Gout detection hearing aid system for monitoring uric acid level in real time by using sweat sensor

Abstract

The embodiment of the invention discloses a gout detection hearing aid system for monitoring uric acid level in real time by using a sweat sensor, and relates to the technical field of hearing aid devices and algorithms. The hearing aid system comprises a hearing aid, a processor and a processor, the outer side of the flexible sweat sensor patch is used for being attached to the skin behind the ear, the inner side of the flexible sweat sensor patch is attached to the outer surface of the hearing aid, and the flexible sweat sensor patch is electrically connected with the hearing aid chip through a contact electrode; sweat of the skin behind the ear flows into the micro-channel through the sweat collecting hole, after an electric field is applied to the detection electrode, the level of uric acid in the micro-channel is measured through the Raman spectrum technology, and the uric acid is transmitted to the interior of the hearing-aid chip to be processed. And the disease monitoring system is used for recording detection data, analyzing gout risks and linking the hearing aid to carry out in-ear early warning when the data is abnormal. The system is noninvasive and portable, and can solve the problem of user hearing and gout management at the same time.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of hearing aid devices and algorithm technology, and more particularly to a gout detection hearing aid system that uses a sweat sensor to monitor uric acid levels in real time. Background Art

[0002] Gout is a type of joint inflammation caused by the precipitation of uric acid crystals in the synovial fluid of the joints, forming urate crystals. It is extremely painful when it occurs and can cause serious problems such as joint deformation. Gout can be effectively controlled by measuring the uric acid level in the body.

[0003] Traditional gout tests are mostly done by acupuncture blood tests or 24-hour uric acid tests. Blood tests are invasive tests, and urine tests require 24-hour regular sampling tests. Long-term or invasive tests increase the patient's physical pain and easily lead to psychological resistance. In addition, existing uric acid testing devices are inconvenient to carry, and routine self-examination lacks records and analysis, making it impossible to perform diversified processing and display of disease data. Summary of the invention

[0004] An embodiment of the present invention provides a gout detection hearing aid system that uses a sweat sensor to monitor uric acid levels in real time to solve at least one of the above problems.

[0005] In a first aspect, an embodiment of the present invention provides a gout detection hearing aid system for real-time monitoring of uric acid levels using a sweat sensor, comprising: Hearing aids, including hearing aid chips; A flexible sweat sensor patch, comprising a sweat collection hole, a detection electrode and a microchannel; wherein the outer side of the flexible sweat sensor patch is used to adhere to the skin behind the ear, and the inner side is adhered to the outer surface of the hearing aid, and is electrically connected to the hearing aid chip through a contact electrode; after the hearing aid is worn, the sweat of the skin behind the ear flows into the microchannel through the sweat collection hole, and after the detection electrode applies an electric field, the uric acid level in the microchannel is measured using Raman spectroscopy technology and transmitted to the hearing aid chip for processing; The disease monitoring system is used to record test data, analyze gout risks, and link the hearing aid to provide in-ear warning when the data is abnormal.

[0006] In a second aspect, an embodiment of the present invention provides a gout monitoring method for a gout detection hearing aid system that uses a sweat sensor to monitor uric acid levels in real time, which is applied to the above-mentioned disease monitoring system, wherein the disease monitoring system includes a central server and multiple user terminals, and the central server and each user terminal have the same multi-scale geographic grid base map; The method comprises: Each user terminal records the user's geographical location when the user's uric acid level exceeds the healthy range, generates two other geographical locations in a geographical grid of any scale where the geographical location is located, and sends the three geographical locations and the corresponding uric acid data as a data point to the central server; The central server receives the data points sent by each user terminal and displays the geographical distribution of uric acid data at a specific scale based on each data point.

[0007] In summary, the embodiments of the present invention combine the advantages of the portability of hearing aids and the non-invasiveness of sweat sensors, and can achieve the following beneficial effects: 1. Traditional gout detection is mostly done by blood sampling with needles. Long-term invasive testing increases the user's physical pain and easily leads to psychological resistance. This embodiment detects the uric acid level in sweat to estimate the human body's uric acid level and assist in gout management. 2. As the existing uric acid detection device is inconvenient to carry, hearing aids are the preferred product to solve hearing problems. They have the advantages of miniaturization, portability and uniform audience. Combining sweat sensor detection devices with hearing aids can achieve real-time management of gout. 3. In view of the problem of lack of record and analysis in conventional self-examination in the existing technology, the real-time warning system of the gout detection hearing aid system that uses sweat sensors to monitor uric acid levels in real time can be used for health management, real-time recording of uric acid levels and disease analysis, auxiliary treatment, and real-time warning. At the same time, with the help of hearing aids, the user's hearing condition is improved to solve the problem of users not being able to hear or not being able to hear clearly. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0009] Figure 1 is a functional structure diagram of a gout detection hearing aid system for real-time monitoring of uric acid levels using a sweat sensor provided by an embodiment of the present invention; Figure 2 This is a main structural diagram of a gout detection hearing aid system that uses a sweat sensor to monitor uric acid levels in real time, provided by an embodiment of the present invention; Figure 3 is a diagram of an installation method of a hearing aid and a sweat sensor provided by an embodiment of the present invention; Figure 4 is a structural schematic diagram of a flexible sweat sensor patch provided by an embodiment of the present invention; Figure 5 This is a schematic diagram of a method of stimulating sweating by iontophoresis provided by an embodiment of the present invention; Figure 6 This is a flowchart of a data display method for a gout detection hearing aid system that uses a sweat sensor to monitor uric acid levels in real time, provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0010] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work belong to the scope of protection of the present invention.

[0011] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and "third" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

[0012] In the description of the present invention, it is also necessary to explain that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0013] Reference Figure 1-Figure 5 The embodiment of the present invention provides a gout detection hearing aid system that uses a sweat sensor to monitor uric acid levels in real time. The system includes: a hearing aid, a flexible sweat sensor patch, and a disease monitoring system.

[0014] The hearing aid includes at least one microphone, a hearing aid chip and a receiver. The microphone is a high-precision microphone, which is used to receive external sounds into the hearing aid and transmit them to the hearing aid chip. The hearing aid chip integrates a hearing aid algorithm and a uric acid analysis algorithm. The hearing aid algorithm can optimize the sound and output it (for example, amplify, reduce, denoise, etc. the sound and then output it). The uric acid analysis algorithm will be described in the flexible sweat sensor patch section. The receiver is used to output the sound into the user's ear to solve the hearing loss problem.

[0015] The flexible sweat sensor patch includes sweat collection holes, detection electrodes (i.e. Figure 4 The outer side of the flexible sweat sensor patch is used to adhere to the skin behind the ear, and the inner side is attached to the outer surface of the hearing aid, and is electrically connected to the hearing aid chip of the hearing aid through the contact electrode. For example, Figure 2 , Figure 3 As shown, the inner side of the flexible sweat sensor patch is connected to the hearing aid host through contact electrodes for power supply and communication, and is fixed to the back of the hearing aid through adhesive. After the hearing aid is worn, the outer side of the flexible sweat sensor patch is attached to the skin behind the ear. Figure 4 , the sweat from the skin behind the ear flows into the microchannel through the sweat collection hole, and the sweat in the microchannel contacts the detection electrode. After the detection electrode applies an electric field, the uric acid level in the microchannel is determined by Raman spectroscopy and transmitted to the hearing aid chip for internal processing. At the same time, an exhaust port is provided at the end of the microchannel, and waste liquid is generated into gas through detection reaction and heating in the microchannel, which is discharged through the exhaust port. Optionally, the detection electrode can be a nickel-gold alloy electrode. In the uric acid analysis algorithm, the uric acid level in sweat can be converted into uric acid level according to the corresponding relationship. The specific process is prior art and will not be repeated here.

[0016] More specifically, the main body of the flexible sweat sensor patch is a microfluidic chip system. Microfluidic chip, also known as Lab-on-chip, is a science and technology that is mainly characterized by the manipulation of fluids in micrometer-scale space. It has good biocompatibility, electrical insulation, heat dissipation, optical properties, etc., and its surface has good modifiability. The sensor made based on this principle has the characteristics of high sensitivity, fast response speed and small size. The sensor of this embodiment uses polydimethylsiloxane as the base material, depicts microchannels to collect sweat, and detects uric acid levels through electrical and chemical reactions.

[0017] Furthermore, in a specific implementation, the sweat sensor can be divided into a sweat monitoring system, a sweat removal system, a sweat collection system, and a sweat analysis system from a functional perspective.

[0018] Sweat monitoring system: The microchannel substrate is made of polydimethylsiloxane material with a rough surface. Different refractive indexes of visible light will cause the microchannel to change color in the empty state and the water-filled state, so as to detect the sweating of the human body in real time and analyze and judge whether the detection state is met. When there is a detection demand but the sweat flow of the human body is not enough to support the detection, active sweating will be started. Optional, such as Figure 5 As shown, iontophoresis can be used, with the detection electrode acting as an iontophoresis electrode. By applying a voltage between the iontophoresis electrodes, a current is generated under the skin surface, thereby stimulating sweat secretion.

[0019] Sweat discharge system: The liquid in the microchannel generates gas through detection reaction and heating, and then discharges from the sensor through the discharge hole.

[0020] Sweat collection system: The main body is the nanosilver wire microchannel in the microfluidic chip system and the sweat collection channel in the sensor. The sweat behind the ear enters the sensor through the one-way collection hole and is absorbed by the microchannel.

[0021] Sweat analysis system: Use Raman spectroscopy (SERS) to measure uric acid concentration. Raman spectroscopy is an ultra-sensitive spectral analysis technology at the single-molecule level. The highly confined electromagnetic field caused by the collective oscillation of free electrons on the metal surface is called surface plasmon, which significantly enhances the SERS signal. The uric acid concentration is calculated by measuring the absorption and reflection spectra of uric acid molecules in human sweat in the microchannel to specific light waves. Optionally, the microchannel is a paper fluid with a silver nanowire layer, which is made into a spiral channel as an enhanced substrate based on PDMS (polydimethylsiloxane) surface plasma. The volume of sweat can be calculated through the spiral microchannel state, and the SERS spectrum (Raman spectrum) of sweat can be obtained. The uric acid level in the microchannel is determined by spectral analysis and transmitted to the internal chip of the hearing aid host for processing.

[0022] The disease monitoring system can be used to record and analyze the measured data, and when the data is abnormal, the hearing aid will be linked to an in-ear alarm. The disease monitoring system can be deployed on a mobile phone or other electronic devices. In a specific embodiment, the disease monitoring system can be divided into a data processing system, a data monitoring system, and a disease early warning system. Among them, the data processing system can record and analyze uric acid data; the data monitoring system can analyze the health status based on the processed data, form a health report, and provide a reference for auxiliary treatment of gout; and the disease early warning system will link the hearing aid to an in-ear alarm when the data is abnormal, and alarm the bound relatives or doctors through the mobile phone APP, so that timely examination and treatment can be carried out.

[0023] In summary, this embodiment provides a gout detection hearing aid system that uses a sweat sensor to monitor uric acid levels in real time, combining the advantages of the portable hearing aid and the non-invasive sweat sensor to achieve the following beneficial effects: 1. Traditional uric acid testing is mostly done by blood sampling with needles. Long-term invasive testing increases the user's physical pain and easily leads to psychological resistance. This embodiment estimates the uric acid level in the human body by detecting the uric acid level in sweat, thus assisting in gout management. 2. As the existing uric acid detection device is inconvenient to carry, hearing aids are the preferred product to solve hearing problems. They have the advantages of miniaturization, portability and uniform audience. Combining sweat sensor detection devices with hearing aids can achieve real-time management of gout. 3. In view of the problem that conventional self-examination in the existing technology lacks records and analysis, and it is difficult to independently judge the direction of the disease, the real-time warning system equipped with the gout detection hearing aid system that uses sweat sensors to monitor uric acid levels in real time can perform health management, record uric acid levels in real time and perform disease analysis, assist in treatment, and provide real-time warnings. At the same time, with the help of hearing aids, the user's hearing condition is improved to solve the problem of users not being able to hear or hear clearly.

[0024] In a specific embodiment, the disease monitoring system may include a central server and a user terminal of each user, wherein the user terminal of each user may encrypt the detection data of each user and send it to the central server, and the central server may display the geographical distribution of the detection data based on the received data. More specifically, the central server and each user terminal have the same multi-scale geographic grid base map. For example, the central server divides a geographic map into multiple grids with a side length of a, and then divides the four sides of each grid into two equal parts, obtaining a grid with a side length of 2. -1 ×a small grid, and then divide the four sides of each small grid into two equal parts, so that the length of the side is 2 -2 ×a, and so on, and finally we get a smaller grid including a, 2 -1 ×a, 2 -2 ×a… and other geographic raster base maps of various scales, and synchronize the base map to each user terminal, so that the central server and the user terminal have the same base map and multi-level raster scale.

[0025] Based on the above disease monitoring system, Figure 6 This is a flow chart of a data display method for a gout detection hearing aid system using a sweat sensor to monitor uric acid levels in real time, provided by an embodiment of the present invention. This method is applicable to the case where the geographical distribution of uric acid data of a large number of users is displayed, and is executed by the above-mentioned disease monitoring system. Figure 6 As shown, the method specifically includes: S110. Each user terminal records the user's geographical location when the user's uric acid level exceeds the healthy range, generates another two geographical locations in a geographical grid of any scale where the geographical location is located, and sends the three geographical locations and corresponding uric acid data as a data point to the central server.

[0026] When the uric acid level in the user's body is too high, it can cause gout attacks. In order to better monitor gout conditions, a maximum uric acid threshold can be set in the disease monitoring system. When the user's uric acid data is higher than the threshold, the user terminal records the user's geographical location during the period of high uric acid, and sends the geographical location and abnormal uric acid data to the central server, so that the central server can display the geographical location distribution of abnormal uric acid data in subsequent steps.

[0027] In order to protect user privacy, this embodiment uses a method of generating a false location to encrypt the user's real location. Optionally, for any user terminal, when the user's uric acid data is higher than the health threshold, the user's geographic location can be continuously obtained through the GPS chip, and when the uric acid data returns to below the health threshold or the user's geographic location changes beyond the set range (for example, more than 10 kilometers), the average uric acid data during this period is calculated, and the average data and the user's initial geographic location during this period are used as a piece of data to be sent, and the next piece of data is monitored at the same time. For the current piece of data to be sent, two false geographic locations can be generated, and the two false geographic locations, the real geographic location (i.e., the above-mentioned initial geographic location) and the uric acid data are sent to the central server together.

[0028] In a specific implementation, one grid scale can be selected from the multi-scale geographic grid base map, the grid where the user's real geographic location is located can be located at the selected grid scale, and two false geographic locations can be randomly generated in the grid, and then the three geographic locations and uric acid data can be used as a uric acid data point and sent to the central server. In this way, the real geographic location can be confused with the false location within a certain range, which increases the difficulty for the data stealer to crack the user's real geographic location at the data transmission or receiving end.

[0029] S120. The central server receives the data points sent by each user terminal, and displays the geographical distribution of uric acid data at a specific scale based on each data point.

[0030] Specifically, each data point received by the central server includes three geographical locations, and the central server cannot directly determine which location is the user's real location. The geographical distribution display of uric acid data at a certain scale is to use the grid of that scale as the unit, and display the average uric acid level (abnormal data) of all users in the grid on the map. Therefore, in order to complete this display, it is necessary to first determine the data points whose real locations fall in each grid.

[0031] In a specific embodiment, when a doctor or patient (for example, through a user terminal or other technical means) initiates a request for displaying the geographical distribution of uric acid data at a specific scale to a central server, the central server performs the following operations: First, from the received data, filter out the data points whose three geographical locations are all located in the same grid under the specific scale. Optionally, the specific scale can be a display scale specified by the user, which can be specified arbitrarily, and can be the same as or different from the "arbitrary scale" in the position encryption in S110, and there is no necessary connection between the two. Among the data points filtered out in this step, the three geographical locations are all located in the same grid under the specific scale, so the uric acid data in the data point must be the uric acid data in the grid, and there is no need to further explore which of the three positions is the user's true geographical location. In the display of the geographical location distribution of uric acid data, the more such data points, the better. For ease of distinction and description, in this embodiment, the grid under the specific scale is referred to as the first grid, and the data points where the three geographical locations are all located in the same first grid are referred to as the first data points.

[0032] Then, according to the number of the first data points screened out, the geographical distribution display of the uric acid data at the specific scale can be completed by the following two optional implementations: In a first optional implementation, if the number of first data points is greater than or equal to a set threshold, indicating that the number of first data points is sufficient to represent the distribution pattern of uric acid data at the current scale, the geographical distribution of uric acid data at the specific scale can be directly displayed based on these data points.

[0033] Optionally, for each first grid, the uric acid data in all first data points in the current first grid can be averaged as the uric acid data of the current first grid. Then, the uric acid data of each first grid is displayed in the multi-scale geographic grid base map in a visual manner. Exemplarily, different colors or shapes can be set for different uric acid data; at each first grid position in the multi-scale geographic grid base map, the color or shape corresponding to the uric acid data of each first grid is displayed.

[0034] In a second optional implementation, if the number of the first data points is less than the set threshold, indicating that the number of the first data points is not enough to represent the distribution law of uric acid data at the current scale, the data points can be further expanded to meet the data point number requirement. Specifically, the process may include the following steps: Step A: gradually expand the display scale starting from the specific scale, and after each expansion, select data points whose three geographical locations are located in the same grid at the current display scale, until the number of such data points at a certain display scale is greater than the set threshold. For the sake of distinction and description, in this embodiment, the grid at the display scale after each expansion is referred to as the second grid, and the data point whose three geographical locations are located in the same second grid is referred to as the second data point.

[0035] Step B: Display the geographical distribution of uric acid data under the certain display scale according to each second data point. After multiple expansions in step A, the final second data point is the second data point under the certain display scale. If the number of these second data points is large enough to represent the distribution law of uric acid data under the certain display scale, the geographical distribution of uric acid data under the certain display scale can be displayed according to these second points.

[0036] Optionally, for each second grid under the certain display scale, the uric acid data in all second data points in the current second grid can be averaged as the uric acid data of each second grid. Then, the uric acid data of each second grid is displayed in the multi-scale geographic grid base map in a visual manner. Exemplarily, different colors or shapes can be set for different uric acid data; at each second grid position in the multi-scale geographic grid base map, the color or shape corresponding to the uric acid data of each second grid is displayed.

[0037] Step C: Drill down the display results under the certain display scale according to the distribution of the geographical location of the data points in each first grid, and complete the display of the geographical distribution of uric acid data under the specific scale. This step expands other valid data points in the first grid according to the distribution of the geographical location of the original data points in each first grid, and displays the uric acid data under the specific scale together with the first data points. Optionally, the process may include the following steps: First, the number of data points with only two geographical locations in the same first grid and the number of data points with only one geographical location in the same first grid are screened. For the convenience of distinction and description, the above two types of data points are respectively referred to as third data points and fourth data points in this embodiment.

[0038] Then, according to the number of the third data points and the fourth data points in each first grid, the probability that there are other real geographical locations (called other valid data points) in each first grid in addition to the first data point is determined. Optionally, the probability cumulative value of each first grid is first calculated. ,in and are the number of the third data point and the fourth data point respectively; then, the r of all the first grids is normalized to the interval [0,1] to obtain the probability that each first grid has a real geographical location other than the first data point .

[0039] Finally, for each second grid, perform the following operations: S2-1, according to the probability of each first grid in the current second grid , the first grid within the current second grid is sampled until the number of samplings reaches another threshold. Optionally, the sampling can be a sampling with replacement, and the probability of each first grid is The higher it is, the more times it is drawn. This step uses the actual extraction action to simulate the actual occurrence of the probability event, and each time the first grid is extracted, it is deemed that there are other valid data points in the first grid. Furthermore, the other threshold represents the number of other valid data to be supplemented, which can be determined based on experience or based on the above-mentioned set threshold. Optionally, the number of data points to be supplemented can be obtained by subtracting the number of existing first data points from the set threshold, and the number of data points to be supplemented can be distributed to each second grid according to the ratio of the number of second data points in each second grid (the ratio represents the probability ratio of the existence of valid data points in each second grid) to obtain another threshold for each second grid. Exemplarily, the set threshold is 3000, the number of existing first data points is 2000, and 1000 data points need to be supplemented, and the ratio of the number of second data points in each second grid is r 1 :r 2 :…:r n , then 1000 is distributed to each second grid according to the following number , , …, , these numbers are the other thresholds corresponding to each second grid.

[0040] S2-2, according to the number of times each first grid is drawn and the uric acid data in the first data point in the current second grid, the uric acid data of the current second grid is allocated to each drawn first grid. Optionally, assuming that in S2-1, m first grids are drawn respectively, and the number of times they are drawn is c. 1 ,c 2 ,…,c m, and there are x first data points in the current second grid, among which the uric acid data are d 1 ,d 2 ,…,d x At the same time, the urea data of the current second grid (the uric acid data calculated in step B) is d, then the above variables satisfy the following relationship: (1) in, The meaning is: among the m first grids drawn, the i-th first grid drawn is assigned The value is Uric acid data. , , , All are known, and according to formula (1) we can calculate : (2) S2-3, average the uric acid data of all first data points in each first grid and the assigned uric acid data to obtain the uric acid data of each first grid. Specifically, for each first grid in the current second grid, perform the following operations respectively: Assume that the current first grid is assigned The value is uric acid data (when not assigned to uric acid data, ), and the first grid originally had The uric acid data in the first data point are ,… , then the uric acid data of the first grid for: (3) Through S2-1 to S2-3, drilling down of uric acid data from the second grid to the first grid is completed.

[0041] S2-4. Display the uric acid data of each first grid in the multi-scale geographic grid base map in a visual manner. Exemplarily, different colors or shapes can be set for different uric acid data; at each first grid position in the multi-scale geographic grid base map, the color or shape corresponding to the uric acid data of each first grid is displayed. Furthermore, in order to make the final display result more objective, the confidence of the current display result can also be calculated based on the number of supplemented data points and the number of original first data points, and the confidence and the current display result are provided together to the user who initiated the display request. For example, if the number of supplemented data points in the above process is e, and the number of original first data points is b, then the confidence can be b / (e+b).

[0042] In summary, the embodiment of the present invention provides a data display method for a gout detection hearing aid system that uses a sweat sensor to monitor uric acid levels in real time. The method protects the user's real geographical location by generating two false geographical locations in the same geographical grid at any scale. Since the arbitrary scale is randomly selected, the false geographical location is also randomly generated, which increases the difficulty for data thieves to determine the real geographical location, thereby achieving encryption of user data. At the same time, in order to minimize the impact of the encryption method on the display of the geographical location distribution of abnormal uric acid data on the central server side, this embodiment provides different display methods according to the display scale specified by the doctor or patient, and provides the confidence of the display result when necessary, thereby achieving the display of the geographical location distribution of uric acid data at any scale, and providing technical support for doctors or patients to view and analyze abnormal uric acid data.

[0043] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the technical solutions of the embodiments of the present invention.

Claims

1. A gout detection hearing aid system that uses a sweat sensor to monitor uric acid levels in real time, characterized in that: include: Hearing aids, including hearing aid chips; A flexible sweat sensor patch, comprising a sweat collection hole, a detection electrode and a microfluidic channel; wherein the outer side of the flexible sweat sensor patch is used to adhere to the skin behind the ear, and the inner side is adhered to the outer surface of the hearing aid, and is electrically connected to the hearing aid chip through a contact electrode; after the hearing aid is worn, the sweat of the skin behind the ear flows into the microfluidic channel through the sweat collection hole, and after the detection electrode applies an electric field, the uric acid level in the microfluidic channel is measured using Raman spectroscopy technology and transmitted to the hearing aid chip for processing; The disease monitoring system is used to record test data, analyze gout risks, and link the hearing aid to provide in-ear warning when the data is abnormal.

2. The gout detection hearing aid system for real-time monitoring of uric acid levels using a sweat sensor according to claim 1, characterized in that: The microfluidic channel substrate is a polydimethylsiloxane material, and the paper fluid with a silver nanowire layer is an enhanced substrate based on polydimethylsiloxane surface plasma; The microfluidic channel substrate is made into a spiral channel, and the sweat volume can be calculated through the state of the spiral microfluidic channel, and the SERS spectrum of the sweat can be obtained.

3. The gout detection hearing aid system for real-time monitoring of uric acid levels using a sweat sensor according to claim 1, characterized in that: When there is a detection requirement but the amount of sweat is insufficient to meet the detection state, a voltage is applied between the detection electrodes to generate a non-inductive current under the skin surface, thereby stimulating sweat secretion.

4. The gout detection hearing aid system for real-time monitoring of uric acid levels using a sweat sensor according to claim 1, characterized in that: The hearing aid also includes a microphone and a receiver. The microphone is used to acquire external sounds and transmit them to the hearing aid chip. The hearing aid chip is used to optimize the sounds. The receiver is used to output the optimized sounds to the user's ears.

5. The gout detection hearing aid system for real-time monitoring of uric acid levels using a sweat sensor according to claim 1, characterized in that: An exhaust hole is provided at the end of the microchannel, and the liquid in the microchannel generates gas through detection reaction and heating, and is discharged from the exhaust hole.

6. The gout detection hearing aid system for real-time monitoring of uric acid levels using a sweat sensor according to claim 1, characterized in that: The disease monitoring system includes a user terminal and a central server, wherein each user's user terminal is used to encrypt the detection data of each user and send it to the central server, and the central server is used to display the geographical distribution of the detection data based on the received data.

7. A data display method for a gout detection hearing aid system using a sweat sensor to monitor uric acid levels in real time, characterized in that: Applied to a disease monitoring system as described in any one of claims 1 to 6, wherein the disease monitoring system comprises a central server and a plurality of user terminals, and the central server and each user terminal have the same multi-scale geographic grid base map; The method comprises: Each user terminal records the user's geographical location when the user's uric acid level exceeds the healthy range, generates two other geographical locations in a geographical grid of any scale where the geographical location is located, and sends the three geographical locations and the corresponding uric acid data as a data point to the central server; The central server receives the data points sent by each user terminal and displays the geographical distribution of uric acid data at a specific scale based on each data point.

8. The method according to claim 7, characterized in that The display of the geographical distribution of uric acid data at a specific scale is completed according to each data point, including: Selecting, from the received data, three first data points whose geographical locations are all located in the same first grid at a specific scale; If the number of the first data points is greater than or equal to the set threshold, completing the display of the geographical distribution of the uric acid data at the specific scale according to each of the first data points; If the number of first data points is less than the set threshold, the display scale is gradually expanded starting from the specific scale, and after each expansion, three second data points whose geographical locations are located in the same second grid at the current display scale are screened until the number of second data points at a certain display scale is greater than the set threshold; based on the second data points at the certain display scale, the geographical distribution of uric acid data at the certain display scale is displayed; based on the distribution of the geographical locations in the data points in each first grid, the display results at the certain display scale are drilled down to complete the geographical distribution display of uric acid data at the specific scale.

9. The method according to claim 8, characterized in that The displaying of the geographical distribution of uric acid data at the certain display scale according to each second data point at the certain display scale includes: Averaging the uric acid data of all second data points in each second grid under the certain display scale to obtain the uric acid data of each second grid; Set different colors or shapes for different uric acid data; At each second grid position in the multi-scale geographic grid base map, the color or shape corresponding to the uric acid data of each second grid is displayed.

10. The method according to claim 8, characterized in that According to the distribution of the geographical locations of the data points in each first grid, drilling down the display results at the certain display scale to complete the display of the geographical distribution of the uric acid data at the specific scale includes: Filtering third data points having only two geographical locations within the same first grid and fourth data points having only one geographical location within the same first grid; Determining, based on the number of the third data points and the fourth data points in each first grid, the probability that each first grid has a real geographical location other than the first data point; For each second grid, perform the following operations: S2-1, sampling the first grids within the current second grid according to the probabilities of the first grids, until the number of samplings reaches another threshold; S2-2, according to the number of times each first grid is selected, and the uric acid data in the first data point in the current second grid, allocating the uric acid data of the current second grid to each selected first grid; S2-3, averaging the uric acid data in all first data points in each first grid and the allocated uric acid data to obtain the average of the uric acid data in each first grid; S2-4. Display the uric acid data of each first grid in the multi-scale geographic grid base map in a visual manner.

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