evaluation module (1) is integrated by a pressure sensor and a temperature sensor. Three or more pressure sensors are provided, and the pressure sensors are evenly distributed in a matrix on the surface of the earphone in contact with the user's skin when worn. The temperature sensor is arranged at the center of the pressure sensors distributed in a matrix. During the operation stage of the status evaluation module (1), the pressure sensor and the temperature sensor run synchronously with the earphone, sense the pressure information and temperature information in real time, and identify the wearing fit degree of the earphone body according to the sensed pressure information and temperature information; Among them, the pressure sensor and the temperature sensor run continuously based on the user-defined operating frequency at the system end. Each time they run, they synchronously execute the identification and decision of the wearing fit degree of the earphone body and the heart rate monitoring direction once. The heart rate monitoring direction includes the left ear and the right ear; The recognition logic of the wearing fit degree of the earphone body is expressed as: ； Wherein: is the performance value of the fitting degree of the headphone body; is the total amount of pressure sensors; is the pressure value sensed by the i-th pressure sensor; is the pressure fitting determination interval; is the temperature value sensed by the temperature sensor; is the normalization function of temperature; Among them, represents the decision function, when it holds, = 1, otherwise, = 0, The larger the , the higher the degree of fitting of the earphone body during wearing. There are two monitoring modules (2), and the two monitoring modules (2) are respectively deployed on the left ear and the right ear of the earphone. During the operation of the monitoring module (2), the monitoring module (2) belonging to the heart rate monitoring direction with a high degree of fitting performance value of the earphone body during wearing is used to monitor the user's heart rate information.

2. The heart rate monitoring system of the TWS earphone according to claim 1, characterized in that, A sub-module is set under the status evaluation module (1), including: A prompt unit (11) for prompting the user wearing the earphone to correct the wearing posture of the earphone; Among them, the prompt unit (11) is built-in with an audio module. A prompt audio is preset by the user at the system end inside the audio module. A trigger determination interval is set in the prompt unit (11). The prompt unit (11) obtains the recognition result of the earphone body fit degree, compares the recognition result with the trigger determination interval, and when all the recognition results meet the trigger determination interval, triggers the operation and broadcasts the prompt audio to prompt the user wearing the earphone to correct the wearing posture of the earphone.

3. The heart rate monitoring system of the TWS earphone according to claim 1, characterized in that, The monitoring module (2) is integrated by a photoelectric sensor. The operation stage of the monitoring module (2) follows: Run continuously twice based on a predetermined frequency, synchronously set an operating frequency coordination interval and an operating frequency adjustment ratio. When the user heart rate information monitored in the first two times shows an upward trend, the operating frequency of the monitoring module (2) increases. When the user heart rate information monitored in the first two times shows a downward trend, the operating frequency of the monitoring module decreases, that is: ； Wherein: is the operating frequency of the monitoring module (2); is the predetermined frequency of the monitoring module (2); is the currently monitored user heart rate of the monitoring module (2); is the previously monitored user heart rate of the monitoring module (2); is the operating frequency adjustment ratio; Among them, After obtaining, it is further compared with the operating frequency coordination interval. When it is within the operating frequency coordination interval, Take the original value as the operating frequency of the monitoring module (2). When the operating frequency of the monitoring module (2) is not within the operating frequency coordination interval, Take the end value with the smallest difference from the two end values of the operating frequency coordination interval as the operating frequency of the monitoring module (2).

4. The heart rate monitoring system of the TWS earphone according to claim 1, characterized in that, After the monitoring module (2) operates to monitor the user's heart rate information, a user heart rate record graph is synchronously created. The form of the user heart rate record graph is any one of a line graph, a bar graph, and a curve graph. The horizontal axis of the user heart rate record graph represents the heart rate information monitoring time, and the vertical axis represents the monitored heart rate value; Among them, the monitoring module (2) starts and stops synchronously following the power-on and power-off operations of the earphone. Before the monitoring module (2) stops running each time, the user heart rate record graph generated in the monitoring module (2) is synchronously stored in the monitoring module (2), and when storing, the heart rate monitoring graph is synchronously marked with the time domain of the corresponding heart rate information source.

5. The heart rate monitoring system of the TWS earphone according to claim 1, characterized in that, The user heart rate variability analysis logic in the analysis module (3) is expressed as: ； Wherein: is the heart rate variability; is the sequence of heart rate values in the current heart rate recording graph; is the j-th heart rate value in the current heart rate recording graph; is the approximate entropy function; is the power spectral density; wherein, , is the average logarithmic ratio in M dimensions; 0.04~0.15Hz is the low-frequency band in the heart rate signal, and 0.15~0.4 is the high-frequency band in the heart rate signal.

6. The heart rate monitoring system of the TWS earphone according to claim 5, wherein, The computing logic is expressed as: ； In the formula: is the length value of the heart rate sequence; is the vector logarithm ratio that meets the conditions; wherein, the condition is , is a set similarity tolerance; ； In the formula: is the th heart rate value starting from the start position of the sequence; Similarly, α is the starting position index in the sequence; Among them, the heart rate value sequence is denoted as , where M is the embedding dimension.

7. The heart rate monitoring system of the TWS earphone according to claim 1, characterized in that The determination logic for whether the user's state is safe in the determination module (4) is expressed as: ； In the formula: is the quantity of the user's heart rate variability based on the current cumulative analysis of time series; is the user's heart rate variability obtained from the v-th analysis; is the determination threshold; Among them, represents taking the mean value of . If the above formula holds, it means the user state is insecure; otherwise, it means secure.

8. The heart rate monitoring system of the TWS earphone according to claim 1, characterized in that, Inside the state evaluation module (1), a prompt unit (11) is connected through wireless network interaction. The state evaluation module (1) is connected to a monitoring module (2), an analysis module (3), a determination module (4), and an early warning module (5) through wireless network interaction. The early warning module (5) is connected to a management module (6) through wireless network interaction.

Images