Health data processing method and terminal based on ear-worn wearable terminal

Abstract

This application provides a health data processing method and terminal based on an ear-worn wearable device, belonging to the field of health data technology. The method collects ear acupoint health data and the carbon monoxide concentration in the user's exhaled breath. Based on the health data, it determines psychological stress data. When a psychological stress parameter exceeding a psychological stress threshold is found, target control information corresponding to the psychological stress data is determined. When the number of stimulators controlled by the target control information exceeds a certain threshold, a reminder message is sent to the user, and ear acupoint stimulation is performed based on the target control information until the detected psychological stress data returns to normal. This solution acquires and analyzes various health data from the user's ear, provides visual analysis results to the user, and simultaneously uses sensors to generate pressure or electrical stimulation of ear acupoints based on the analysis results, cycling until the data returns to normal, thus providing beneficial regulation through health warnings and feedback stimulation.

Description

Technical Field

[0001] This application relates to the field of health data technology, and more specifically, to a health data processing method and terminal based on an ear-worn wearable terminal. Background Technology

[0002] Health data processing methods are a set of approaches used to manage and process users’ health data.

[0003] In one health data processing method, a user's health data, such as heart rate and body temperature, is acquired through a smartwatch. This data is then compared with preset reference values. When the user's health data exceeds the reference values, the user is alerted.

[0004] However, the above parameter comparison methods are rather simplistic.

[0005] Furthermore, current data processing methods struggle to achieve adaptive adjustments based on the acquired data, resulting in low intelligence and difficulty in providing effective reminders to users. Moreover, according to Traditional Chinese Medicine theory, data from corresponding acupoints on the ear can sensitively and promptly reflect the body's physical and mental health status.

[0006] It should be noted that the information disclosed in the background section above is only used to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0007] This application provides a health data processing method and terminal based on an ear-worn wearable terminal, which can solve the problem of the relatively simple parameter comparison methods in related technologies. The technical solution is as follows: According to one aspect of this application, a health data processing method based on an ear-worn terminal is provided, for a host of the ear-worn terminal, the ear-worn terminal further comprising a collection stimulation component connected to the host, the collection stimulation component comprising an ear clip, a mounting bracket connected to the ear clip, and a plurality of stimulators mounted on the mounting bracket corresponding to the positions of a plurality of ear acupoints on the outer ear, the ear clip comprising a health data sensor; The method includes: Health data is collected through the aforementioned health data sensor. This health data includes skin resistance, heart rate variability, skin temperature data, acceleration data, and the concentration of carbon monoxide in the user's exhaled breath. Regarding skin resistance: when the human body experiences pressure, a small amount of tissue fluid or sweat from the sweat glands deep within the skin is "squeezed" to the skin surface. Sweat contains salt (electrolytes), which is a good conductive medium and reduces skin resistance. Therefore, this skin resistance can be used as a parameter reflecting the user's stress level.

[0008] Heart rate variability (HRV) is a key physiological indicator for measuring the body's ability to cope with and recover from stress. When a person is under stress, the sympathetic nervous system is activated, leading to an increased heart rate and more regular, rigid heartbeat intervals, resulting in decreased HRV. When the body is relaxed and recovering, the parasympathetic nervous system becomes dominant. At this time, the heart responds more flexibly to internal and external changes, and the variability of the heartbeat intervals increases, resulting in increased HRV. Therefore, HRV can be used as a parameter for detecting user stress in this application.

[0009] Regarding skin temperature data: When a person feels tense or anxious, the sympathetic nervous system is activated. This causes blood vessels under the skin to constrict to reduce heat loss and prioritize blood supply to core organs such as the brain, heart, and muscles. Consequently, the local temperature of the auricle decreases. Conversely, the local temperature of the auricle may increase or remain unchanged. Thus, skin temperature can be used as a parameter for detecting user stress in this application.

[0010] Accelerometers are used to detect whether a user is in a static or agitated state. The acceleration data of a user in a static state is less than the pressure data of a user in an agitated state, and the pressure of a user in a static state is usually less than the pressure of a user in an agitated state. Therefore, the acceleration data can be used as another parameter to reflect the user's pressure.

[0011] A carbon monoxide sensor can detect the concentration of carbon monoxide in a user's exhaled breath, determining whether the user has recently smoked or been exposed to secondhand smoke. A carbon monoxide concentration exceeding a threshold indicates recent smoking, relapse in previously quitted smokers, or potential exposure to high levels of secondhand smoke. Psychological stress often leads to relapse; if exhaled carbon monoxide levels are higher than normal, the user may be experiencing significant psychological stress. Therefore, health data sensors can collect health data, improving the representativeness of the collected data and allowing it to more accurately reflect the user's negative emotions.

[0012] Psychological stress data is determined based on the health data. The psychological stress data includes a first psychological stress parameter that is positively correlated with the skin resistance, a second psychological stress parameter that is negatively correlated with the heart rate variability, a third psychological stress parameter that is negatively correlated with the temperature data, a fourth psychological stress parameter that is positively correlated with the acceleration data, and a fifth psychological stress parameter that is positively correlated with the carbon monoxide concentration. The first, second, third, fourth, and fifth psychological stress parameters are all normalized parameters ranging from 0 to 1. If no psychological stress parameter greater than the psychological stress threshold is found in the psychological stress data, the step of collecting health data through the health data sensor is repeated. When there is a psychological stress parameter in the psychological stress data that is greater than the psychological stress threshold, the target control information corresponding to the psychological stress data is determined based on the psychological stress data and a preset mapping relationship set. The mapping relationship set includes multiple preset psychological stress data and control information corresponding to each preset psychological stress data. When the number of stimulators controlled by the target control information exceeds a certain threshold, a reminder message is sent to the user through the host. The multiple stimulators are controlled based on the target control information, and the step of collecting health data through the health data sensor is re-executed.

[0013] Optionally, the ear clip is used to be clipped into the concha of the ear, and the mounting bracket includes multiple mounting slots. At least one of the multiple mounting slots is equipped with the stimulator. The positions of the multiple mounting slots correspond to the positions of multiple acupoints of the outer ear. The stimulator located in the mounting slot is used to stimulate the acupoint corresponding to the mounting slot by pressing and / or electrical stimulation. The acupoint is used to provide feedback on the body's physical and mental health status. The ear clip includes a main structure and a skin resistance sensor, an electrocardiogram sensor, a temperature sensor, an acceleration sensor, and a carbon monoxide sensor mounted on the main structure.

[0014] Optionally, psychological stress data is determined based on the health data, including: The skin resistance sensor acquires multiple detected skin resistance values ​​of the user in the 24 hours prior to the current moment. Obtain the first average value of the plurality of detected skin resistance values; Remove skin resistance values ​​from the plurality of detected skin resistance values ​​whose difference from the first average value is greater than or equal to 50% of the first average value; Obtain the second average value of the remaining detected skin resistance values, and the target difference between the largest detected skin resistance value and the second average value among the plurality of detected skin resistance values; The skin resistance value of the user at the current moment is obtained through the skin resistance sensor; Obtain the absolute value of the difference between the current skin resistance value and the second average value; The ratio of the absolute value to the target difference is determined as the first psychological stress parameter.

[0015] Optionally, determining the target control information corresponding to the psychological stress data based on the psychological stress data and a preset mapping relationship set includes: Obtain the target similarity between the psychological stress data and each preset psychological stress data in the mapping relationship set. Each target similarity includes the sum of a first similarity, a second similarity, a third similarity, and a fourth similarity. The first similarity is the similarity between a first psychological stress parameter in the psychological stress data and a first psychological stress parameter in the preset psychological stress data. The second similarity is the similarity between a second psychological stress parameter in the psychological stress data and a second psychological stress parameter in the preset psychological stress data. The third similarity is the similarity between a third psychological stress parameter in the psychological stress data and a third psychological stress parameter in the preset psychological stress data. The fourth similarity is the similarity between a fourth psychological stress parameter in the psychological stress data and a fourth psychological stress parameter in the preset psychological stress data. The preset psychological stress data that has the highest similarity to the target psychological stress data is determined as the target psychological stress data; The control information corresponding to the target psychological stress data is determined as the target control information.

[0016] Optionally, sending a reminder message to the user via the host includes: A communication connection is established between the host and the user terminal; The host computer sends a reminder message to the user terminal via the communication connection.

[0017] Optionally, after sending the reminder information to the user terminal via the host through the communication connection, the method further includes: Send the stimulator control interface to the user terminal; The user's adjustment parameters are obtained through the stimulator control interface; The target control information is adjusted based on the adjustment parameters.

[0018] Optionally, the step of collecting health data through the health data sensor includes: The concentration of carbon monoxide in the user's exhaled breath is detected by the carbon monoxide sensor. When the concentration of carbon monoxide is greater than the carbon monoxide threshold, health data is collected by the health data sensor.

[0019] Optionally, the stimulator includes a pressure stimulation unit and electrodes, wherein the pressure stimulation unit includes at least one of a piezoelectric ceramic actuator and a microelectromechanical system micro-needle array.

[0020] Optionally, the host includes a control module, a waveform generation circuit, and a power amplification circuit. The waveform generation circuit is electrically connected to the control module and the power amplification circuit, respectively, and the power amplification circuit is electrically connected to the plurality of stimulators. The control module is used to control the waveform generation circuit to generate an electrical signal having at least one waveform selected from continuous square wave, sparse and dense wave, and discontinuous wave. The power amplifier circuit is used to amplify the electrical signal and transmit it to the pressure stimulation unit to control the pressure stimulation unit.

[0021] According to another aspect of this application, a wearable terminal is provided, the terminal comprising: processor; Memory for storing the executable instructions of the processor; The processor is configured to execute the health data processing method based on an ear-worn wearable terminal as described in the first aspect by executing the executable instructions.

[0022] The beneficial effects of the technical solutions provided in this application include at least the following: A health data processing method based on a wearable terminal is provided. This method collects health data through a health data sensor and determines psychological stress data based on this data. When any one of the following psychological stress parameters exceeds a psychological stress threshold: a first psychological stress parameter positively correlated with skin resistance, a second psychological stress parameter negatively correlated with heart rate variability, a third psychological stress parameter negatively correlated with temperature data, a fourth psychological stress parameter positively correlated with acceleration data, and a fifth psychological stress parameter positively correlated with the concentration of carbon monoxide in the user's exhaled breath, the method determines target control information corresponding to the psychological stress data based on the psychological stress data and a preset mapping relationship set. When the number of stimulators controlled by the target control information exceeds a certain threshold, a reminder message is sent to the user through the host computer. Based on the target control information, multiple stimulators on the wearable terminal are controlled to stimulate multiple acupoints on the outer ear. The process of collecting health data through the health data sensor is then repeated to achieve closed-loop feedback and adaptive adjustment. This solution acquires various types of user health data, processes and analyzes this data, and reminds the user based on the analysis results, achieving the beneficial effect of improving the comprehensiveness and accuracy of user health data parameter processing. Furthermore, it enhances the intelligence of the method, improving the effectiveness of user reminders.

[0023] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0024] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure. It is obvious that the drawings described below are merely some embodiments of this disclosure, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort.

[0025] Figure 1 This is a schematic diagram of the structure of an ear-worn wearable terminal provided in an embodiment of this application.

[0026] Figure 2 This is a flowchart illustrating a health data processing method based on a wearable terminal, as shown in an embodiment of this application.

[0027] Figure 3 A flowchart illustrating a method for constructing a target neural network model, as provided in an embodiment of this application.

[0028] Figure 4 A flowchart illustrating another health data processing method based on a wearable terminal provided in this application embodiment.

[0029] Figure 5 This is a flowchart illustrating a method for determining psychological stress data in a health data processing method based on a wearable terminal, as provided in an embodiment of this application. Detailed Implementation

[0030] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0031] Figure 1 A schematic diagram of the structure of a wearable terminal provided in this application embodiment ( Figure 1The right view of the stimulation acquisition component is also shown. The wearable terminal includes a host 11 and a stimulation acquisition component 12 connected to the host 11. The stimulation acquisition component 12 includes an ear clip 121, a mounting bracket 122 connected to the ear clip 121, and multiple stimulators 123 mounted on the mounting bracket 122 corresponding to the positions of multiple ear acupoints 211 on the outer ear 21. The ear clip 121 includes a health data sensor. The host 11 can be a small handheld device, for example, it can be a handheld device the size of an MP3 player, or it can be in the style of a Bluetooth headset shell, so that it is convenient for users to carry. The host 11 can integrate a user interface 111, a charging / data interface, and a miniature carbon monoxide sensor. The user interface 111 includes a simple LCD screen or LED indicator light, and several function buttons, for example, including a power switch, mode selection, intensity increase and decrease buttons, etc. The carbon monoxide sensor is used to allow users to periodically detect the concentration in their exhaled breath. The charging / data interface is used to charge the built-in battery or to synchronize data with a host computer (such as a mobile APP).

[0032] like Figure 1 As shown, after wearing the stimulation acquisition component 12, the ear clip 121 is located on the outer ear 21, and multiple stimulators 123 are located one-to-one on multiple ear acupoints 211 and in contact with them. According to traditional Chinese medicine theory, these multiple ear acupoints 211 can sensitively and promptly provide feedback on the user's physical and mental health status. For example, these multiple ear acupoints 211 may include ear acupoints such as "Shenmen", "Endocrine", "Lung", "Stomach", and "Mouth".

[0033] In one exemplary embodiment, the ear clip 121 is used to clip into the concha of the ear. The mounting bracket 122 includes multiple mounting slots, at least one of which houses a stimulator 123. The positions of the multiple mounting slots correspond to the positions of multiple auricular points 211 on the outer ear 21. The stimulator 123 located in the mounting slot is used to stimulate the auricular point 211 corresponding to its mounting slot through pressure stimulation and / or electrical stimulation. The user does not need to manually locate the corresponding position of the auricular point 211 and the ear clip 121; simply clipping the ear clip 121 into the ear ensures that the stimulator 123 corresponds to the auricular point 211, thereby improving the accuracy of data acquisition. Figure 1 Not all stimulators 123 are shown. The position and number of stimulators 123 correspond to the position and number of ear acupoints 211 on the outer ear 21. Stimulators 123 may also be set only at individual ear acupoints 211. This embodiment of the application does not limit this.

[0034] Additionally, the stimulation acquisition component 12 can be as follows: Figure 1The earphones shown have a full-coverage structure, in which the ear clip 121 is available in a variety of sizes to accommodate different sizes of human ears. For example, the ear clip 121 may include at least three sizes: large, medium, and small, to accommodate different sizes of human ears.

[0035] The earpiece connector 121 includes a main structure and a skin resistance sensor, an electrocardiogram sensor, a temperature sensor, an accelerometer, and a carbon monoxide sensor mounted on the main structure. The skin resistance sensor not only detects whether the device is making good contact, but also monitors changes in skin resistance. When the human body feels pressure, a small amount of tissue fluid or sweat from the sweat glands deep within the skin is "squeezed" to the skin surface. Sweat contains salt (electrolytes), making it a good conductive medium. Therefore, increased pressure reduces skin resistance.

[0036] An electrocardiogram (ECG) sensor constitutes an ECG monitoring module used to monitor heart rate variability (HRV) via microelectrodes. HRV is a key physiological indicator measuring the body's ability to cope with and recover from stress. When a person is under stress, the sympathetic nervous system is activated, leading to an increased heart rate and more regular, rigid heartbeat intervals, resulting in decreased HRV. When the body is relaxed and recovering, the parasympathetic nervous system becomes dominant. At this time, the heart responds more flexibly to internal and external changes, and the variability of heartbeat intervals increases, resulting in increased HRV. Therefore, HRV can be used as a parameter for detecting user stress in this application.

[0037] A temperature sensor is used to monitor changes in local temperature of the auricle. When a person feels tense or anxious, the sympathetic nervous system is activated. This causes blood vessels under the skin to constrict to reduce heat loss and prioritize blood supply to core organs such as the brain, heart, and muscles, thereby lowering the local temperature of the auricle. Conversely, the local temperature of the auricle may rise or remain unchanged. Thus, changes in local temperature of the auricle can be used as a parameter for detecting user stress, as described in this application.

[0038] Accelerometers are used to detect whether a user is in a static or agitated state. The acceleration data of a user in a static state is less than the pressure data of a user in an agitated state, and the pressure of a user in a static state is usually less than the pressure of a user in an agitated state. Therefore, the acceleration data can be used as a parameter to reflect the user's pressure, thereby obtaining user state data from multiple aspects and making the subsequent analysis results more comprehensive.

[0039] A carbon monoxide sensor can detect the concentration of carbon monoxide in a user's exhaled breath. When a user exhales into the sensor, the concentration of carbon monoxide in the breath can be detected, and this concentration can be used to determine whether the user has recently smoked or been exposed to secondhand smoke.

[0040] In one exemplary embodiment, the stimulator 123 includes a pressure stimulation unit and electrodes. The pressure stimulation unit includes at least one of a piezoelectric ceramic actuator and a microelectromechanical system (MEMS) microneedle array. The pressure stimulation unit generates a biomimetic thumb-pressing sensation, prompting local capillary dilation and reducing skin resistance.

[0041] In one exemplary embodiment, the host 11 includes a control module, a waveform generation circuit, and a power amplification circuit. The waveform generation circuit is electrically connected to the control module and the power amplification circuit, respectively. The power amplification circuit is electrically connected to a plurality of stimulators. The control module is used to control the waveform generation circuit to generate an electrical signal having at least one waveform selected from continuous square wave, sparse-dense wave, and discontinuous wave. The power amplification circuit is used to amplify the electrical signal and transmit it to the pressure stimulation unit to control the pressure stimulation unit.

[0042] In one exemplary embodiment, the host also integrates a Bluetooth / Wi-Fi communication module for a stable connection with a smartphone app. Users can input their relevant data and goals through the app, record data, track changes, and generate reports; enabling users to track their health data in real time and improving the user experience.

[0043] In one exemplary embodiment, the mounting bracket 122 is provided with multiple magnetic mounting seats corresponding to the positions of each ear acupoint 211. Each magnetic mounting seat has a first magnetic element and an annular conductive contact embedded therein. The bottom of the stimulator 123 is provided with a second magnetic element and elastic conductive pins. The stimulator 123 is detachably fixed in the magnetic mounting seat by the magnetic attraction between the first and second magnetic elements, while the elastic conductive pins elastically abut against the annular conductive contact to achieve electrical connection. The user can manually remove any stimulator 123 and reattach it to another magnetic mounting seat according to their own needs, or retain only some stimulators 123 to selectively stimulate or detect specific ear acupoints 211. The opening edge of the magnetic mounting seat is provided with a guide chamfer to facilitate the automatic centering and adsorption of the stimulator 123.

[0044] In this embodiment, the mounting bracket 122 is integrally molded from silicone material, with a soft, curved surface facing the auricle 21 and a thickness of 0.8 mm to 1.5 mm to improve comfort during prolonged wear. To accommodate the magnetic mounting bases, a rigid plastic frame is embedded within the silicone body of the mounting bracket 122. Multiple magnetic mounting bases are fixed to this rigid frame and protrude through the silicone layer onto the back of the mounting bracket 122. A thin silicone film covers the opening of each magnetic mounting base, with a cross-shaped cutout on the film. The second magnetic element and elastic conductive pins at the bottom of the stimulator 123 pass through the cross-shaped cutout and engage with the internal annular conductive contacts. Simultaneously, the silicone film elastically contracts to wrap around the base of the stimulator 123, providing dust and water protection. When the user removes the stimulator 123 from the magnetic mounting base, the silicone film automatically closes to prevent contamination.

[0045] In one exemplary embodiment, the stimulator 123 includes a cylindrical housing with a pair of elastic hooks on its outer circumference. The mounting bracket 122 has multiple through-holes corresponding to the positions of each ear acupoint 211, and the inner wall of each hole has an annular groove that engages with the elastic hooks. The stimulator 123 is detachably locked in place by passing the elastic hooks through the holes and engaging them in the annular grooves. The user can remove the stimulator 123 from the front or back of the mounting bracket 122 by pressing the elastic hooks. The mounting bracket 122 also has multiple spare hooks, the positions of which are offset from the standard ear acupoint 211 positions by a preset distance, allowing the user to fine-tune the installation position of the stimulator 123 according to individual auricular differences.

[0046] In this embodiment, the mounting bracket 122 is integrally molded using a two-color injection molding process. The inner layer of the mounting bracket 122 facing the auricle 21 is a liquid silicone layer with a thickness of 0.5 mm to 1.0 mm, which directly contacts the auricle 21. The outer layer of the mounting bracket 122 facing away from the auricle 21 is a thermoplastic layer, on which the snap-fit ​​hole and the annular slot are located. The liquid silicone layer has a clearance through hole at the position corresponding to the snap-fit ​​hole. The elastic hook of the stimulator 123 passes through the clearance through hole of the liquid silicone layer and the snap-fit ​​hole of the outer layer in sequence and then snaps into the annular slot. The surface of the liquid silicone layer also has multiple micro-convex anti-slip textures to increase wearing stability. When the user presses the elastic hook to remove the stimulator 123, the liquid silicone layer returns to its original shape as it is deformed, without causing permanent dents.

[0047] In summary, this application provides a wearable terminal for a health data processing method based on the wearable terminal. This method collects health data through a health data sensor, determines psychological stress data based on the health data, and when any one of the following parameters—a first psychological stress parameter positively correlated with skin resistance, a second psychological stress parameter negatively correlated with heart rate variability, a third psychological stress parameter negatively correlated with temperature data, a fourth psychological stress parameter positively correlated with acceleration data, and a fifth psychological stress parameter positively correlated with the concentration of carbon monoxide in the user's exhaled breath—exceeds a psychological stress threshold, target control information corresponding to the psychological stress data is determined based on the psychological stress data and a preset mapping relationship set. When the number of stimulators controlled by the target control information exceeds a certain threshold, a reminder message is sent to the user through the host, and multiple stimulators on the wearable terminal are controlled to stimulate multiple acupoints on the outer ear based on the target control information. The process of collecting health data through the health data sensor is then repeated to achieve closed-loop feedback and adaptive adjustment. This solution acquires various types of user health data, processes and analyzes this data, and reminds the user based on the analysis results, achieving the beneficial effect of improving the comprehensiveness and accuracy of user health data parameter processing. In addition, the intelligence of the method has been improved, which can enhance the effectiveness of reminders to users.

[0048] The mapping relationship set includes multiple preset psychological stress data and control information corresponding to each preset psychological stress data. In an exemplary embodiment, the stimulator and the acupoint can have a one-to-one correspondence. After the ear wearable terminal collects initial health data and determines the initial psychological stress data based on the initial health data, it can determine the initial target control information corresponding to the initial psychological stress data based on the mapping relationship set. Based on the initial target control information, it can control one or more corresponding stimulators to stimulate the corresponding acupoints. The initial target control information can include initial control parameters of multiple stimulators, such as pressure and current magnitude. Then, the user's updated health data can be collected again, and the corresponding updated psychological stress data can be obtained. The updated psychological stress data can then be compared with the initial psychological stress data. If the updated psychological stress data is less than the initial psychological stress data (the sum of multiple psychological stress parameters in the psychological stress data can be used as the psychological stress data value), and the difference is greater than or equal to the adjustment threshold, it indicates that the stimulation of the auricular acupoints is effective. If the updated psychological stress data is less than the initial psychological stress data, but the difference is less than the adjustment threshold, or if the updated psychological stress data is greater than or equal to the initial psychological stress data, it indicates that the stimulation of the auricular acupoints is ineffective or has no effect. In this case, the initial target control information corresponding to the initial psychological stress data in the above mapping relationship set can be adjusted. For example, the auricular acupoints stimulated by the stimulator can be changed, and the pressure and current of the stimulator can be adjusted. Health data can then be collected again through the health data sensor, thus realizing a cyclical fine-tuning control method.

[0049] Furthermore, a corresponding adjustment model can be established based on the aforementioned cyclic fine-tuning pattern, and a corresponding training adjustment sample set can be obtained. This training adjustment sample set includes multiple adjustment samples, each of which may include control information for controlling the stimulator, and the user's psychological stress data after stimulation by the stimulator controlled by the control information. The training samples can be continuously acquired through the aforementioned cyclic fine-tuning process as the user uses the device, meaning that the training sample set is a continuously updated set. Thus, the adjustment model can be continuously trained using this training sample set. Based on this, the adjustment model can continuously personalize the device for each user, enabling the method provided in this application embodiment and the ear wearable terminal using this method to provide users with more accurate and personalized stimulation and reminders, thereby achieving the technical effect of improving user experience.

[0050] Figure 1 The ear-worn wearable terminal shown is used to implement the following health data processing method based on the ear-worn wearable terminal. The following will refer to this... Figure 1 The wearable ear terminal shown illustrates various embodiments of the method in detail.

[0051] Figure 2 This is a flowchart illustrating a health data processing method based on an ear-worn wearable terminal, as shown in an embodiment of this application. Figure 2 As shown, the method may include the following steps: Step 201: Collect health data through health data sensors. The health data includes skin resistance, heart rate variability, skin temperature data, acceleration data, and the concentration of carbon monoxide in the user's exhaled breath.

[0052] Step 202: Determine psychological stress data based on health data. The psychological stress data includes a first psychological stress parameter that is positively correlated with skin resistance, a second psychological stress parameter that is negatively correlated with heart rate variability, a third psychological stress parameter that is negatively correlated with temperature data, a fourth psychological stress parameter that is positively correlated with acceleration data, and a fifth psychological stress parameter that is positively correlated with carbon monoxide concentration.

[0053] Among them, the first psychological stress parameter, the second psychological stress parameter, the third psychological stress parameter, the fourth psychological stress parameter, and the fifth psychological stress parameter are all normalized parameters ranging from 0 to 1.

[0054] Step 203: Determine if there is a psychological stress parameter in the psychological stress data that is greater than the psychological stress threshold. If there is no psychological stress parameter in the psychological stress data that is greater than the psychological stress threshold, repeat step 201. If there is a psychological stress parameter in the psychological stress data that is greater than the psychological stress threshold, proceed to step 204.

[0055] Step 204: Based on the psychological stress data and a preset mapping relationship set, determine the target control information corresponding to the psychological stress data. The mapping relationship set includes multiple preset psychological stress data and the control information corresponding to each preset psychological stress data. After step 204, steps 205 and 206 can be executed.

[0056] Step 205: When the number of stimulators controlled by the target control information exceeds the number threshold, a reminder message is sent to the user through the host.

[0057] Step 206: Based on the target control information, control multiple stimulators. The stimulators are used to stimulate corresponding acupoints through pressure stimulation and / or electrical stimulation. These acupoints are used to provide feedback on the body's physical and mental health status. Repeat step 201.

[0058] In summary, this application provides a health data processing method based on a wearable terminal. This method collects health data through a health data sensor, determines psychological stress data based on the health data, and when any one of the following parameters—a first psychological stress parameter positively correlated with skin resistance, a second psychological stress parameter negatively correlated with heart rate variability, a third psychological stress parameter negatively correlated with temperature data, a fourth psychological stress parameter positively correlated with acceleration data, and a fifth psychological stress parameter positively correlated with the concentration of carbon monoxide in the user's exhaled breath—exceeds a psychological stress threshold, target control information corresponding to the psychological stress data is determined based on the psychological stress data and a preset mapping relationship set. When the number of stimulators controlled by the target control information exceeds a certain threshold, a reminder message is sent to the user through the host, and multiple stimulators on the wearable terminal are controlled to stimulate multiple acupoints on the outer ear based on the target control information. The process of collecting health data through the health data sensor is then repeated to achieve closed-loop feedback and adaptive adjustment. This solution acquires various types of user health data, processes and analyzes this data, and reminds the user based on the analysis results, achieving the beneficial effect of improving the comprehensiveness and accuracy of user health data parameter processing. In addition, the intelligence of the method has been improved, which can enhance the effectiveness of reminders to users.

[0059] Among them, psychological stress data can be determined based on health data using a target neural network model. This target neural network model is not a general pre-set model, but a personalized model trained based on each user's individual physiological data. Figure 3 The flowchart of a method for constructing a target neural network model provided in this application embodiment includes a separate and crucial preparation stage. This stage aims to collect paired samples of physiological data and subjective feelings from users in a calm, baseline state, and combine them with... Figure 3 The method also includes the following steps: Step 301: During the preset time period, the user's health data is collected through the health data sensor at specified intervals.

[0060] The preset time period can be selected during a time when the user's physiological state is relatively stable, such as after waking up in the morning or before going to bed, in order to avoid interference from intense emotions or activities as much as possible. During this time period, at specified intervals, the user's raw health data, such as skin resistance, heart rate variability, skin temperature data, acceleration data, and carbon monoxide concentration in the user's exhaled breath, are collected through the skin resistance sensor, electrocardiogram sensor, temperature sensor, acceleration sensor, and carbon monoxide sensor on the ear clip.

[0061] This method allows for the collection of multiple health data points from users within a preset time period. For example, the preset time period can be 7 days, and the number of health data points can be 14, meaning two health data points can be collected each day.

[0062] Step 302: Determine if there is any data in the health data that exceeds the preset upper limit. If there is data in the health data that exceeds the preset upper limit, repeat the step of collecting the user's health data through the health data sensor.

[0063] If any parameter exceeds the preset upper limit, it indicates that the user may not be in a calm state at the moment, and the current data is not suitable as training data; data collection should be performed again. The preset upper limit for each health data point can be set by the user or preset at the factory based on empirical values.

[0064] Step 303: When there is no data in the health data that exceeds the preset upper limit, the pressure calibration interface is displayed to the user through the host.

[0065] Among them, health data exceeding the preset upper limit may be health data that appears due to some unexpected situations. This health data may interfere with the health data of the period when the user's physiological state is relatively stable, which is to be obtained by the method provided in this application embodiment. Therefore, when there is no psychological stress parameter exceeding the preset upper limit in the health data, the stress calibration interface can be displayed to the user through the host to remove health data including psychological stress parameters exceeding the preset upper limit. This can improve the accuracy of the method provided in this application embodiment.

[0066] In addition, the pressure calibration interface can be wirelessly pushed to the user's smartphone APP, and the user can select a value representing their current pressure (such as 0 to 10 points) through operation.

[0067] Step 304: Obtain the psychological stress parameters calibrated by the user through the stress calibration interface.

[0068] Users can calibrate the psychological stress parameters corresponding to each data point in the stress calibration interface, including skin resistance, heart rate variability, skin temperature, acceleration, and the concentration of carbon monoxide in the user's exhaled breath. In one exemplary embodiment, the user can calibrate the pressure level, for example, the pressure level includes low, medium and high. When the user calibrates the pressure level to low, the host can calibrate the psychological pressure parameter corresponding to each data point in the first numerical range based on a preset correspondence, including skin resistance, heart rate variability, skin temperature data, acceleration data and the concentration of carbon monoxide in the user's exhaled breath. When the user calibrates the pressure level to medium, the host can calibrate the psychological pressure parameter corresponding to each data point in the second numerical range based on a preset correspondence. And when the user calibrates the pressure level to high, the host can calibrate the psychological pressure parameter corresponding to each data point in the third numerical range based on a preset correspondence. The first numerical range is smaller than the second numerical range, and the second numerical range is smaller than the third numerical range.

[0069] Step 305: Select the user-calibrated psychological stress parameters and the user's health data as a training sample in the training sample set.

[0070] In this way, multiple training samples can be obtained within a preset time period. For example, the preset time period can be 7 days, and the number of training samples can be 14. That is, two health data points are collected every day, and two psychological stress parameters are obtained based on the user's calibration, and 14 training samples are obtained based on these parameters.

[0071] In this process, after each acquisition of health data, a training sample can be obtained through steps 303 to 305.

[0072] Step 306: Construct the initial neural network model.

[0073] The initial neural network model can be an untrained neural network model. For example, the initial neural network model can be a convolutional neural network model, a recurrent neural network model, etc., and this application embodiment does not limit this.

[0074] Step 307: Train the initial neural network model based on the training sample set to obtain the target neural network model.

[0075] By training an initial neural network model with a personalized training sample set, the model can learn to predict complex mapping relationships of a user's subjective psychological stress parameters from complex multimodal physiological data. This allows the generation of a target neural network model specifically tailored to that user.

[0076] Once the initial neural network model meets the preset conditions, it can be considered to have completed training and can be considered the target neural network model. These preset conditions may include at least one of the following: loss function convergence, accuracy reaching 90%, and training iterations reaching 200.

[0077] Then, health data can be input into the target neural network to obtain corresponding psychological stress data.

[0078] Figure 4 This application provides a flowchart of another health data processing method based on a wearable terminal, which can be applied to... Figure 1 For the wearable devices shown, please refer to... Figure 4 This method may include the following steps: Step 401: Detect the concentration of carbon monoxide in the user's exhaled gas using a carbon monoxide sensor.

[0079] The carbon monoxide sensor may include at least one of the following: an electrochemical carbon monoxide sensor, a metal oxide semiconductor carbon monoxide sensor, and an infrared carbon monoxide sensor. The carbon monoxide sensor is installed on the main unit. Users can remove the carbon monoxide sensor from the main unit and blow air into the detection port on the sensor; the sensor can then detect the concentration of carbon monoxide in the user's exhaled air.

[0080] Step 402: When the carbon monoxide concentration is greater than the carbon monoxide threshold, health data is collected through a health data sensor. The health data includes skin resistance, heart rate variability, skin temperature data, acceleration data, and the concentration of carbon monoxide in the user's exhaled breath.

[0081] A carbon monoxide sensor can detect the concentration of carbon monoxide in a user's exhaled breath, determining whether the user has recently smoked or been exposed to secondhand smoke. A carbon monoxide concentration exceeding a threshold indicates recent smoking, relapse in previously quitted smokers, or potential exposure to high levels of secondhand smoke. Psychological stress often leads to relapse; if exhaled carbon monoxide levels are higher than normal, the user may be experiencing significant psychological stress. Therefore, health data sensors can collect health data, improving the representativeness of the collected data and allowing it to more accurately reflect the user's negative emotions.

[0082] Step 403: Determine psychological stress data based on health data. The psychological stress data includes a first psychological stress parameter that is positively correlated with skin resistance, a second psychological stress parameter that is negatively correlated with heart rate variability, a third psychological stress parameter that is negatively correlated with temperature data, a fourth psychological stress parameter that is positively correlated with acceleration data, and a fifth psychological stress parameter that is positively correlated with carbon monoxide concentration.

[0083] Among them, the first psychological stress parameter, the second psychological stress parameter, the third psychological stress parameter, the fourth psychological stress parameter, and the fifth psychological stress parameter are all normalized parameters ranging from 0 to 1.

[0084] Figure 5 This is a flowchart of a method for determining psychological stress data in a health data processing method based on a wearable terminal provided in an embodiment of this application. Step 403 of the method for determining psychological stress data based on health data further includes the following steps: Step 4031: Obtain multiple detected skin resistance values ​​of the user in the 24 hours prior to the current moment using a skin resistance sensor.

[0085] A 24-hour period typically covers a user's sleep-wake cycle, thus capturing the natural fluctuation range of the user's skin resistance under normal daily rhythms, providing sufficient data samples for establishing a statistical model that reflects their individual routine. Of course, multiple skin resistance values ​​can be detected within 48 hours or 12 hours, and this application embodiment does not limit this.

[0086] Step 4032: Obtain the first average value of multiple detected skin resistance values.

[0087] Step 4033: Remove skin resistance values ​​from the multiple detected skin resistance values ​​whose difference from the first average value is greater than or equal to 50% of the average value.

[0088] Large discrepancies between the removed outliers and the average value may stem from non-physiological transient interference, such as sudden changes in contact resistance between the sensor and skin due to sweat or momentary displacement, or accidental violent movements by the user. Removing these incidental data points that do not represent the true physiological state significantly improves the stability and reliability of the constructed data.

[0089] Step 4034: Obtain the second average value of the remaining detected skin resistance values, and the target difference between the largest detected skin resistance value and the second average value among the multiple detected skin resistance values.

[0090] The second average value can be used to obtain the average skin resistance value after removing outliers, which serves as the user's personal baseline data. Then, the target difference between the largest detected skin resistance value and the second average value is calculated from the 24-hour data. This allows us to obtain the largest and most reasonable detected skin resistance value that the user's skin resistance has ever reached relative to their personal baseline.

[0091] Step 4035: Obtain the user's current skin resistance value using a skin resistance sensor.

[0092] Step 4036: Obtain the absolute value of the difference between the current skin resistance value and the second average value.

[0093] Calculate the absolute deviation of real-time data from an individual's baseline.

[0094] Step 4037: Determine the ratio of the absolute value to the target difference as the first psychological stress parameter.

[0095] In other words, the absolute deviation obtained in step 4036 is divided by the target difference determined in step 4034 to obtain a ratio. This ratio is a standardized indicator that reflects the relative tension or arousal level relative to an individual's own historical fluctuation range. Since both the benchmark and the scale are personalized, this parameter is more sensitive to the user's subtle physiological changes and can more accurately capture their abnormal tension state.

[0096] Step 404: Determine if there is a psychological stress parameter in the psychological stress data that is greater than the psychological stress threshold. If there is no psychological stress parameter in the psychological stress data that is greater than the psychological stress threshold, repeat step 401. If there is a psychological stress parameter in the psychological stress data that is greater than the psychological stress threshold, proceed to step 405.

[0097] When psychological stress parameters exceed the psychological stress threshold in the psychological stress data, a reminder message is sent to the user's terminal, enabling the user to pay attention to their own status in a timely manner, thereby improving the user's sense of participation and timeliness in health management.

[0098] Step 405: Based on the psychological stress data and a preset mapping relationship set, determine the target control information corresponding to the psychological stress data. After step 405, execute steps 406 and 407.

[0099] The mapping relationship set includes multiple preset psychological stress data points and corresponding control information for each preset psychological stress data point. This mapping relationship set can be obtained through pre-conducted experiments.

[0100] In one exemplary embodiment, step 405 may include: 1) Obtain the target similarity of each preset psychological stress data in the set of psychological stress data and mapping relationship. Each target similarity includes the sum of the first similarity, the second similarity, the third similarity and the fourth similarity. The first similarity is the similarity between the first psychological stress parameter in the psychological stress data and the first psychological stress parameter in the preset psychological stress data. The second similarity is the similarity between the second psychological stress parameter in the psychological stress data and the second psychological stress parameter in the preset psychological stress data. The third similarity is the similarity between the third psychological stress parameter in the psychological stress data and the third psychological stress parameter in the preset psychological stress data. The fourth similarity is the similarity between the fourth psychological stress parameter in the psychological stress data and the fourth psychological stress parameter in the preset psychological stress data. 2) The preset psychological stress data with the highest similarity to the target psychological stress data is determined as the target psychological stress data; 3) The control information corresponding to the target psychological stress data is determined as the target control information.

[0101] The target control information may include control parameters of one or more stimulators, which may include parameters such as selection of pressure stimulation, electrical stimulation or a combination mode, specific waveform (e.g., selection of sparse and dense waves for anti-fatigue adjustment), frequency, intensity and duration.

[0102] Step 406: Based on the target control information, control multiple stimulators to stimulate the acupoints corresponding to their respective mounting slots through pressure stimulation and / or electrical stimulation; the acupoints are used to provide feedback on the body's physical and mental health status. Repeat step 401.

[0103] Based on the received target control information, the host precisely drives the waveform generation circuit and power amplification circuit to control the designated stimulator to perform personalized intervention on the corresponding acupoints on the user's ear. After the intervention is completed, the process immediately jumps back to step 401, enabling real-time and precise adjustment of the user's physiological fluctuations and feeding back the effect of each intervention to the next round of monitoring, further improving the accuracy of user health data parameter processing.

[0104] Step 407: When the number of stimulators controlled by the target control information exceeds the number threshold, a reminder message is sent to the user through the host.

[0105] When the target control information indicates that the number of stimulators being controlled exceeds a certain threshold, it indicates that the user's current stress level is too high. In this case, a reminder message can be sent to the user via the host. If the target control information indicates that the number of stimulators being controlled is not greater than the threshold, this step can be skipped. The threshold can be a preset value; for example, if the total number of stimulators is 10, the threshold can be 5. Alternatively, the threshold can be 50% of the total number of stimulators, allowing for dynamic adjustment of the threshold.

[0106] In one exemplary embodiment, the step may include: 1) Establish a communication connection between the host and the user terminal; 2) The host computer sends alert messages to the user terminal via a communication connection. This allows for timely notification to the user, enabling them to adjust their stress levels promptly. The alert message may include data on skin resistance, heart rate variability, skin temperature, acceleration, and the concentration of carbon monoxide in the user's exhaled breath, allowing the user to understand their condition and make appropriate self-regulation.

[0107] In addition, this application may include the following steps at the same time as or after sending the reminder: 3) Send the stimulator control interface to the user terminal; 4) Obtain the user's adjustment parameters through the stimulator control interface; 5) Adjust the target control information based on the adjustment parameters. For example, parameters such as the intensity and frequency of stimulator pressure stimulation, the voltage and frequency of electrical stimulation, and the number of stimulators used can be adjusted, thus achieving the effect of cyclic adjustment of control information.

[0108] In summary, this application provides a health data processing method based on a wearable terminal. It collects health data through a health data sensor, determines psychological stress data based on this health data, and when any one of the following parameters—a first psychological stress parameter positively correlated with skin resistance, a second psychological stress parameter negatively correlated with heart rate variability, a third psychological stress parameter negatively correlated with temperature data, a fourth psychological stress parameter positively correlated with acceleration data, and a fifth psychological stress parameter positively correlated with the concentration of carbon monoxide in the user's exhaled breath—exceeds a psychological stress threshold, target control information corresponding to the psychological stress data is determined based on the psychological stress data and a preset mapping relationship set. When the number of stimulators controlled by the target control information exceeds a certain threshold, a reminder message is sent to the user through the host, and multiple stimulators on the wearable terminal are controlled to stimulate multiple acupoints on the outer ear based on the target control information. The process of collecting health data through the health data sensor is then repeated to achieve closed-loop feedback and adaptive adjustment. This solution acquires various types of user health data, processes and analyzes this data, and reminds the user based on the analysis results, achieving the beneficial effect of improving the comprehensiveness and accuracy of user health data parameter processing. In addition, the intelligence of the method has been improved, which can enhance the effectiveness of reminders to users.

[0109] Furthermore, this application embodiment also provides an ear-wearable terminal, which includes: processor; Memory is used to store the processor's executable instructions; The processor is configured to execute any of the health data processing methods based on an ear-worn wearable terminal provided in the above embodiments by executing executable instructions.

[0110] In this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0111] In this application, the term "at least one of A and B" merely describes the relationship between related objects, indicating that three relationships can exist. For example, "at least one of A and B" can represent: A existing alone, A and B existing simultaneously, and B existing alone. Similarly, "at least one of A, B, and C" indicates that seven relationships can exist, representing: A existing alone, B existing alone, C existing alone, A and B existing simultaneously, A and C existing simultaneously, C and B existing simultaneously, and A, B, and C existing simultaneously. Likewise, "at least one of A, B, C, and D" indicates that fifteen relationships can exist, representing: A existing alone, B existing alone, C existing alone, D existing alone, A and B existing simultaneously, A and C existing simultaneously, A and D existing simultaneously, C and B existing simultaneously, D and B existing simultaneously, C and D existing simultaneously, A, B, and C existing simultaneously, A, B, and D existing simultaneously, A, C, and D existing simultaneously, and A, B, C, and D existing simultaneously.

[0112] In this application, the terms "first," "second," "third," and "fourth" are used for descriptive purposes only and should not be construed as indicating or implying relative importance. The term "multiple" means two or more, unless otherwise expressly defined.

[0113] The above description is merely an optional embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A health data processing method based on an ear-worn wearable terminal, characterized in that, A host computer for an ear-worn wearable terminal, the ear-worn wearable terminal further includes a collection and stimulation component connected to the host computer, the collection and stimulation component includes an ear clip, a mounting bracket connected to the ear clip, and multiple stimulators mounted on the mounting bracket corresponding to the positions of multiple ear acupoints on the outer ear, the ear clip including a health data sensor; The method includes: Health data is collected through the health data sensor, including skin resistance, heart rate variability, skin temperature data, acceleration data, and the concentration of carbon monoxide in the user's exhaled breath; Psychological stress data is determined based on the health data. The psychological stress data includes a first psychological stress parameter that is positively correlated with the skin resistance, a second psychological stress parameter that is negatively correlated with the heart rate variability, a third psychological stress parameter that is negatively correlated with the temperature data, a fourth psychological stress parameter that is positively correlated with the acceleration data, and a fifth psychological stress parameter that is positively correlated with the carbon monoxide concentration. The first, second, third, fourth, and fifth psychological stress parameters are all normalized parameters ranging from 0 to 1. If no psychological stress parameter greater than the psychological stress threshold is found in the psychological stress data, the step of collecting health data through the health data sensor is repeated. When there is a psychological stress parameter in the psychological stress data that is greater than the psychological stress threshold, the target control information corresponding to the psychological stress data is determined based on the psychological stress data and a preset mapping relationship set. The mapping relationship set includes multiple preset psychological stress data and control information corresponding to each preset psychological stress data. When the number of stimulators controlled by the target control information exceeds a certain threshold, a reminder message is sent to the user through the host. The multiple stimulators are controlled based on the target control information, and the step of collecting health data through the health data sensor is re-executed.

2. The method according to claim 1, characterized in that, The ear clip is used to be clipped into the concha of the ear. The mounting bracket includes multiple mounting slots, and at least one of the mounting slots is equipped with the stimulator. The positions of the multiple mounting slots correspond to the positions of multiple acupoints on the outer ear. The stimulator located in the mounting slot is used to stimulate the acupoint corresponding to the mounting slot by pressing and / or by electrical stimulation. The acupoints are used to provide feedback on the body's physical and mental health status. The ear clip includes a main structure and a skin resistance sensor, an electrocardiogram sensor, a temperature sensor, an acceleration sensor, and a carbon monoxide sensor mounted on the main structure.

3. The method according to claim 2, characterized in that, Based on the aforementioned health data, psychological stress data is determined, including: The skin resistance sensor acquires multiple detected skin resistance values ​​of the user in the 24 hours prior to the current moment. Obtain the first average value of the plurality of detected skin resistance values; Remove skin resistance values ​​from the plurality of detected skin resistance values ​​whose difference from the first average value is greater than or equal to 50% of the first average value; Obtain the second average value of the remaining detected skin resistance values, and the target difference between the largest detected skin resistance value and the second average value among the plurality of detected skin resistance values; The skin resistance value of the user at the current moment is obtained through the skin resistance sensor; Obtain the absolute value of the difference between the current skin resistance value and the second average value; The ratio of the absolute value to the target difference is determined as the first psychological stress parameter.

4. The method according to claim 2, characterized in that, The step of determining the target control information corresponding to the psychological stress data based on the psychological stress data and a preset mapping relationship set includes: Obtain the target similarity between the psychological stress data and each preset psychological stress data in the mapping relationship set. Each target similarity includes the sum of a first similarity, a second similarity, a third similarity, and a fourth similarity. The first similarity is the similarity between a first psychological stress parameter in the psychological stress data and a first psychological stress parameter in the preset psychological stress data. The second similarity is the similarity between a second psychological stress parameter in the psychological stress data and a second psychological stress parameter in the preset psychological stress data. The third similarity is the similarity between a third psychological stress parameter in the psychological stress data and a third psychological stress parameter in the preset psychological stress data. The fourth similarity is the similarity between a fourth psychological stress parameter in the psychological stress data and a fourth psychological stress parameter in the preset psychological stress data. The preset psychological stress data that has the highest similarity to the target psychological stress data is determined as the target psychological stress data; The control information corresponding to the target psychological stress data is determined as the target control information.

5. The method according to claim 2, characterized in that, Sending a reminder message to the user via the host includes: A communication connection is established between the host and the user terminal; The host computer sends a reminder message to the user terminal via the communication connection.

6. The method according to claim 5, characterized in that, After sending the reminder information to the user terminal via the host and the communication connection, the method further includes: Send the stimulator control interface to the user terminal; The user's adjustment parameters are obtained through the stimulator control interface; The target control information is adjusted based on the adjustment parameters.

7. The method according to claim 2, characterized in that, The process of collecting health data through the health data sensor includes: The concentration of carbon monoxide in the user's exhaled breath is detected by the carbon monoxide sensor. When the concentration of carbon monoxide is greater than the carbon monoxide threshold, health data is collected by the health data sensor.

8. The method according to any one of claims 1 to 7, characterized in that, The stimulator includes a pressure stimulation unit and electrodes, wherein the pressure stimulation unit includes at least one of a piezoelectric ceramic actuator and a microelectromechanical system micro-needle array.

9. The method according to claim 8, characterized in that, The host includes a control module, a waveform generation circuit, and a power amplification circuit. The waveform generation circuit is electrically connected to the control module and the power amplification circuit, respectively. The power amplification circuit is electrically connected to the plurality of stimulators. The control module is used to control the waveform generation circuit to generate an electrical signal having at least one waveform selected from continuous square wave, sparse and dense wave, and discontinuous wave. The power amplifier circuit is used to amplify the electrical signal and transmit it to the pressure stimulation unit to control the pressure stimulation unit.

10. A wearable earpiece, characterized in that, The wearable ear terminal includes: processor; Memory for storing the executable instructions of the processor; The processor is configured to execute the method of any one of claims 1-9 by executing the executable instructions.

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