Heart rate monitoring system of TWS earphone

Abstract

The invention relates to the technical field of TWS earphones, in particular to a heart rate monitoring system of a TWS earphone, which comprises a state evaluation module used for sensing the wearing fitting degree of an earphone body and deciding a heart rate monitoring direction based on a sensing result of the wearing fitting degree of the earphone body; the monitoring module is used for monitoring user heart rate information and generating a user heart rate record graph in real time based on the accumulated monitored user heart rate information; the analysis module is used for traversing the user heart rate record graph generated in the monitoring module in real time and analyzing the user heart rate variability based on the user heart rate record graph; the headset wearing state of the user is recognized through sensing and monitoring of the pressure sensor and the temperature sensor, so that the user is prompted to adjust the headset wearing posture based on the recognition result, meanwhile, the heart rate monitoring data source is decided based on the recognition result, and the monitored heart rate data of the user is higher in precision.

Description

Technical Field

[0001] The present invention relates to the technical field of TWS earphones, and in particular 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 photoelectric sensors to monitor heart rate data in real time by emitting and receiving light, based on changes in the degree of light absorption by the blood. Users can understand their heart rate status at any time during sports and other scenarios, which assists in exercise intensity control and health management, which is convenient and efficient.

[0003] The invention patent application with application number 201680000757.8 discloses an intelligent heart rate headset with a blood pressure measurement function, wherein each earplug of the intelligent heart rate headset integrates at least one heart rate chip and a pressure sensor, and each heart rate chip is integrated on one side of the earplug. The intelligent heart rate headset communicates with an intelligent portable terminal, and the intelligent heart rate headset obtains the photoelectric volume pulse wave of the user's ear and the photoelectric volume pulse wave of other parts of the user respectively; the photoelectric volume pulse wave of the user's ear and the photoelectric volume pulse wave of other parts of the user are transmitted to a processor in real time and synchronously; the processor processes the photoelectric volume pulse wave of the user's ear and the photoelectric volume pulse wave of other parts of the user through a calculation model to obtain the user's blood pressure value; the calculation model is obtained by separately calibrating the heart rate chip and the pressure sensor.

[0004] The application aims to solve the problem that "the accuracy of health products such as wristbands and watches that currently monitor the user's blood pressure value through the pulse wave transmission time is largely affected by the signal-to-noise ratio of the collected photoelectric volume pulse wave. The wrist and the corresponding fingertips are often used to collect photoelectric volume pulse waves, and the signal-to-noise ratio of the photoelectric volume pulse waves collected at the wrist is poor, affecting the accuracy of the user's blood pressure value monitoring. At the same time, due to the need to monitor the photoelectric volume pulse waves of the wrist and fingertips at the same time, the commonly used electrocardiogram (ECG) monitoring method and finger ring and wristband with additional finger ring are very inconvenient to wear."

[0005] However, existing earphone heart rate monitoring functions generally have the following problems: The accuracy of heart rate monitoring is affected by the fit of the earphones; It can only realize simple heart rate monitoring, and cannot do more relevant analysis based on the heart rate monitoring results.

[0006] To this end, a heart rate monitoring system for TWS headphones is proposed. Summary of the invention

[0007] In view of the above-mentioned shortcomings of the prior art, the present invention provides a heart rate monitoring system for TWS headphones, which solves the technical problems raised in the above-mentioned background technology.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions: The heart rate monitoring system of TWS earphones includes: a state evaluation module, which is used to sense the wearing fit of the earphone body, and decide the heart rate monitoring direction based on the perception result of the wearing fit of the earphone body; a monitoring module, which 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; an analysis module, which is used 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; a determination module, which is used to set a determination threshold, and determine whether the user state is safe based on the determination threshold and the user heart rate variability analysis results currently accumulated by the analysis module of not less than two times; an early warning module, which is used to receive the determination result in the determination module, and trigger an early warning when the determination result is unsafe; a management module, which is used to record the historical determination results of the determination module and the user heart rate variability applied in the determination stage; the early warning module stores a custom early warning audio, and when the early warning module receives an unsafe determination result, the early warning audio is played through the earphone; The state assessment module is provided with submodules at the lower level, including: A prompting unit, used to prompt the headphone wearer to correct the headphone wearing posture; Among them, the prompt unit has a built-in audio module, and the system end user presets the prompt audio inside the audio module. The prompt unit is set with a trigger judgment interval. The prompt unit obtains the earphone body fit recognition result, and compares the recognition result with the trigger judgment interval. When all recognition results meet the trigger judgment interval, the operation is triggered and the prompt audio is broadcast to prompt the earphone wearer to correct the earphone wearing posture; The state assessment module is interactively connected with a prompt unit via a wireless network, the state assessment module is interactively connected with a monitoring module, an analysis module, a determination module and an early warning module via a wireless network, and the early warning module is interactively connected with a management module via a wireless network.

[0009] Furthermore, the state evaluation module is integrated with a pressure sensor and a temperature sensor, and three or more pressure sensors are provided. 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 the earphone is worn, and the temperature sensor is arranged at the center of the pressure sensors distributed in the matrix. During the operation phase of the state evaluation module, the pressure sensor and the temperature sensor run synchronously with the earphone, sense the pressure information and the temperature information in real time, and identify the degree of fit of the earphone body according to the sensed pressure information and the temperature information. Among them, the pressure sensor and temperature sensor run continuously based on the user-defined operating frequency on the system side. Each operation simultaneously performs an identification and decision on the wearing fit of the earphone body and the heart rate monitoring direction. The heart rate monitoring directions include the left ear and the right ear.

[0010] Furthermore, the recognition logic of the wearing fit degree of the earphone body is expressed as: ; Where: It is the performance value of the wearing fit of the earphone body; is the total amount of pressure sensor; is the pressure value sensed by the i-th pressure sensor; It is the pressure fitting determination interval; It is the temperature value sensed by the temperature sensor; is the normalized function of temperature; in, represents the decision function, When established, =1, otherwise, =0, The larger the value is, the better the fit of the earphone body. There are two monitoring modules, which are respectively deployed in the left and right ears of the earphone. During the operation of the monitoring modules, the monitoring module in the heart rate monitoring direction with a high value of the fit of the earphone body monitors the user's heart rate information.

[0011] Furthermore, the monitoring module is integrated with a photoelectric sensor, and the monitoring module is operated in accordance with: Based on two consecutive operations at a predetermined frequency, the operating frequency coordination interval and the operating frequency adjustment ratio are set synchronously. When the user's heart rate information monitored for the first two times shows an upward trend, the operating frequency of the monitoring module increases. When the user's heart rate information monitored for the first two times shows a downward trend, the operating frequency of the monitoring module decreases, that is: ; Where: To monitor the module operating frequency; Predetermine the frequency for the monitoring module; The user's heart rate currently monitored by the monitoring module; The user's heart rate last monitored by the monitoring module; Adjust the ratio for the operating frequency; in, After obtaining, further compare with the operating frequency coordination interval, When 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, The minimum end value of the difference between the two end values ​​of the operating frequency coordination interval is taken as the operating frequency of the monitoring module.

[0012] Furthermore, after the monitoring module runs and monitors the user's heart rate information, it synchronously creates a user heart rate record graph, the user heart rate record graph is in the form of 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 starts and stops synchronously with the power on and off operations of the headset. Before the monitoring module stops running each time, the user heart rate record graph generated in the monitoring module is synchronized with the storage operation in the monitoring module, and when storing, the heart rate monitoring graph is synchronously marked with the corresponding time domain of the heart rate information source.

[0013] Furthermore, the user heart rate variability analysis logic in the analysis module is expressed as: ; Where: is heart rate variability; The heart rate value sequence of 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; in, , is the average logarithmic ratio in M ​​dimension, 0.04~0.15Hz is the low frequency band of heart rate signal, and 0.15~0.4 is the high frequency band of heart rate signal.

[0014] Furthermore, the The calculation logic is expressed as: ; Where: is the length of the heart rate sequence; is the logarithmic ratio of the vector that satisfies the conditions; Among them, the conditions are , is the similarity tolerance set; ; Where: Starting from the beginning of the sequence Heart rate value; Similarly; α is the starting position index in the sequence; Among them, the heart rate value sequence is recorded as , M is the embedding dimension.

[0015] Furthermore, the determination logic of whether the user status is safe in the determination module is expressed as: ; Where: The amount of user's heart rate variability based on the current cumulative analysis of the time series; The user's heart rate variability obtained for the vth analysis; is the judgment threshold; in, Express If the above formula is established, it means that the user status is unsafe, otherwise it means it is safe.

[0016] Compared with the known public technology, the technical solution provided by the present invention has the following beneficial effects: The present invention provides a heart rate monitoring system for TWS headphones. During operation, the system identifies the headphone wearing status of the user through the dual perception monitoring of the pressure sensor and the temperature sensor, thereby prompting the user to adjust the headphone wearing posture based on the identification result, and at the same time, deciding the source of heart rate monitoring data based on the identification result, so that the monitored user heart rate data is more accurate, and further using the user heart rate data to analyze the user's heart rate variability, and finally issuing an early warning based on the accumulated user heart rate variability analysis results, providing the user with a more stable heart rate monitoring service, and diagnosing the user's status safety based on the monitored heart rate data, to assist the user in self-management of the physical state. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 This is a schematic diagram of the structure of the heart rate monitoring system of TWS headphones. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] The present invention will be further described below in conjunction with the embodiments. Example

[0021] The heart rate monitoring system of the TWS headset of this embodiment is as follows Figure 1 As shown, including: State evaluation module 1, used to sense the fit of the earphone body, and decide the direction of heart rate monitoring based on the sensed fit of the earphone body; The state evaluation module 1 is integrated with a pressure sensor and a temperature sensor. There are three or more pressure sensors, which are evenly distributed in a matrix on the surface of the earphone that is in contact with the user's skin when the earphone is worn. The temperature sensor is arranged at the center of the pressure sensors distributed in a matrix. During the operation phase of the state evaluation module 1, the pressure sensor and the temperature sensor run synchronously with the earphone, sense the pressure information and the temperature information in real time, and identify the degree of fit of the earphone body according to the sensed pressure information and the temperature information. Among them, the pressure sensor and temperature sensor run continuously based on the user-defined operating frequency on the system side. Each operation simultaneously performs an identification and decision on the wearing fit of the earphone body and the heart rate monitoring direction. The heart rate monitoring direction includes the left ear and the right ear. The recognition logic of the earphone body's wearing fit is expressed as: ; Where: It is the performance value of the wearing fit of the earphone body; is the total amount of pressure sensor; is the pressure value sensed by the i-th pressure sensor; It is the pressure fitting determination interval; It is the temperature value sensed by the temperature sensor; is the normalized function of temperature; in, represents the decision function, When established, =1, otherwise, =0, The larger the value, the better the fit of the earphone body. Two monitoring modules 2 are provided, and the two monitoring modules 2 are respectively deployed in the left ear and the right ear of the earphone. When the monitoring module 2 is running, the monitoring module 2 in the heart rate monitoring direction with a high fit value of the earphone body performs the monitoring of the user's heart rate information. Specifically, the identification logic formula of the degree of fit of the earphone body is obtained through the judgment function of the pressure value and the temperature value is normalized to obtain the relative value of the degree of fit of the earphone, that is, F. F is used to judge the degree of fit of the earphone, providing operation logic support for the further operation of the monitoring module 2.

[0022] The status assessment module 1 is provided with submodules at the lower level, including: A prompting unit 11, used to prompt the headphone wearer to correct the headphone wearing posture; Among them, the prompt unit 11 has a built-in audio module, and the system end user presets a prompt audio inside the audio module. The prompt unit 11 is set with a trigger determination interval. The prompt unit 11 obtains the earphone body fit recognition result, and compares the recognition result with the trigger determination interval. When all recognition results meet the trigger determination interval, the operation is triggered, and the prompt audio is broadcast to prompt the earphone wearer to correct the earphone wearing posture; Monitoring module 2, used to monitor the user's heart rate information, and generate a user's heart rate record graph in real time based on the accumulated monitored user's heart rate information; Monitoring module 2 is integrated with photoelectric sensors. The operation phase of monitoring module 2 complies with: Based on two consecutive operations at a predetermined frequency, the operating frequency coordination interval and the operating frequency adjustment ratio are set synchronously. When the user's heart rate information monitored twice before shows an upward trend, the operating frequency of the monitoring module 2 increases. When the user's heart rate information monitored twice before shows a downward trend, the operating frequency of the monitoring module decreases, that is: ; Where: To monitor the operating frequency of module 2; Predetermining a frequency for monitoring module 2; The user's heart rate currently monitored by monitoring module 2; The user's heart rate last monitored by monitoring module 2; Adjust the ratio for the operating frequency; in, After obtaining, further compare with the operating frequency coordination interval, When in 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 in the operating frequency coordination interval, Take the minimum end value of the difference between the two end values ​​of the operating frequency coordination interval as the operating frequency of the monitoring module 2; The operating frequency of the monitoring module 2 during operation is limited by the above logic formula.

[0023] After the monitoring module 2 runs and monitors the user's heart rate information, it synchronously creates a user heart rate record graph, which is in the form of a line graph, a bar graph, or 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 with the on / off operation of the headset. Before the monitoring module 2 stops running each time, the user's heart rate record graph generated in the monitoring module 2 is synchronized with the storage operation 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. Analysis module 3, used for traversing the user heart rate record graph generated in real time by monitoring module 2, and analyzing the user heart rate variability based on the user heart rate record graph; The user heart rate variability analysis logic in analysis module 3 is expressed as: ; Where: is heart rate variability; The heart rate value sequence of 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; in, , is the average logarithmic ratio in M ​​dimension, 0.04~0.15Hz is the low frequency band of heart rate signal, and 0.15~0.4 is the high frequency band of heart rate signal; The calculation logic is expressed as: ; Where: is the length of the heart rate sequence; is the logarithmic ratio of the vector that satisfies the conditions; Among them, the conditions are , is the similarity tolerance set; ; Where: Starting from the beginning of the sequence Heart rate value; Similarly; α is the starting position index in the sequence; here K can be regarded as the displacement of the reconstruction vector, that is, as a time delay parameter; Among them, the heart rate value sequence is recorded as , M is the embedding dimension; By calculating through the above logic formula, the user's heart rate variability is monitored based on the user's heart rate monitoring data, so that the system in this embodiment can determine whether the user's state is safe.

[0024] A determination module 4 is used to set a determination threshold, and determine whether the user's state is safe based on the comparison between the determination threshold and at least two user heart rate variability analysis results currently accumulated by the analysis module 3; The decision logic for whether the user status is safe in the decision module 4 is expressed as: ; Where: The amount of user's heart rate variability based on the current cumulative analysis of the time series; The user's heart rate variability obtained for the vth analysis; is the judgment threshold; in, Express The average value of , if the above formula is established, it means that the user status is unsafe, otherwise, it means it is safe; The above logic formula further represents the decision logic of whether the user status is safe in the decision module 4.

[0025] The early warning module 5 is used to receive the determination result of the determination module 4 and trigger an early warning when the determination result is unsafe; Management module 6, used to record the historical determination results of determination module 4 and the user's heart rate variability applied in the determination stage; The warning module 5 stores a custom warning audio. When the warning module 5 receives an unsafe judgment result, the warning audio is played through the earphone; The status assessment module 1 is interactively connected to a prompt unit 11 via a wireless network. The status assessment module 1 is interactively connected to a monitoring module 2, an analysis module 3, a determination module 4 and an early warning module 5 via a wireless network. The early warning module 5 is interactively connected to a management module 6 via a wireless network.

[0026] In this embodiment, the state evaluation module 1 operates to sense the degree of fit of the earphone body, and determines the direction of heart rate monitoring based on the sensed result of the degree of fit of the earphone body. The prompt unit 11 synchronously prompts the user wearing the earphone to correct the earphone wearing posture. The monitoring module 2 operates to monitor the user's heart rate information, and generates a user heart rate record graph in real time based on the accumulated monitored user heart rate information. The analysis module 3 then traverses the user heart rate record graph generated in real time in the monitoring module 2, and analyzes the user heart rate variability based on the user heart rate record graph. The judgment module 4 further sets a judgment threshold, and compares the judgment threshold with the user heart rate variability analysis results currently accumulated by the analysis module 3 by at least two times to determine whether the user state is safe. The early warning module 5 receives the judgment result in the judgment module 4 in real time, and triggers an early warning when the judgment result is unsafe. Finally, the management module 6 records the historical judgment results of the judgment module 4 and the user heart rate variability applied in the judgment stage. Through the operation of the system in the above embodiment, the technology of monitoring heart rate of TWS earphones is further optimized and improved, so that the technology of monitoring heart rate of TWS earphones is more intelligent and accurate, and can provide more convenient management services for the user's physical health in real time based on the heart rate monitoring data; It should be noted that, in this embodiment, heart rate refers to the number of heart beats per minute; heart rate value is a series of specific values ​​that are continuously monitored and recorded by specific equipment. 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 show the changes of heart rate over time in more detail. When analyzing the heart rate signal, it is usually necessary to perform filtering first to separate signals of different frequency bands. For example, a bandpass filter is used to divide the heart rate signal into a low frequency band and a high frequency band, and then the approximate entropy calculation is performed on the signals of different frequency bands respectively. In this way, the interference of signals of other frequency bands can be eliminated, and the complexity characteristics of the signals of each frequency band can be analyzed more accurately.

[0027] In summary, during operation, the system in the above embodiment identifies the user's headphone wearing status through the dual perception monitoring of the pressure sensor and the temperature sensor, and prompts the user to adjust the headphone wearing posture based on the identification result. At the same time, the source of heart rate monitoring data is determined based on the identification result, so that the monitored user heart rate data is more accurate, and the user's heart rate data is further used to analyze the user's heart rate variability, and finally an early warning is issued based on the accumulated user heart rate variability analysis results, so as to provide users with a more stable heart rate monitoring service, and diagnose the user's status safety based on the monitored heart rate data, to assist the user in self-management of his or her physical condition.

[0028] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. Heart rate monitoring system of TWS headset, characterized in that: include: A state evaluation module (1) is used to sense the fit of the earphone body and decide the direction of heart rate monitoring based on the sensed fit of the earphone body; A monitoring module (2) is used to monitor the user's heart rate information and generate a user's heart rate record graph in real time based on the accumulated monitored user's heart rate information; An analysis module (3) is used to traverse the user heart rate record graph generated in real time in the monitoring module (2) and analyze the user heart rate variability based on the user heart rate record graph; A determination module (4) is used to set a determination threshold, and to determine whether the user's state is safe based on a comparison between the determination threshold and at least two user heart rate variability analysis results currently accumulated by the analysis module (3); An early warning module (5) is used to receive the determination result of the determination module (4) and trigger an early warning when the determination result is unsafe; A management module (6) for recording historical determination results of the determination module (4) and the user's heart rate variability used in the determination stage; The warning module (5) stores a custom warning audio, and when the warning module (5) receives an unsafe determination result, the warning audio is played through headphones.

2. The heart rate monitoring system of the TWS headset according to claim 1, characterized in that: The state evaluation module (1) is integrated with a pressure sensor and a temperature sensor. Three or more pressure sensors are provided. 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 the earphone is worn. The temperature sensor is provided at the center of the pressure sensors distributed in the matrix. During the operation phase of the state evaluation module (1), the pressure sensor and the temperature sensor operate synchronously with the earphone, sense pressure information and temperature information in real time, and identify the degree of fit of the earphone body according to the sensed pressure information and temperature information. Among them, the pressure sensor and temperature sensor run continuously based on the user-defined operating frequency on the system side. Each operation simultaneously performs an identification and decision on the wearing fit of the earphone body and the heart rate monitoring direction. The heart rate monitoring directions include the left ear and the right ear.

3. The heart rate monitoring system of the TWS headset according to claim 2, characterized in that: The recognition logic of the earphone body wearing fit degree is expressed as: ； Where: It is the performance value of the wearing fit of the earphone body; is the total amount of pressure sensor; is the pressure value sensed by the i-th pressure sensor; It is the pressure fitting determination interval; It is the temperature value sensed by the temperature sensor; is the normalized function of temperature; in, represents the decision function, When established, =1, otherwise, =0, The larger the value, the better the fit of the earphone body. Two monitoring modules (2) are provided, and the two monitoring modules (2) are respectively deployed in the left ear and the right ear of the earphone. During the operation phase of the monitoring module (2), the monitoring module (2) belonging to the heart rate monitoring direction with a high fit value of the earphone body performs monitoring of the user's heart rate information.

4. The heart rate monitoring system of the TWS headset according to claim 2, characterized in that: The state assessment module (1) is provided with submodules at a lower level, including: A prompting unit (11), used for prompting a user wearing the headset to correct the headset wearing posture; The prompt unit (11) has an audio module built in, and a prompt audio is preset in the audio module by a system user. A trigger determination interval is set in the prompt unit (11). The prompt unit (11) obtains the earphone body fit recognition result, and compares the recognition result with the trigger determination interval. When all recognition results meet the trigger determination interval, the prompt operation is triggered and the prompt audio is broadcast to prompt the earphone wearer to correct the earphone wearing posture.

5. The heart rate monitoring system of the TWS headset according to claim 1, characterized in that: The monitoring module (2) is integrated with a photoelectric sensor, and the monitoring module (2) is subject to the following during the operation phase: Based on two consecutive operations at a predetermined frequency, the operating frequency coordination interval and the operating frequency adjustment ratio are set synchronously. When the user's heart rate information monitored for the first two times shows an upward trend, the operating frequency of the monitoring module (2) increases. When the user's heart rate information monitored for the first two times shows a downward trend, the operating frequency of the monitoring module decreases, that is: ； Where: The operating frequency of the monitoring module (2); presetting a frequency for the monitoring module (2); The user's heart rate currently monitored by the monitoring module (2); The user's heart rate last monitored by the monitoring module (2); Adjust the ratio for the operating frequency; in, After obtaining, further compare with the operating frequency coordination interval, When in the operating frequency coordination interval, The original value is taken 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, The minimum end value of the difference between the two end values ​​of the operating frequency coordination interval is taken as the operating frequency of the monitoring module (2).

6. The heart rate monitoring system of the TWS headset according to claim 1, characterized in that: After the monitoring module (2) monitors the user's heart rate information, it simultaneously creates a user heart rate record graph, the user heart rate record graph is in the form of 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; The monitoring module (2) starts and stops synchronously with the on / off operation of the headset. Before the monitoring module (2) stops running each time, the user's heart rate record graph generated in the monitoring module (2) is stored synchronously 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.

7. The heart rate monitoring system of the TWS headset according to claim 1, characterized in that: The user heart rate variability analysis logic in the analysis module (3) is expressed as: ； Where: is heart rate variability; The heart rate value sequence of 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; in, , is the average logarithmic ratio in M ​​dimension; 0.04~0.15Hz is the low-frequency band of the heart rate signal, and 0.15~0.4 is the high-frequency band of the heart rate signal.

8. The heart rate monitoring system of the TWS headset according to claim 7, characterized in that: Said The calculation logic is expressed as: ； Where: is the length of the heart rate sequence; is the logarithmic ratio of the vector that satisfies the conditions; Among them, the conditions are , is the similarity tolerance set; ； Where: Starting from the beginning of the sequence Heart rate value; Similarly; α is the starting position index in the sequence; Among them, the heart rate value sequence is recorded as , M is the embedding dimension.

9. The heart rate monitoring system of a TWS headset according to claim 1, characterized in that: The decision logic for whether the user status is safe in the decision module (4) is expressed as: ； Where: The amount of user's heart rate variability based on the current cumulative analysis of the time series; The user's heart rate variability obtained for the vth analysis; is the judgment threshold; in, Express If the above formula is established, it means that the user status is unsafe, otherwise it means it is safe.

10. The heart rate monitoring system of a TWS headset according to claim 1, characterized in that: The state assessment module (1) is internally connected to a prompt unit (11) via a wireless network, the state assessment module (1) is interactively connected to a monitoring module (2), an analysis module (3), a determination module (4) and an early warning module (5) via a wireless network, and the early warning module (5) is interactively connected to a management module (6) via a wireless network.

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