Health management method and device based on hearing aid system, hearing aid and medium

Abstract

The invention discloses a health management method and device based on a hearing aid system, a hearing aid and a medium, and relates to the technical field of hearing aids, the method is applied to a health management system integrated on the hearing aid, and the health management system comprises a physical sign monitoring module, the method comprises the following steps: monitoring first real-time physical sign data of a target user through a physical sign monitoring module; under the condition that the first real-time physical sign data exceed a preset health physical sign range, constructing a target feature vector based on the first real-time physical sign data; inputting the target feature vector into a target model to obtain a predicted symptom root cause of the first real-time sign data shown by the target user; and determining a preset target relieving scheme corresponding to the predicted symptom root cause, and outputting the target relieving scheme through a hearing aid to assist the physical sign data of the target user to recover to the health physical sign range. The problem of low user health management efficiency caused by single function of the hearing aid can be avoided.

Description

Technical Field

[0001] The present application relates to the technical field of hearing aids, and in particular to a health management method, device, hearing aid and medium based on a hearing aid system. Background Art

[0002] With the rapid development of science and technology and the increasing trend of population aging, hearing impairment has become one of the key factors affecting the quality of life of the elderly. Hearing aids, as the main auxiliary equipment for the hearing-impaired, have greatly improved their ability to communicate in daily life.

[0003] At present, elderly users account for a considerable proportion of hearing aid users. These users not only face hearing impairment, but also inevitably have health problems such as chronic diseases and decreased physiological functions. However, most hearing aids on the current market usually focus on hearing compensation, striving to provide users with more accurate and comfortable hearing compensation solutions, while ignoring the user's needs for health management. This causes users to have to rely on various hearing aids other than hearing aids for health management, resulting in low efficiency of user health management.

[0004] Therefore, how to avoid inefficient user health management due to the single function of hearing aids is a problem that needs to be solved urgently. Summary of the invention

[0005] The main purpose of this application is to provide a health management method, device, hearing aid and medium based on a hearing aid system, aiming to avoid the inefficiency of user health management due to the single function of the hearing aid.

[0006] To achieve the above-mentioned object, the present application provides a health management method based on a hearing aid system, wherein the health management method based on a hearing aid system is applied to a health management system integrated on a hearing aid, wherein the health management system includes a vital sign monitoring module, and the health management method based on a hearing aid system includes:

[0007] Monitoring first real-time vital sign data of a target user through the vital sign monitoring module, wherein the target user is a user wearing the hearing aid;

[0008] When the first real-time vital sign data exceeds a preset healthy vital sign range, constructing a target feature vector based on the first real-time vital sign data;

[0009] Input the target feature vector into the target model to obtain the predicted symptom root cause of the target user exhibiting the first real-time physical sign data, wherein the target model is trained using the feature vector constructed based on the physical sign data of the user as model input data and using the label data constructed based on the real symptom root cause of the user as model training label;

[0010] Determine that the predicted symptom root cause corresponds to a preset target relief solution, and output the target relief solution through the hearing aid to assist the target user's vital sign data to recover to the healthy vital sign range.

[0011] In one embodiment, the vital sign monitoring module includes a body temperature monitoring unit, a heart rate monitoring unit and a blood oxygen monitoring unit, and the real-time vital sign data includes real-time body temperature data, real-time heart rate data and real-time blood oxygen data. The body temperature monitoring unit is used to generate the real-time body temperature data, the heart rate monitoring unit is used to generate the real-time heart rate data, and the blood oxygen monitoring unit is used to generate the real-time blood oxygen data.

[0012] In one embodiment, the step of constructing a target feature vector based on the first real-time vital sign data includes:

[0013] Preprocessing the real-time body temperature data, the real-time heart rate data, and the real-time blood oxygen data in the first real-time vital sign data to obtain each characteristic value;

[0014] The target feature vector is obtained by combining the feature quantities.

[0015] In one embodiment, the range of health signs is determined based on the real physical condition of the target user, wherein the real physical condition represents the age, gender, medical history and living habits of the target user.

[0016] In one embodiment, the health management system further comprises a positioning module, and the health management system is communicatively connected with the user terminal;

[0017] After the step of inputting the target feature vector into the target model to obtain the predicted symptom root cause of the target user exhibiting the first real-time physical sign data, the method further includes:

[0018] Detecting the geographical location of the hearing aid by the positioning module, and integrating the geographical location and the predicted symptom root cause into alarm information;

[0019] The alarm information is sent to the user terminal to inform medical staff or the family of the target user.

[0020] In one embodiment, the method further comprises:

[0021] In response to a voice control instruction for the hearing aid, identifying vital sign query information in the voice control instruction;

[0022] The second real-time physical sign data corresponding to the physical sign to be queried in the physical sign query information is obtained from the physical sign monitoring module, and the second real-time physical sign data is output through the hearing aid to inform the target user.

[0023] In one embodiment, the method further comprises:

[0024] Acquire a sample data set, wherein the sample data set includes multiple sample data, one sample data includes a piece of physical sign data of a user and a real symptom root cause, and the physical sign data of the user includes body temperature data, heart rate data, and blood oxygen data of the user at the same time;

[0025] Constructing feature vectors based on the physical sign data in each of the sample data, and constructing label data based on the real root cause of the symptoms in each of the sample data;

[0026] The feature vector corresponding to each piece of the sample data is used as model input data, and the label data corresponding to each piece of the sample data is used as a model training label, and the initial model to be trained is trained to obtain the target model.

[0027] In addition, to achieve the above-mentioned purpose, the present application also provides a health management device based on a hearing aid system, wherein the health management device based on a hearing aid system is applied to a health management system integrated on a hearing aid, wherein the health management system includes a vital sign monitoring module, and the health management device based on a hearing aid system includes:

[0028] A monitoring module, configured to monitor first real-time vital sign data of a target user through the vital sign monitoring module, wherein the target user is a user wearing the hearing aid;

[0029] A construction module, configured to construct a target feature vector based on the first real-time vital sign data when the first real-time vital sign data exceeds a preset healthy vital sign range;

[0030] A prediction module, used for inputting the target feature vector into a target model to obtain a predicted symptom root cause of the target user exhibiting the first real-time physical sign data, wherein the target model is trained using a feature vector constructed based on the physical sign data of the user as model input data and label data constructed based on the real symptom root cause of the user as model training labels;

[0031] The output module is used to determine that the predicted symptom root cause corresponds to a preset target relief solution, and output the target relief solution through the hearing aid to assist the target user's vital sign data to recover to the healthy vital sign range.

[0032] In addition, to achieve the above-mentioned purpose, the present application also provides a storage medium, which is a computer-readable storage medium, and the computer-readable storage medium stores a program for implementing a health management method based on a hearing aid system, and the program for implementing a health management method based on a hearing aid system is executed by a processor to implement the steps of the health management method based on a hearing aid system as described above.

[0033] In addition, to achieve the above objectives, the present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the health management method based on the hearing aid system as described above.

[0034] The present application provides a health management method based on a hearing aid system. The health management method based on the hearing aid system of the present application is applied to a health management system integrated on a hearing aid, and the health management system includes a vital sign monitoring module. The present application monitors first real-time vital sign data of a target user through the vital sign monitoring module, wherein the target user is a user wearing the hearing aid. Then, when the first real-time vital sign data exceeds a preset healthy vital sign range, a target feature vector is constructed based on the real-time vital sign data, and the target feature vector is input into a target model to obtain a predicted symptom root cause causing the target user to exhibit the first real-time vital sign data, wherein the target model is pre-trained using a feature vector constructed based on the user's vital sign data as model input data, and using label data constructed based on the user's real symptom root cause as a model training label. Finally, a preset target relief solution corresponding to the predicted symptom root cause is found, and the relief solution is output through the hearing aid to assist the target user's vital sign data to recover to a healthy vital sign range.

[0035] In summary, compared to traditional hearing aids that are not compatible with health monitoring functions, the present application integrates a health management system that performs health monitoring into the hearing aid, monitors the first real-time vital sign data of the target user wearing the hearing aid, and predicts the root cause of the target user's symptoms based on the first real-time vital sign data through a pre-trained target model when it is detected that the first real-time vital sign data exceeds a preset range, and then finds a mitigation solution corresponding to the root cause of the symptom to assist the target user in recovering to normal vital signs. In this way, the present application can not only monitor the user's vital sign data based on the hearing aid and realize the diversity of hearing aid functions, but also provide mitigation solutions based on the monitored vital sign data to help users recover normal vital signs, thereby improving the efficiency of health management of users based on hearing aids. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0037] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0038] Figure 1 This is a flowchart of the first embodiment of the health management method based on the hearing aid system of the present application;

[0039] Figure 2 A schematic diagram of a hearing aid-based health management process for a hearing aid system according to an embodiment of the hearing aid-based health management method of the present application;

[0040] Figure 3 This is a schematic diagram of the module structure of the health management device based on the hearing aid system of this application;

[0041] Figure 4 This is a schematic diagram of the device structure of the hardware operating environment involved in the health management method based on the hearing aid system in the embodiment of the present application.

[0042] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0043] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0044] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0045] The main solution of the present application is: monitoring the first real-time vital sign data of the target user through the vital sign monitoring module, wherein the target user is a user wearing the hearing aid; when the first real-time vital sign data exceeds the preset healthy vital sign range, constructing a target feature vector based on the first real-time vital sign data; inputting the target feature vector into the target model to obtain the predicted symptom root cause of the target user exhibiting the first real-time vital sign data, wherein the target model is trained using the feature vector constructed based on the user's vital sign data as model input data and the label data constructed based on the user's real symptom root cause as model training label; determining that the predicted symptom root cause corresponds to a preset target relief plan, and outputting the target relief plan through the hearing aid to assist the target user's vital sign data to recover to the healthy vital sign range.

[0046] At present, elderly users account for a considerable proportion of hearing aid users. These users not only face hearing impairment, but also inevitably have health problems such as chronic diseases and decreased physiological functions. However, most hearing aids on the current market usually focus on hearing compensation, striving to provide users with more accurate and comfortable hearing compensation solutions, while ignoring the user's needs for health management. This causes users to have to rely on various hearing aids other than hearing aids for health management, resulting in low efficiency of user health management.

[0047] This application integrates a health management system that performs health monitoring into a hearing aid, monitors the first real-time vital sign data of a target user wearing the hearing aid, and predicts the root cause of the target user's symptoms based on the first real-time vital sign data through a pre-trained target model when it is detected that the first real-time vital sign data exceeds a preset range, and then finds a mitigation solution corresponding to the root cause of the symptom to assist the target user in recovering to normal vital signs. In this way, this application can not only monitor the user's vital sign data based on the hearing aid and realize the diversity of hearing aid functions, but also provide mitigation solutions based on the monitored vital sign data to help the user recover to normal vital signs, thereby improving the efficiency of the user's health management based on the hearing aid.

[0048] It should be noted that the execution subject of the method in each embodiment of the health management method based on the hearing aid system of this application is a health management system integrated on the hearing aid, and the health management system includes a vital sign monitoring module. The following takes the health management system as an example to illustrate this embodiment and the following embodiments.

[0049] Based on this, this application proposes a health management method based on a hearing aid system in the first embodiment, please refer to Figure 1 The health management method based on the hearing aid system includes steps S10 to S40:

[0050] Step S10, monitoring first real-time vital sign data of a target user through the vital sign monitoring module, wherein the target user is a user wearing the hearing aid;

[0051] It should be noted that users who wear hearing aids integrated with a health management system are called target users.

[0052] The target user's vital sign data at the current moment is monitored through the vital sign monitoring module of the health management system (hereinafter referred to as the first real-time vital sign data for distinction), wherein it should be understood that the real-time vital sign data refers to the user's vital sign data monitored in real time by the vital sign monitoring module.

[0053] In this embodiment, the vital sign monitoring module includes a body temperature monitoring unit, a heart rate monitoring unit and a blood oxygen monitoring unit, and the real-time vital sign data includes real-time body temperature data, real-time heart rate data and real-time blood oxygen data. The body temperature monitoring unit is used to generate the real-time body temperature data, the heart rate monitoring unit is used to generate the real-time heart rate data, and the blood oxygen monitoring unit is used to generate the real-time blood oxygen data.

[0054] It should be noted that the above-mentioned vital sign monitoring module includes a body temperature monitoring unit, a heart rate monitoring unit and a blood oxygen monitoring unit, and the real-time vital sign data monitored by the vital sign monitoring module includes real-time body temperature data, real-time heart rate data and real-time blood oxygen data. Specifically, the body temperature monitoring unit is used to monitor the body temperature of the target user and generate real-time body temperature data, the heart rate monitoring unit is used to monitor the heart rate of the target user and generate real-time heart rate data, and the blood oxygen monitoring unit is used to monitor the blood oxygen of the target user and generate real-time blood oxygen data.

[0055] For example, since hearing aids are usually close to the ears, a miniaturized high-precision temperature sensor (such as a thermistor or infrared temperature sensor) can be designed and directly integrated inside or on the edge of the hearing aid housing to ensure that the skin temperature near the ear can be accurately measured. The output of the temperature sensor needs to be connected to the main control chip of the hearing aid; using PPG (Photoplethysmography) technology, an LED light source and a photoelectric sensor are integrated on one side or the back of the hearing aid. The LED light source illuminates the ear skin, and the photoelectric sensor detects changes in the intensity of the reflected light to monitor the heartbeat. It should be noted that since the blood vessels in the ear are not as rich as those in the fingers, the algorithm may need to be optimized to improve the accuracy of heart rate monitoring; also based on PPG technology, the LED light source and photoelectric sensor are shared with the heart rate monitoring unit, but different wavelengths of LED (red light and infrared light) are used to distinguish the absorption difference between oxygenated hemoglobin and deoxygenated hemoglobin, thereby calculating blood oxygen saturation.

[0056] Step S20, when the first real-time vital sign data exceeds a preset healthy vital sign range, constructing a target feature vector based on the first real-time vital sign data;

[0057] It should be noted that the health sign ranges of the target user are pre-set, namely, the body temperature range, heart rate range and blood oxygen range.

[0058] After acquiring the first real-time vital sign data, determine whether the real-time body temperature data in the first real-time vital sign data is within the body temperature range specified in the healthy physical sign range, determine whether the real-time heart rate data in the first real-time vital sign data is within the heart rate range specified in the healthy physical sign range, and determine whether the real-time blood oxygen data in the first real-time vital sign data is within the blood oxygen range specified in the healthy physical sign range. If at least one of the above three types of vital sign data exceeds the healthy physical sign range, it is considered that the first real-time vital sign data exceeds the healthy physical sign range, and a feature vector (hereinafter referred to as the target feature vector for distinction) is constructed based on the first real-time vital sign data.

[0059] In this embodiment, the range of health signs is determined based on the real physical condition of the target user, wherein the real physical condition represents the age, gender, medical history and living habits of the target user.

[0060] It should be noted that the normal range of physical signs for the target user, that is, the above-mentioned healthy range of physical signs, is determined based on the target user's real physical condition, wherein the real physical condition represents the target user's age, gender, medical history and living habits.

[0061] Exemplarily, the fluctuation range of normal body temperature is set according to age and physiological characteristics. For example, for adults, normal body temperature is generally maintained between 36.5°C and 37.2°C; consider factors such as age, gender, and exercise habits to set a reasonable range for resting heart rate and maximum heart rate. For example, the resting heart rate of an adult is usually between 60-100 beats / minute; the blood oxygen saturation of a healthy adult is generally not less than 95%, but for users with a history of respiratory or heart disease, closer monitoring and lower threshold settings may be required. Among them, it should be understood that the above-mentioned health sign range can be dynamically adjusted according to changes in the user's physical condition.

[0062] In this embodiment, the step S20 may include:

[0063] Step S201, performing data preprocessing on the real-time body temperature data, the real-time heart rate data and the real-time blood oxygen data in the first real-time vital sign data to obtain each characteristic value;

[0064] Step S202: Combining the feature quantities to obtain a target feature vector.

[0065] The real-time body temperature data in the real-time vital sign data is preprocessed by denoising and standardizing to obtain the feature quantity corresponding to the real-time body temperature data; the real-time heart rate data in the real-time vital sign data is preprocessed by filtering and heart rate extraction to obtain the feature quantity corresponding to the real-time heart rate data; the real-time blood oxygen data in the real-time vital sign data is preprocessed by denoising and calibrating to obtain the feature quantity corresponding to the real-time blood oxygen data; and then the target feature vector is obtained by splicing and combining the feature quantities.

[0066] Step S30, inputting the target feature vector into a target model to obtain the predicted symptom root cause of the target user exhibiting the first real-time physical sign data, wherein the target model is trained using the feature vector constructed based on the physical sign data of the user as model input data and using the label data constructed based on the real symptom root cause of the user as model training label;

[0067] It should be noted that the user's vital sign data includes body temperature data, heart rate data and blood oxygen data. The user's real symptom root cause refers to the reason that causes the user to present the above-mentioned vital sign data. The initial model is trained in advance using the feature vector constructed based on the user's vital sign data as the model input data, and the label data constructed based on the user's real symptom root cause is used as the model training label to obtain a target model for symptom root cause prediction. Among them, the embodiment of the present application does not limit the specific type of the initial model, which can be a deep neural network model or a convolutional neural network model, etc.

[0068] The target feature vector is input into the target model to obtain the root cause of the symptom of the target user exhibiting the first real-time physical sign data (hereinafter referred to as the predicted root cause of the symptom for distinction).

[0069] In this embodiment, the health management method based on the hearing aid system of the present application also includes:

[0070] Step A10, obtaining a sample data set, wherein the sample data set includes multiple sample data, one sample data includes a piece of physical sign data of the user and a real symptom root cause, and the physical sign data of the user includes the body temperature data, heart rate data and blood oxygen data of the user at the same time;

[0071] Step A20, constructing feature vectors based on the physical sign data in each piece of the sample data, and constructing label data based on the real symptom root cause in each piece of the sample data;

[0072] Step A30, using the feature vector corresponding to each piece of the sample data as model input data, and using the label data corresponding to each piece of the sample data as model training labels, to train the initial model to be trained, and obtain the target model.

[0073] The training process of the target model is as follows: construct a sample data set based on multiple sample data, wherein each sample data includes a piece of vital sign data of the user and the real root cause of the user's symptoms, and the vital sign data includes the user's body temperature data, heart rate data and blood oxygen data at the same time (hereinafter referred to as the first time for distinction), and the real root cause of the symptoms is the root cause of the user's symptoms at the first time; construct a feature vector based on the vital sign data in each sample data, and construct label data based on the real root cause of the symptoms in each sample data; use the feature vector corresponding to each sample data as model input data, and use the label data corresponding to each sample data as model training label, train the initial model to be trained, and obtain the target model for symptom root cause prediction.

[0074] Step S40, determining that the predicted symptom root cause corresponds to a preset target relief solution, and outputting the target relief solution through the hearing aid to assist the target user's vital sign data to recover to the healthy vital sign range.

[0075] It should be noted that the mapping relationship between the root cause of the symptom and the mitigation solution is preset, and a mapping relationship table is generated. The mitigation solution may be a prompt for reminding the user to reuse the targeted drug.

[0076] After the predicted root cause of the symptom is output through the target model, the relief solution corresponding to the predicted root cause of the symptom (hereinafter referred to as the target relief solution for distinction) is found from the preset mapping relationship table, and then the voice prompt corresponding to the target relief solution is output through the speaker of the hearing aid to assist the target user to restore normal physical signs.

[0077] For example, Figure 2 The figure shows a flowchart of a hearing aid-based health management system, which monitors the real-time vital sign data of a user wearing a hearing aid; determines whether the real-time vital sign data is within the preset healthy vital sign range; if not, constructs a feature vector based on the real-time vital sign data, and inputs the feature vector into the target model to obtain the cause of the user's abnormal vital sign (i.e., the predicted root cause of the symptom); determines the preset relief plan corresponding to the predicted root cause of the symptom, and plays the voice prompt corresponding to the environmental plan through the speaker of the hearing aid.

[0078] In summary, compared to traditional hearing aids that are not compatible with health monitoring functions, the embodiments of the present application integrate a health management system that performs health monitoring into the hearing aid, monitor the first real-time vital sign data of the target user wearing the hearing aid, and when it is detected that the first real-time vital sign data exceeds a preset range, predict the root cause of the target user's symptoms based on the first real-time vital sign data through a pre-trained target model, and then find a mitigation solution corresponding to the root cause of the symptom to assist the target user in recovering to normal vital signs. In this way, the present application can not only monitor the user's vital sign data based on the hearing aid and realize the diversity of hearing aid functions, but also provide mitigation solutions based on the monitored vital sign data to help users recover to normal vital signs, thereby improving the efficiency of health management of users based on hearing aids.

[0079] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction, and will not be repeated later. On this basis, the health management system also includes a positioning module, and the health management system is connected to the user terminal in communication. The health management method based on the hearing aid system of the present application also includes:

[0080] Step B10, detecting the geographical location of the hearing aid by the positioning module, and integrating the geographical location and the predicted symptom root cause into alarm information;

[0081] Step B20: Send the alarm information to the user terminal to inform medical staff or the family of the target user.

[0082] It should be noted that the health management system of the present application includes a positioning module, which is used to determine the geographical location of the hearing aid. The health management system is connected to one or more user terminals in communication, and it should be understood that the user terminal is a terminal device of a medical staff or a family member of the target user.

[0083] After detecting that the first real-time vital sign data is not within the preset healthy vital sign range and generating the predicted symptom root cause through the target model, the geographical location of the hearing aid is monitored through the positioning module, and the geographical location and the predicted symptom root cause are integrated to obtain the alarm information, that is, it should be understood that the alarm information represents the geographical location of the hearing aid and the predicted symptom root cause of the target user. Then, the alarm information is sent to the user terminal, so as to inform the medical staff or the family of the target user to pay attention to the health of the target user in time.

[0084] In this way, the embodiment of the present application realizes the positioning function of the hearing aid by setting a positioning module on the hearing aid, and establishes a communication connection between the health management system and the user terminal, so that when the vital sign data of the user wearing the hearing aid is abnormal, an alarm message is generated based on the real-time position of the hearing aid and the abnormal situation of the user, and the alarm message is sent to the user terminal to realize the function of calling for help. This further ensures the health and safety of the hearing aid user.

[0085] Based on the first embodiment and / or the second embodiment of the present application, in the third embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction and will not be repeated in the following. On this basis, the health management method based on the hearing aid system of the present application also includes:

[0086] Step C10, in response to a voice control instruction for the hearing aid, identifying vital sign query information in the voice control instruction;

[0087] Step C20, obtaining second real-time physical sign data corresponding to the physical sign to be queried in the physical sign query information from the physical sign monitoring module, and outputting the second real-time physical sign data through the hearing aid to inform the target user.

[0088] It should be noted that the hearing aid of the present application has a built-in voice assistant, and the user can wake up the voice assistant according to the preset wake-up word to control the hearing aid to perform the data feedback function through voice.

[0089] In response to the target user's voice control instruction for the hearing aid, the text information corresponding to the voice control instruction is determined, and the semantics between the text information and the preset query text are compared. When the semantic comparison is consistent, the preset query text is determined to be the vital sign query information in the voice control instruction, and the real-time vital sign data (hereinafter referred to as the second real-time vital sign data for distinction) corresponding to the vital sign to be queried in the vital sign query information is obtained from the vital sign monitoring module, and then the voice prompt corresponding to the second real-time vital sign data is played through the speaker of the hearing aid to inform the target user of the current real-time vital sign data.

[0090] Exemplarily, the voice assistant is awakened when it hears "Hi, little ear", and obtains the text information corresponding to the voice control command initiated by the target user, which is "What is my current body temperature?", and determines that the text information is semantically consistent with the preset query text "Body temperature data query", so it is determined that the vital sign query information in the voice control command is "Body temperature data query", that is, the vital sign to be queried in the vital sign query information is body temperature, so the user's current body temperature data obtained from the vital sign monitoring module is 37.1°, and the information is played through the speaker of the hearing aid.

[0091] In this way, since the hearing aid is integrated with a health management system that can detect the user's vital signs data in real time, and the hearing aid has a voice control function, it provides users with a more convenient health monitoring solution. That is, users can query current vital signs data through voice, which improves the efficiency of users' health monitoring based on hearing aids.

[0092] The present application also provides a health management device based on a hearing aid system. Figure 3 The health management device based on the hearing aid system is applied to a health management system integrated on the hearing aid, the health management system includes a vital sign monitoring module, and the health management device based on the hearing aid system includes:

[0093] A monitoring module 10, configured to monitor first real-time vital sign data of a target user through the vital sign monitoring module, wherein the target user is a user wearing the hearing aid;

[0094] A construction module 20, configured to construct a target feature vector based on the first real-time vital sign data when the first real-time vital sign data exceeds a preset healthy vital sign range;

[0095] A prediction module 30 is used to input the target feature vector into a target model to obtain a predicted symptom root cause of the target user exhibiting the first real-time physical sign data, wherein the target model is trained using a feature vector constructed based on the physical sign data of the user as model input data and label data constructed based on the real symptom root cause of the user as model training labels;

[0096] The output module 40 is used to determine that the predicted symptom root cause corresponds to a preset target relief solution, and output the target relief solution through the hearing aid to assist the target user's vital sign data to recover to the healthy vital sign range.

[0097] Optionally, the vital sign monitoring module includes a body temperature monitoring unit, a heart rate monitoring unit and a blood oxygen monitoring unit, and the real-time vital sign data includes real-time body temperature data, real-time heart rate data and real-time blood oxygen data. The body temperature monitoring unit is used to generate the real-time body temperature data, the heart rate monitoring unit is used to generate the real-time heart rate data, and the blood oxygen monitoring unit is used to generate the real-time blood oxygen data.

[0098] Optionally, the building module 20 is further used for:

[0099] Preprocessing the real-time body temperature data, the real-time heart rate data, and the real-time blood oxygen data in the first real-time vital sign data to obtain each characteristic value;

[0100] The target feature vector is obtained by combining the feature quantities.

[0101] Optionally, the range of health signs is determined based on the real physical condition of the target user, wherein the real physical condition represents the age, gender, medical history and living habits of the target user.

[0102] Optionally, the health management system further includes a positioning module, and the health management system is communicatively connected with the user terminal;

[0103] The hearing aid system-based health management device further includes an alarm module, which is used to:

[0104] Detecting the geographical location of the hearing aid by the positioning module, and integrating the geographical location and the predicted symptom root cause into alarm information;

[0105] The alarm information is sent to the user terminal to inform medical staff or the family of the target user.

[0106] Optionally, the hearing aid system-based health management device further includes a query module, and the query module is used to:

[0107] In response to a voice control instruction for the hearing aid, identifying vital sign query information in the voice control instruction;

[0108] The second real-time physical sign data corresponding to the physical sign to be queried in the physical sign query information is obtained from the physical sign monitoring module, and the second real-time physical sign data is output through the hearing aid to inform the target user.

[0109] Optionally, the hearing aid system-based health management device further includes a training module, and the training module is used to:

[0110] Acquire a sample data set, wherein the sample data set includes multiple sample data, one sample data includes a piece of physical sign data of a user and a real symptom root cause, and the physical sign data of the user includes body temperature data, heart rate data, and blood oxygen data of the user at the same time;

[0111] Constructing feature vectors based on the physical sign data in each of the sample data, and constructing label data based on the real root cause of the symptoms in each of the sample data;

[0112] The feature vector corresponding to each piece of the sample data is used as model input data, and the label data corresponding to each piece of the sample data is used as a model training label, and the initial model to be trained is trained to obtain the target model.

[0113] The hearing aid system-based health management device provided in the embodiment of the present application adopts the hearing aid system-based health management method in the above embodiment, which can solve the technical problem of how to avoid the low efficiency of user health management due to the single function of the hearing aid. Compared with the prior art, the beneficial effects of the hearing aid system-based health management device provided in the embodiment of the present application are the same as the beneficial effects of the hearing aid system-based health management method provided in the above embodiment, and the other technical features of the hearing aid system-based health management device are the same as the features disclosed in the above embodiment method, which will not be repeated here.

[0114] The present application provides a hearing aid, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the health management method based on the hearing aid system in the above-mentioned embodiment 1.

[0115] Reference below Figure 4 , which shows a structural schematic diagram of a hearing aid suitable for implementing an embodiment of the present application. Figure 4 The hearing aid shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0116] like Figure 4As shown, the hearing aid may include a processing device 1001 (e.g., a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read On ly Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. Various programs and data required for the operation of the hearing aid are also stored in the RAM 1004. The processing device 1001, the ROM 1002, and the RAM 1004 are connected to each other via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems may be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touch pad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 may allow the hearing aid to communicate with other devices wirelessly or by wire to exchange data. Although the figures show hearing aids with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have instead.

[0117] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0118] The hearing aid provided by the present application adopts the health management method based on the hearing aid system in the above embodiment, which can solve the technical problem of how to avoid the low efficiency of user health management due to the single function of the hearing aid. Compared with the prior art, the beneficial effects of the hearing aid provided by the present application are the same as the beneficial effects of the health management method based on the hearing aid system provided by the above embodiment, and the other technical features in the hearing aid are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0119] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0120] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0121] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the health management method based on the hearing aid system in the above-mentioned embodiment.

[0122] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM: Random Access Memory), a read-only memory (ROM: Read On ly Memory), an erasable programmable read-only memory (EPROM: Erasable Programmab le Read On ly Memory or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM: CD-Read On ly Memory), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency: Radio Frequency), etc., or any suitable combination of the above.

[0123] The computer-readable storage medium may be included in the hearing aid, or may exist independently without being installed in the hearing aid.

[0124] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the hearing aid, the hearing aid: monitors the first real-time vital sign data of the target user through the vital sign monitoring module, wherein the target user is the user wearing the hearing aid; when the first real-time vital sign data exceeds the preset healthy vital sign range, constructs a target feature vector based on the first real-time vital sign data; inputs the target feature vector into the target model to obtain the predicted symptom root cause of the target user exhibiting the first real-time vital sign data, wherein the target model is trained by using the feature vector constructed based on the user's vital sign data as model input data and the label data constructed based on the user's real symptom root cause as model training label; determines that the predicted symptom root cause corresponds to a preset target relief plan, and outputs the target relief plan through the hearing aid to assist the target user's vital sign data to recover to the healthy vital sign range.

[0125] The computer program code for performing the operation of the present application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as an independent software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, using an Internet service provider to connect through the Internet).

[0126] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0127] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0128] The readable storage medium provided in the present application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned health management method based on the hearing aid system, and can solve the technical problem of how to avoid the low efficiency of user health management due to the single function of the hearing aid. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in the present application are the same as the beneficial effects of the health management method based on the hearing aid system provided in the above-mentioned embodiment, and will not be repeated here.

[0129] An embodiment of the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the health management method based on the hearing aid system as described above.

[0130] The computer program product provided by the present application can avoid the inefficiency of user health management due to the single function of the hearing aid. Compared with the prior art, the beneficial effects of the computer program product provided by the embodiment of the present application are the same as the beneficial effects of the health management method based on the hearing aid system provided by the above embodiment, which will not be repeated here.

[0131] The above are only preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent processing scope of the present application.

Claims

1. A health management method based on a hearing aid system, characterized in that: The health management method based on the hearing aid system is applied to a health management system integrated on the hearing aid, the health management system includes a vital sign monitoring module, and the health management method based on the hearing aid system includes: Monitoring first real-time vital sign data of a target user through the vital sign monitoring module, wherein the target user is a user wearing the hearing aid; In the case where the first real-time vital sign data exceeds a preset healthy vital sign range, constructing a target feature vector based on the first real-time vital sign data; Input the target feature vector into the target model to obtain the predicted symptom root cause of the target user exhibiting the first real-time physical sign data, wherein the target model is trained using the feature vector constructed based on the physical sign data of the user as model input data and using the label data constructed based on the real symptom root cause of the user as model training label; Determine that the predicted symptom root cause corresponds to a preset target relief solution, and output the target relief solution through the hearing aid to assist the target user's vital sign data to recover to the healthy vital sign range.

2. The method according to claim 1, characterized in that The vital sign monitoring module includes a body temperature monitoring unit, a heart rate monitoring unit and a blood oxygen monitoring unit. The real-time vital sign data includes real-time body temperature data, real-time heart rate data and real-time blood oxygen data. The body temperature monitoring unit is used to generate the real-time body temperature data, the heart rate monitoring unit is used to generate the real-time heart rate data, and the blood oxygen monitoring unit is used to generate the real-time blood oxygen data.

3. The method according to claim 2, characterized in that The step of constructing a target feature vector based on the first real-time vital sign data comprises: Preprocessing the real-time body temperature data, the real-time heart rate data, and the real-time blood oxygen data in the first real-time vital sign data to obtain each characteristic value; The target feature vector is obtained by combining the feature quantities.

4. The method according to claim 1, characterized in that The range of health signs is determined based on the real physical condition of the target user, wherein the real physical condition represents the age, gender, medical history and living habits of the target user.

5. The method according to claim 1, characterized in that The health management system further comprises a positioning module, and the health management system is communicatively connected with the user terminal; After the step of inputting the target feature vector into the target model to obtain the predicted symptom root cause of the target user exhibiting the first real-time physical sign data, the method further includes: Detecting the geographical location of the hearing aid by the positioning module, and integrating the geographical location and the predicted symptom root cause into alarm information; The alarm information is sent to the user terminal to inform medical staff or the family of the target user.

6. The method according to claim 1, characterized in that The method further comprises: In response to a voice control instruction for the hearing aid, identifying vital sign query information in the voice control instruction; The second real-time physical sign data corresponding to the physical sign to be queried in the physical sign query information is obtained from the physical sign monitoring module, and the second real-time physical sign data is output through the hearing aid to inform the target user.

7. The method according to any one of claims 1 to 6, characterized in that The method further comprises: Acquire a sample data set, wherein the sample data set includes multiple sample data, one sample data includes a piece of physical sign data of a user and a real symptom root cause, and the physical sign data of the user includes body temperature data, heart rate data, and blood oxygen data of the user at the same time; Constructing feature vectors based on the physical sign data in each of the sample data, and constructing label data based on the real root cause of the symptoms in each of the sample data; The feature vector corresponding to each piece of the sample data is used as model input data, and the label data corresponding to each piece of the sample data is used as a model training label, and the initial model to be trained is trained to obtain the target model.

8. A health management device based on a hearing aid system, characterized in that: The hearing aid system-based health management device is applied to a health management system integrated on a hearing aid, the health management system includes a vital sign monitoring module, and the hearing aid system-based health management device includes: A monitoring module, configured to monitor first real-time vital sign data of a target user through the vital sign monitoring module, wherein the target user is a user wearing the hearing aid; A construction module, configured to construct a target feature vector based on the first real-time vital sign data when the first real-time vital sign data exceeds a preset healthy vital sign range; A prediction module, used for inputting the target feature vector into a target model to obtain a predicted symptom root cause of the target user exhibiting the first real-time physical sign data, wherein the target model is trained using a feature vector constructed based on the physical sign data of the user as model input data and label data constructed based on the real symptom root cause of the user as model training labels; The output module is used to determine that the predicted symptom root cause corresponds to a preset target relief solution, and output the target relief solution through the hearing aid to assist the target user's vital sign data to recover to the healthy vital sign range.

9. A hearing aid, characterized in that: The hearing aid comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the hearing aid system-based health management method according to any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium is a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the hearing aid system-based health management method according to any one of claims 1 to 7 are implemented.

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