Hearing data processing method and system
By automatically comparing the hearing thresholds, we can determine whether the ear is in a abnormal state of noise, which solves the problem of inaccurate evaluation results caused by cumbersome manual calculations by medical diagnosticians, and achieves a more accurate and efficient listening evaluation.
Patent Information
- Application Number
- CN202411797062.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-09
- Publication Date
- 2025-03-04
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
When conducting hearing evaluation, medical diagnosticians need to manually correct and calculate different listening threshold values, which leads to cumbersome calculation process and inaccurate evaluation results.
By obtaining multiple hearing thresholds of the user, it is automatically compared with the preset hearing thresholds to determine whether the target ear is in a noise abnormality. Use automated calculation and judgment processes to reduce the influence of human factors and improve the accuracy of the evaluation results.
The automated listening evaluation process is realized, which reduces the cumbersomeness of manual operations, improves the accuracy of evaluation results, and can promptly feedback noise abnormalities, helps medical diagnosticians formulate effective treatment measures.
Smart Images
Figure CN119548126A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of occupational health examination, and in particular to a method and system for processing hearing data. Background Art
[0002] In industrial production scenarios, workers are continuously exposed to high-intensity noise environments, and the evolution path of their hearing loss is typically manifested as an initial increase in the high-frequency hearing threshold, the so-called high-frequency hearing loss. If intervention measures are not taken in time, this hearing loss will lead to a decline in speech frequency hearing. Once the hearing loss reaches the preset threshold standard, the condition can be defined as occupational deafness according to relevant regulations.
[0003] Relevant employers need to implement a regular and systematic occupational health examination mechanism for all workers who are at risk of exposure to occupational hazards. For workers who specialize in noise operations, hearing tests constitute an indispensable core element of the occupational health examination system, and are also a key diagnostic step in determining the severity of occupational noise-induced hearing loss. At present, based on the diagnosis of occupational noise-induced hearing loss, medical diagnostic personnel need to calibrate different hearing threshold values when conducting hearing assessments, and then use the corrected data to perform calculations one by one, and evaluate the patient's hearing condition based on the calculation results. The entire process relies on medical diagnostic personnel to perform it manually, and the calculation process is cumbersome, resulting in inaccurate hearing assessment results.
[0004] Therefore, there is an urgent need for a method and system for processing hearing data that can solve the above technical problems. Summary of the invention
[0005] The present application provides a method and system for processing hearing data. The method obtains multiple hearing thresholds of a first user, and then compares each hearing threshold with a preset hearing threshold, automatically determining whether the target ear of the first user is in an abnormal noise state. Through the automated calculation and judgment process, errors caused by human factors are avoided, thereby improving the accuracy of the evaluation results.
[0006] In a first aspect, the present application provides a method for processing hearing data, which is applied to a server, and the method includes: obtaining multiple hearing thresholds of a first user, the hearing threshold being a value obtained by a second user using an audiometer to perform a hearing test on a target ear of the first user, one hearing threshold corresponding to a result of a frequency test, and the target ear being either a left ear or a right ear; obtaining a first hearing threshold from multiple hearing thresholds; determining whether the first hearing threshold is greater than a preset hearing threshold; when the first hearing threshold is greater than the preset hearing threshold, confirming that the target ear corresponding to the first user is in an abnormal noise state, and sending the abnormal noise state to the second user so that the second user can formulate processing measures based on the abnormal noise state.
[0007] By adopting the above technical solution, an audiometer is used to automatically obtain multiple hearing thresholds of the first user, where the multiple hearing thresholds are test results for different frequencies. Then, a first hearing threshold is obtained from the multiple hearing thresholds, and the first hearing threshold is compared with a preset hearing threshold. When the first hearing threshold is greater than the preset hearing threshold, it is automatically determined that the target ear is in an abnormal noise state, and the abnormal noise state is fed back to the second user. The immediate feedback enables medical diagnostic personnel to determine the evaluation result of the first user's corresponding target ear, effectively solving the problem of cumbersome manual operations faced by medical diagnostic personnel when performing hearing assessments, which leads to inaccurate evaluation results.
[0008] Optionally, after obtaining the first hearing threshold from multiple hearing thresholds, the method also includes: obtaining identity information corresponding to the first user, the identity information including gender information and age information; determining a target condition according to the identity information, and determining a target correction table based on the target condition; querying a target error corresponding to a target frequency from the target correction table, the target frequency being the frequency corresponding to the first hearing threshold; and calculating the first hearing threshold and the target error to obtain a second hearing threshold.
[0009] By adopting the above technical solution, the identity information of the first user is obtained, the target condition is determined according to the identity information, the corresponding target correction table is found according to the target condition, and then the target error corresponding to the target frequency is found from the target correction table. This target error is a deviation based on the identity information of the first user. The first hearing threshold and the target error are calculated to obtain the second hearing threshold. The second hearing threshold can accurately reflect the user's actual hearing condition. The corrected second hearing threshold provides reliable data support for medical diagnostic personnel.
[0010] Optionally, after calculating the first hearing threshold and the target error to obtain the second hearing threshold, the method also includes: if the target ear is the left ear, obtaining multiple second hearing thresholds corresponding to the left ear, calculating the multiple second hearing thresholds to obtain the left ear threshold; if the target ear is the right ear, obtaining multiple second hearing thresholds corresponding to the right ear, calculating the multiple second hearing thresholds to obtain the right ear threshold; when the right ear threshold is less than the left ear threshold, confirming that the right ear threshold is output as the first hearing threshold.
[0011] By adopting the above technical solution, the hearing of the left ear and the right ear is evaluated respectively, and the obtained second hearing threshold is calculated in turn. After the left ear threshold and the right ear threshold are obtained, a decision is made by comparing the left ear threshold and the right ear threshold. When the left ear threshold is greater than the right ear threshold, the right ear threshold is selected as the final first hearing threshold for output. Selecting a smaller threshold for output can provide a more conservative evaluation result.
[0012] Optionally, determine whether the first hearing threshold is greater than a preset hearing threshold; specifically include: determine whether the first hearing threshold is less than a preset first hearing threshold, the preset hearing threshold includes a preset first hearing threshold; when the first hearing threshold is less than the preset first hearing threshold, confirming that the target ear corresponding to the first user is in a normal noise state.
[0013] By adopting the above technical solution, it is determined whether the first hearing threshold is less than the preset first hearing threshold. When the first hearing threshold is less than the preset first hearing threshold, it can be quickly confirmed that the target ear corresponding to the first user is in a normal noise state, which means that the hearing of the first user is in a normal state, thereby achieving quantitative evaluation and improving user experience.
[0014] Optionally, the abnormal noise state includes a mild noise state, a moderate noise state and a severe noise state. After determining whether the first hearing threshold is less than a preset first hearing threshold, the method also includes: when the first hearing threshold is greater than or equal to the preset first hearing threshold, and the first hearing threshold is less than or equal to the preset second hearing threshold, it is confirmed that the target ear corresponding to the first user is in a mild noise state, and the preset hearing threshold also includes a preset second hearing threshold; when the first hearing threshold is greater than the preset second hearing threshold, and the first hearing threshold is less than or equal to the preset third hearing threshold, it is confirmed that the target ear corresponding to the first user is in a moderate noise state, and the preset hearing threshold also includes a preset third hearing threshold; when the first hearing threshold is greater than the preset third hearing threshold, it is confirmed that the target ear corresponding to the first user is in a severe noise state.
[0015] By adopting the above technical solution, multiple preset hearing thresholds can be introduced, which can more carefully evaluate the noise status of the target ear. This detailed evaluation helps to more accurately understand the user's hearing loss and formulate more specific references for subsequent hearing protection measures. It can timely identify whether the first user is in a mild, moderate or severe noise state, provide early warnings for users, and encourage users to take corresponding intervention measures, which will help prevent further deterioration of hearing loss and protect the hearing health of the first user.
[0016] Optionally, when the first hearing threshold is greater than the preset hearing threshold, it is confirmed that the target ear corresponding to the first user is in an abnormal noise state, and the abnormal noise state is sent to the second user so that the second user can formulate treatment measures according to the abnormal noise state. The method also includes: obtaining a target set, the target set is a set of multiple second hearing thresholds of the target ear; determining whether there is a second hearing threshold greater than the preset threshold in the target set; if there is no second hearing threshold greater than the preset threshold in the target set, confirming that the corresponding hearing of the target ear is normal; if there is a second hearing threshold greater than the preset threshold in the target set, confirming that the corresponding hearing of the target ear is abnormal.
[0017] By adopting the above technical solution, multiple second hearing thresholds of the target ear can be collected and formed into a set, namely the target set. Then, it is determined whether there is a second hearing threshold greater than the preset threshold in the target set, so as to objectively determine whether there is hearing abnormality in the target ear. When there is no second hearing threshold greater than the preset threshold in the target set, it is quickly confirmed that the corresponding hearing of the target ear is normal. When there is a second hearing threshold greater than the preset threshold in the target set, it is determined that the corresponding hearing of the target ear is abnormal. The first user can be informed whether the hearing status of the corresponding target ear is normal, thereby increasing the first user's attention and participation in hearing health.
[0018] Optionally, the hearing abnormality includes high-frequency hearing abnormality, high-frequency hearing abnormality with speech frequency and speech frequency hearing abnormality. If there is a second hearing threshold greater than a preset threshold in the target set, the target ear is confirmed to have a hearing abnormality, which specifically includes: processing the target set according to the preset frequency to obtain a first subset and a second subset; judging whether there is a second hearing threshold greater than the preset threshold in the first subset, the first subset is a set of speech frequency hearing thresholds of the target ear; when there is no second hearing threshold greater than the preset threshold in the first subset, it is confirmed that the target ear corresponds to a high-frequency hearing abnormality; if there is a second hearing threshold greater than the preset threshold in the first subset, obtaining a first maximum value in the first subset and obtaining a second maximum value in the second subset; when the first maximum value is greater than or equal to the second maximum value, it is confirmed that the target ear corresponds to a speech frequency hearing abnormality; when the first maximum value is less than the second maximum value, it is confirmed that the target ear corresponds to a high-frequency hearing abnormality with speech frequency.
[0019] By adopting the above technical solution, the target set is subdivided into a first subset and a second subset, and judgment is made according to the preset threshold, so that the types of hearing abnormalities can be distinguished more finely, and speech frequency hearing abnormalities and high-frequency hearing abnormalities are considered separately, so that the main affected areas of hearing loss can be judged more accurately, and then according to different types of hearing abnormalities (speech frequency hearing abnormalities, high-frequency hearing abnormalities, or high-frequency hearing abnormalities accompanied by speech frequency hearing abnormalities), personalized assessment reports and intervention suggestions can be provided to users.
[0020] In a second aspect of the present application, a system for processing hearing data is provided, the system is a server, and the server includes an acquisition unit, a processing unit and a confirmation unit; the acquisition unit acquires multiple hearing thresholds of a first user, the hearing threshold is a value obtained by the second user using an audiometer to perform a hearing test on the target ear of the first user, one hearing threshold corresponds to the result of a frequency test, and the target ear is any one of the left ear or the right ear; the processing unit acquires a first hearing threshold from the multiple hearing thresholds; determines whether the first hearing threshold is greater than a preset hearing threshold; the confirmation unit confirms that the target ear corresponding to the first user is in an abnormal noise state when the first hearing threshold is greater than the preset hearing threshold, and sends the abnormal noise state to the second user so that the second user can formulate a treatment measure according to the abnormal noise state.
[0021] Optionally, the acquisition unit is used to obtain identity information corresponding to the first user, the identity information including gender information and age information; the processing unit is used to determine the target condition according to the identity information, and determine the target correction table based on the target condition; query the target error corresponding to the target frequency from the target correction table, the target frequency is the frequency corresponding to the first hearing threshold; calculate the first hearing threshold and the target error to obtain the second hearing threshold.
[0022] Optionally, the acquisition unit is used to obtain multiple second hearing thresholds corresponding to the left ear if the target ear is the left ear, and calculate the multiple second hearing thresholds to obtain the left ear threshold; if the target ear is the right ear, obtain multiple second hearing thresholds corresponding to the right ear, and calculate the multiple second hearing thresholds to obtain the right ear threshold; the processing unit is used to confirm that the right ear threshold is output as the first hearing threshold when the right ear threshold is less than the left ear threshold.
[0023] Optionally, the processing unit is used to determine whether the first hearing threshold is less than a preset first hearing threshold, where the preset hearing threshold includes a preset first hearing threshold; the confirmation unit is used to confirm that the target ear corresponding to the first user is in a normal noise state when the first hearing threshold is less than the preset first hearing threshold.
[0024] Optionally, the processing unit is used to confirm that the target ear corresponding to the first user is in a mild noise state when the first hearing threshold is greater than or equal to a preset first hearing threshold and the first hearing threshold is less than or equal to a preset second hearing threshold, and the preset hearing threshold also includes a preset second hearing threshold; the processing unit is used to confirm that the target ear corresponding to the first user is in a moderate noise state when the first hearing threshold is greater than the preset second hearing threshold and the first hearing threshold is less than or equal to a preset third hearing threshold, and the preset hearing threshold also includes a preset third hearing threshold; the processing unit is used to confirm that the target ear corresponding to the first user is in a severe noise state when the first hearing threshold is greater than the preset third hearing threshold.
[0025] Optionally, the acquisition unit is used to acquire a target set, which is a set of multiple second hearing thresholds of the target ear; the processing unit is used to determine whether there is a second hearing threshold greater than a preset threshold in the target set; the confirmation unit is used to confirm that the corresponding hearing of the target ear is normal if there is no second hearing threshold greater than the preset threshold in the target set; if there is a second hearing threshold greater than the preset threshold in the target set, confirm that the corresponding hearing of the target ear is abnormal.
[0026] Optionally, the processing unit is used to process the target set according to a preset frequency to obtain a first subset and a second subset; determine whether there is a second hearing threshold greater than a preset threshold in the first subset, and the first subset is a set of speech frequency hearing thresholds of the target ear; the confirmation unit is used to confirm that the target ear corresponds to a high-frequency hearing abnormality when there is no second hearing threshold greater than the preset threshold in the first subset; if there is a second hearing threshold greater than the preset threshold in the first subset, obtain a first maximum value in the first subset and obtain a second maximum value in the second subset; when the first maximum value is greater than or equal to the second maximum value, confirm that the target ear corresponds to a speech frequency hearing abnormality; when the first maximum value is less than the second maximum value, confirm that the target ear corresponds to a high-frequency hearing abnormality with speech frequency.
[0027] In a third aspect of the present application, an electronic device is provided, which includes a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory, so that an electronic device executes any one of the methods described above in the present application.
[0028] In a fourth aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores instructions, and when the instructions are executed, any one of the above methods of the present application is executed.
[0029] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. Use an audiometer to automatically obtain multiple hearing thresholds of the first user. The multiple hearing thresholds are test results for different frequencies. Then obtain a first hearing threshold from the multiple hearing thresholds, and compare the first hearing threshold with a preset hearing threshold. When the first hearing threshold is greater than the preset hearing threshold, automatically determine that the target ear is in an abnormal noise state, and feed back the abnormal noise state to the second user. The immediate feedback enables medical diagnostic personnel to determine the evaluation result of the first user's corresponding target ear, effectively solving the problem of cumbersome manual operations faced by medical diagnostic personnel when conducting hearing assessments, resulting in inaccurate evaluation results.
[0030] 2. Obtain the identity information of the first user, determine the target condition based on the identity information, find the corresponding target correction table based on the target condition, and then find the target error corresponding to the target frequency from the target correction table. This target error is a deviation based on the identity information of the first user. The first hearing threshold and the target error are calculated to obtain the second hearing threshold. The second hearing threshold can accurately reflect the user's actual hearing condition. The corrected second hearing threshold provides reliable data support for medical diagnostic personnel. BRIEF DESCRIPTION OF THE DRAWINGS
[0031] Figure 1 is a flowchart of a method for processing hearing data provided by an embodiment of the present application; Figure 2 is a structural diagram of a system for processing hearing data provided by an embodiment of the present application; Figure 3 It is a structural schematic diagram of an electronic device disclosed in an embodiment of the present application.
[0032] Explanation of the reference numerals: 201, acquisition unit; 202, processing unit; 203, confirmation unit; 300, electronic device; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. DETAILED DESCRIPTION
[0033] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.
[0034] In the description of the embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "for example" or "for example" is intended to present related concepts in a specific way.
[0035] In the description of the embodiments of the present application, the meaning of the term "multiple" refers to two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.
[0036] In industrial production scenarios, workers are continuously exposed to high-intensity noise environments, and the evolution path of their hearing loss is typically manifested as an initial increase in the high-frequency hearing threshold, the so-called high-frequency hearing loss. If intervention measures are not taken in time, this hearing loss will lead to a decline in speech frequency hearing. Once the hearing loss reaches the preset threshold standard, the condition can be defined as occupational deafness according to relevant regulations.
[0037] Relevant employers need to implement a regular and systematic occupational health examination mechanism for all workers who are at risk of exposure to occupational hazards. For workers who specialize in noise operations, hearing tests constitute an indispensable core element of the occupational health examination system, and are also a key diagnostic step in determining the severity of occupational noise-induced hearing loss. At present, based on the diagnosis of occupational noise-induced hearing loss, medical diagnostic personnel need to calibrate different hearing threshold values when conducting hearing assessments, and then use the corrected data to perform calculations one by one, and evaluate the patient's hearing condition based on the calculation results. The entire process relies on medical diagnostic personnel to perform it manually, and the calculation process is cumbersome, resulting in inaccurate hearing assessment results.
[0038] Therefore, how to avoid inaccurate evaluation results caused by manual calculation when medical diagnostic personnel conduct hearing evaluation on patients is an urgent problem to be solved. A method for processing hearing data provided in an embodiment of the present application is applied to a server. The server of the present application can be a platform that provides hearing evaluation services for the medical industry. Figure 1 is a flowchart of a method for processing hearing data provided by an embodiment of the present application, refer to Figure 1 The method includes the following steps S101-S104.
[0039] S101: Acquire multiple hearing thresholds of a first user, where the hearing thresholds are values obtained by a second user performing a hearing test on a target ear of the first user using an audiometer, and one hearing threshold corresponds to a result of a frequency test.
[0040] In the above S101, in this application, the hearing assessment is mainly performed on personnel in noise operations. The first user refers to the noise worker who is to undergo a hearing assessment, and the second user refers to a medical diagnostician. When the second user evaluates the hearing of the first user, he needs to prepare a professional audiometer, which is a basic tool for hearing detection. When performing a hearing test on the first user, it is necessary to select a test environment, and select a quiet, undisturbed environment for the test to ensure the accuracy of the test results. In order to ensure the accuracy of the hearing assessment results, the first user needs to remind the first user to perform the test 48 hours after leaving the noise environment before performing the hearing test. When the second user uses the audiometer to check the target ear of the first user for occupational noise deafness, the target ear refers to the left ear or the right ear. The detection usually covers multiple frequencies, and each frequency is used in turn to detect the target ear of the first user to obtain multiple hearing thresholds, and one frequency corresponds to one hearing threshold. The hearing threshold at each frequency can be recorded to form a set of multiple hearing thresholds. For example, when performing a hearing test on the first user, since the hearing test includes the left ear and the right ear, any one of the ears is tested first, and the first user's target ear is tested for pure tone hearing of three frequencies in the speech frequency band (500Hz, 1000Hz, 2000Hz) and three frequencies in the high frequency band (3000Hz, 4000Hz, 3000Hz), and six hearing thresholds are obtained. At this time, the six hearing thresholds refer to the hearing results corresponding to the target ear. After completing the hearing test of the target ear, the above test steps are used to test the other ear to obtain the corresponding hearing test threshold.
[0041] S102: Acquire a first hearing threshold from multiple hearing thresholds.
[0042] In the above S102, after the hearing test is performed on the target ear of the first user at different frequencies to obtain multiple hearing thresholds, the multiple hearing thresholds can be corrected according to the identity information of the first user to improve the accuracy and personalization of the hearing test.
[0043] In addition, the identity information corresponding to the first user is obtained, and the identity information includes gender information and age information; the target condition is determined according to the identity information, and the target correction table is determined based on the target condition; the target error corresponding to the target frequency is queried from the target correction table, and the target frequency is the frequency corresponding to the first hearing threshold; the first hearing threshold and the target error are calculated to obtain the second hearing threshold. Specifically, before the first user performs the hearing test, the identity information of the first user needs to be obtained by scanning the ID card and other identity authentication means. Gender information and age information are extracted from the collected information. This information is an important basis for the subsequent determination of the target correction table. According to the gender and age information, the target conditions are set. These conditions are based on statistical data in medical research or professional databases, and are used to distinguish the differences in hearing between people of different genders and age groups. Then, the set target conditions are used to view the corresponding target correction table in the pre-stored hearing correction table data. One target correction table corresponds to one target condition, and one target condition corresponds to one gender and age group. The target correction table contains hearing correction errors for people of different genders and age groups. Then query the target error corresponding to the target frequency from the target correction table. First, determine the frequency at which the first hearing threshold is measured. This frequency is the target frequency. In the target correction table found, find the corresponding hearing error value (also called correction factor or deviation) according to the target frequency. This error value reflects the difference between the hearing test results based on the user's gender and age and the standard hearing test results. Perform mathematical operations on the first hearing threshold and the queried target error. The purpose of this step is to correct the original hearing threshold to more accurately reflect the user's actual hearing condition. The value obtained after the correction calculation is the second hearing threshold. This value is more personalized than the original first hearing threshold, taking into account the user's gender and age factors.
[0044] For example, the first user is male and 36 years old; condition a is set as male and aged between 30 and 39 years old, condition b is set as male and aged between 40 and 49 years old, condition c is set as female and aged between 30 and 39 years old, and condition d is set as female and aged between 40 and 49 years old. The corresponding target condition is determined based on the identity information. At this time, condition a meets the identity information of the first user, so condition a is set as the target condition. When obtaining the target correction table corresponding to the target condition, the correction table corresponding to each frequency in condition a is obtained. When looking up the corresponding target error value from the target correction table, it is necessary to confirm the frequency corresponding to the hearing threshold to be corrected this time, because one hearing threshold corresponds to one frequency test. Therefore, the first hearing threshold is first obtained, the target frequency corresponding to the first hearing threshold is confirmed, and then the target error corresponding to the target frequency is queried from the correction table. The target errors of both ears at different frequencies are defined in the correction table. This application mainly uses 6 frequencies for hearing detection, so each frequency has its own corresponding error value. If the target frequency is 500 Hz, the error value 1 corresponding to 500 Hz is obtained, and the error value represents the difference between the hearing threshold and the correction value. Then the first hearing threshold is reduced by the target error value to obtain the second hearing threshold. In this application, the target error values corresponding to each frequency in different correction tables are different, and the target error values are set based on the identity information, which will not be described in detail here.
[0045] Further, the above correction process is used to correct multiple hearing thresholds in sequence to obtain multiple corrected second hearing thresholds. Then, the multiple corrected second hearing thresholds corresponding to the left ear and the right ear of the first user are respectively obtained, and the thresholds calculated for the right ear and the left ear are compared, and the smallest threshold is output as the first hearing threshold according to the comparison result, specifically including: if the target ear is the left ear, then the multiple second hearing thresholds corresponding to the left ear are obtained, and the multiple second hearing thresholds are calculated to obtain the left ear threshold; if the target ear is the right ear, then the multiple second hearing thresholds corresponding to the right ear are obtained, and the multiple second hearing thresholds are calculated to obtain the right ear threshold; when the right ear threshold is less than the left ear threshold, it is confirmed that the right ear threshold is output as the first hearing threshold. Specifically, it is necessary to first clarify whether the left ear or the right ear of the target user is the detection target. If the target ear is the left ear, multiple hearing thresholds of the left ear at different frequencies are obtained, and then the multiple hearing thresholds are corrected. The correction process is to determine the target condition based on the identity information of the first user, determine the target correction table according to the target condition, and then query the error values corresponding to different frequencies from the target correction table, and then calculate the different hearing thresholds and the error values in turn to obtain multiple corrected second hearing thresholds. After calculating the multiple second hearing thresholds, the hearing threshold of the left ear can be weighted to obtain the left ear threshold. The left ear threshold represents the calculation of multiple second hearing thresholds, that is, the left ear threshold LJ=(L1X+L2X+L3X)*0.3+L5X*0.1, where L1X, L2X, L3X and L5X represent the corrected hearing thresholds of the left ear at 500Hz, 1000Hz, 2000Hz and 4000Hz. Then calculate the right ear threshold according to the above method, that is, the right ear threshold RJ = (R1X + R2X + R3X) * 0.3 + R5X * 0.1, where R1X, R2X, R3X and R5X represent the corrected hearing thresholds of the right ear at 500 Hz, 1000 Hz, 2000 Hz and 4000 Hz. After obtaining the left ear threshold and the right ear threshold, compare the two values. If the right ear threshold is less than the left ear threshold, it means that the hearing condition of the right ear is relatively good or the degree of damage is relatively mild. Based on this judgment, the right ear threshold can be selected as the final hearing assessment result, that is, the first hearing threshold for output.
[0046] S103: Determine whether the first hearing threshold is greater than a preset hearing threshold.
[0047] In the above S103, after obtaining the first hearing threshold according to the above calculation process, it is determined whether the first hearing threshold is greater than the preset hearing threshold. The preset hearing threshold is the hearing threshold for judging noise-induced deafness in the medical standard. This preset hearing threshold is obtained based on the hearing test results of a large number of healthy people. Determine whether the first hearing threshold is greater than the preset hearing threshold; specifically include: determine whether the first hearing threshold is less than the preset first hearing threshold, the preset hearing threshold includes the preset first hearing threshold; when the first hearing threshold is less than the preset first hearing threshold, it is confirmed that the target ear corresponding to the first user is in a normal state in noise. Specifically, a preset first hearing threshold can be set, the preset first hearing threshold is the basis for evaluating the user's hearing results, the first hearing threshold indicates the degree of noise-induced deafness of the first user's target ear, and when the first hearing threshold is less than the preset first hearing threshold, it is confirmed that the target ear of the first user is in a normal state, that is, the hearing condition is normal and is not affected by the display of noise or other factors. Based on the above judgment result, it is confirmed that the target ear corresponding to the first user is in a normal state in noise. This state indicates that the user's hearing is healthy under the detection condition and does not require special attention or intervention. For example, when the first hearing threshold is 25, if the preset first hearing threshold is set to 26, when the first hearing threshold is less than the preset first hearing threshold, it is confirmed that the first user is in a normal noise state.
[0048] S104: When the first hearing threshold is greater than the preset hearing threshold, it is confirmed that the target ear corresponding to the first user is in an abnormal noise state, and the abnormal noise state is sent to the second user so that the second user can formulate processing measures according to the abnormal noise state.
[0049] In the above S104, when the first hearing threshold is greater than the preset hearing threshold, after confirming that the target ear corresponding to the first user is in an abnormal noise state, in order to further determine the different degrees of abnormal noise state of the first user, multiple preset hearing thresholds can be set to distinguish different degrees of hearing loss.
[0050] The abnormal noise state includes a mild noise state, a moderate noise state, and a severe noise state. After determining whether the first hearing threshold is less than the preset first hearing threshold, the method further includes: when the first hearing threshold is greater than or equal to the preset first hearing threshold, and the first hearing threshold is less than or equal to the preset second hearing threshold, it is confirmed that the target ear corresponding to the first user is in a mild noise state, and the preset hearing threshold also includes a preset second hearing threshold; when the first hearing threshold is greater than the preset second hearing threshold, and the first hearing threshold is less than or equal to the preset third hearing threshold, it is confirmed that the target ear corresponding to the first user is in a moderate noise state, and the preset hearing threshold also includes a preset third hearing threshold; when the first hearing threshold is greater than the preset third hearing threshold, it is confirmed that the target ear corresponding to the first user is in a severe noise state. Specifically, three different levels of preset hearing thresholds can be defined according to demand, namely, a preset first hearing threshold, a preset second hearing threshold, and a preset third hearing threshold. These thresholds are usually based on the hearing test results of a large number of healthy people and hearing-impaired people, and are used to distinguish different degrees of hearing loss. After obtaining the first hearing threshold, when the first hearing threshold is greater than or equal to the preset first hearing threshold and less than or equal to the preset second hearing threshold, it is confirmed that the target ear corresponding to the first user is in a mild noise state. When the first hearing threshold is greater than the preset second hearing threshold and less than or equal to the preset third hearing threshold, it is confirmed that the target ear corresponding to the first user is in a moderate noise state. When the first hearing threshold is greater than the preset third hearing threshold, it is confirmed that the target ear corresponding to the first user is in a severe noise state. The judgment result (i.e., the noise state of the target ear) is recorded. According to the judgment result, feedback is provided to the second user. The feedback content may include the hearing state of the first user, the specific results of the test, and the recommended follow-up actions (such as further inspection, hearing protection suggestions, etc.). The abnormal noise state is sent to the second user in an appropriate manner (such as SMS, email, application notification, etc.). The notification should contain clear information, such as which ear is affected, the specific value of the hearing threshold, and the recommended treatment measures. After receiving the notification, the second user can formulate corresponding treatment measures according to the actual situation, such as suggesting that the first user seek medical examination, wear hearing aids, avoid further exposure to the noise environment, etc. For example, if the first hearing threshold is 27, the preset first hearing threshold is set to 26, and the preset second hearing threshold is set to 40. When the first hearing threshold is greater than the preset first hearing threshold and less than the preset second hearing threshold, it is confirmed that the first user corresponds to mild noise-induced hearing loss. Since the first hearing threshold is a smaller value output by comparing the left ear threshold with the right ear threshold, it means that the first user is mildly noise-induced hearing loss. If the first hearing threshold is 42, the preset third hearing threshold is set to 55. If the first hearing threshold is greater than the preset second hearing threshold and less than the preset third hearing threshold, it is confirmed that the first user corresponds to moderate noise abnormality.
[0051] In addition, after determining that the target ear of the first user is in an abnormal noise state, it is necessary to analyze the hearing loss of each of the first user's ears to obtain a detailed diagnosis result, specifically including: obtaining a target set, which is a set of multiple second hearing thresholds of the target ear; judging whether there is a second hearing threshold greater than a preset threshold in the target set; if there is no second hearing threshold greater than the preset threshold in the target set, it is confirmed that the target ear corresponds to normal hearing; if there is a second hearing threshold greater than the preset threshold in the target set, it is confirmed that the target ear corresponds to abnormal hearing. Specifically, it is necessary to collect the hearing test results of the target ear at multiple different frequencies, and then correct the multiple hearing test results to obtain multiple second hearing thresholds, and organize the collected multiple second hearing thresholds into a set, which is the target set. Each element in the target set represents the corrected hearing threshold corresponding to the target ear at a certain frequency. A preset threshold needs to be set first, which is set based on medical research and is used to distinguish normal hearing from abnormal hearing. The preset threshold is single. Next, traverse each second hearing threshold in the target set and compare it with the preset threshold. For each element in the set (i.e., each second hearing threshold), check whether it is greater than the preset threshold. If any element meets this condition, proceed to the next step. If after traversing the entire target set, no second hearing threshold greater than the preset threshold is found, then it can be confirmed that the target ear has normal hearing. This means that the hearing of the target ear at all detected frequencies is within the normal range. If a second hearing threshold greater than the preset threshold is found in the target set, it is necessary to confirm that the target ear has abnormal hearing. This may mean that the target ear has hearing loss or abnormality at at least one detected frequency.
[0052] Further, if there is a second hearing threshold greater than a preset threshold in the target set, it is confirmed that the target ear corresponds to hearing abnormality, specifically including: hearing abnormality includes high-frequency hearing abnormality, high-frequency hearing abnormality with speech frequency, and speech frequency hearing abnormality. If the target set is processed according to the preset frequency, a first subset and a second subset are obtained; it is determined whether there is a second hearing threshold greater than the preset threshold in the first subset, and the first subset is a set of speech frequency hearing thresholds of the target ear; when there is no second hearing threshold greater than the preset threshold in the first subset, it is confirmed that the target ear corresponds to high-frequency hearing abnormality; if there is a second hearing threshold greater than the preset threshold in the first subset, the first maximum value in the first subset is obtained, and the second maximum value in the second subset is obtained; when the first maximum value is greater than or equal to the second maximum value, it is confirmed that the target ear corresponds to speech frequency hearing abnormality; when the first maximum value is less than the second maximum value, it is confirmed that the target ear corresponds to high-frequency hearing abnormality with speech frequency. Specifically, the preset frequency is used to distinguish different hearing areas (such as speech frequency area and high frequency area). The speech frequency area usually refers to the frequency range most commonly used in people's daily communication, while the high frequency area covers a higher frequency range. According to the preset frequency, the target set (i.e., the set of multiple second hearing thresholds of the target ear) is divided into two subsets: the first subset and the second subset. The first subset contains all hearing thresholds belonging to the speech frequency area, while the second subset contains all hearing thresholds belonging to the high frequency area. Traverse the first subset (the set of speech frequency hearing thresholds) and compare each hearing threshold therein with the preset threshold. If there is no second hearing threshold greater than the preset threshold in the first subset, proceed to the next step of judgment; if there is, continue processing according to the subsequent process. Since there is a second hearing threshold greater than the preset threshold in the target set, there is no second hearing threshold greater than the preset threshold in the first subset, but there is a second hearing threshold greater than the preset threshold in the second subset, it can be indirectly inferred that the target ear may have hearing abnormalities in the high frequency area (because the speech frequency area is normal, but the total set may contain abnormal values in the high frequency area). It can be directly understood as "if the speech frequency area is normal, but there are abnormal values in the target set, then further check the high frequency area". However, according to the given steps, the high frequency hearing abnormality is confirmed. If there is a second hearing threshold greater than the preset threshold in the first subset, it means that there may be hearing abnormalities in the speech frequency area. At this time, it is necessary to further analyze the maximum values in the two subsets. Get the first maximum value in the first subset (speech frequency area) and the second maximum value in the second subset (high frequency area) respectively. Compare the first maximum value with the second maximum value. If the first maximum value is greater than or equal to the second maximum value, and it is known that there is a hearing threshold greater than the preset threshold in the first subset, then it can be confirmed that the target ear has hearing abnormalities corresponding to the speech frequency. If the first maximum value is less than the second maximum value, even if there is an abnormality in the speech frequency area (because there is a value greater than the preset threshold in the first subset), the abnormality in the high frequency area is more significant (because the maximum value is larger).Therefore, it is confirmed that the target ear has abnormal hearing in the high-frequency and speech frequency, that is, there is abnormal hearing in both the high-frequency area and the speech frequency area. After checking the other ear of the first user in the above manner and obtaining the corresponding hearing test results, the hearing test results corresponding to the left ear and the right ear are summarized. If the hearing test results of the left ear and the right ear are the same, the normal or abnormal hearing of both ears is output. If the hearing test results of the left ear and the right ear are different, the hearing status corresponding to the left and right ears is output in turn.
[0053] Through the above method, the data can be automatically corrected and calculated, and based on the calculation results, the hearing loss degree of the first user can be automatically determined, and the corresponding hearing assessment results can be output based on the determination results, so that medical diagnostic personnel can take corresponding treatment measures for the first user based on the hearing assessment results, which is helpful for early detection and intervention of hearing problems.
[0054] The present application also provides a system for processing hearing data. Figure 2 is a structural diagram of a system for processing hearing data provided by an embodiment of the present application, with reference to Figure 2 The system is a server, and the server includes an acquisition unit 201, a processing unit 202 and a confirmation unit 203.
[0055] The acquisition unit 201 acquires multiple hearing thresholds of the first user, where the hearing threshold is a value obtained by the second user using an audiometer to perform a hearing test on a target ear of the first user, one hearing threshold corresponds to a result of a frequency test, and the target ear is any one of the left ear or the right ear.
[0056] The processing unit 202 obtains a first hearing threshold from a plurality of hearing thresholds; and determines whether the first hearing threshold is greater than a preset hearing threshold.
[0057] The confirmation unit 203 confirms that the target ear corresponding to the first user is in an abnormal noise state when the first hearing threshold is greater than the preset hearing threshold, and sends the abnormal noise state to the second user so that the second user can formulate processing measures according to the abnormal noise state.
[0058] In a possible implementation, the acquisition unit 201 is used to obtain identity information corresponding to the first user, where the identity information includes gender information and age information; the processing unit 202 is used to determine a target condition according to the identity information, and determine a target correction table based on the target condition; query the target error corresponding to the target frequency from the target correction table, where the target frequency is the frequency corresponding to the first hearing threshold; and calculate the first hearing threshold and the target error to obtain a second hearing threshold.
[0059] In a possible implementation, the acquisition unit 201 is used to, if the target ear is the left ear, acquire multiple second hearing thresholds corresponding to the left ear, calculate the multiple second hearing thresholds, and obtain the left ear threshold; if the target ear is the right ear, acquire multiple second hearing thresholds corresponding to the right ear, calculate the multiple second hearing thresholds, and obtain the right ear threshold; the processing unit 202 is used to confirm that the right ear threshold is output as the first hearing threshold when the right ear threshold is less than the left ear threshold.
[0060] In a possible implementation, the processing unit 202 is used to determine whether the first hearing threshold is less than a preset first hearing threshold, where the preset hearing threshold includes a preset first hearing threshold; the confirmation unit 203 is used to confirm that the target ear corresponding to the first user is in a normal noise state when the first hearing threshold is less than the preset first hearing threshold.
[0061] In a possible implementation, the processing unit 202 is used to confirm that the target ear corresponding to the first user is in a mild noise state when the first hearing threshold is greater than or equal to a preset first hearing threshold and the first hearing threshold is less than or equal to a preset second hearing threshold, and the preset hearing threshold also includes a preset second hearing threshold; the processing unit 202 is used to confirm that the target ear corresponding to the first user is in a moderate noise state when the first hearing threshold is greater than the preset second hearing threshold and the first hearing threshold is less than or equal to a preset third hearing threshold, and the preset hearing threshold also includes a preset third hearing threshold; the processing unit 202 is used to confirm that the target ear corresponding to the first user is in a severe noise state when the first hearing threshold is greater than the preset third hearing threshold.
[0062] In one possible implementation, the acquisition unit 201 is used to acquire a target set, which is a set of multiple second hearing thresholds of a target ear; the processing unit 202 is used to determine whether there is a second hearing threshold greater than a preset threshold in the target set; the confirmation unit 203 is used to confirm that the corresponding hearing of the target ear is normal if there is no second hearing threshold greater than the preset threshold in the target set; and confirm that the corresponding hearing of the target ear is abnormal if there is a second hearing threshold greater than the preset threshold in the target set.
[0063] In a possible implementation, the processing unit 202 is used to process the target set according to a preset frequency to obtain a first subset and a second subset; determine whether there is a second hearing threshold greater than a preset threshold in the first subset, and the first subset is a set of speech frequency hearing thresholds of the target ear; the confirmation unit 203 is used to confirm that the target ear corresponds to a high-frequency hearing abnormality when there is no second hearing threshold greater than the preset threshold in the first subset; if there is a second hearing threshold greater than the preset threshold in the first subset, obtain a first maximum value in the first subset and obtain a second maximum value in the second subset; when the first maximum value is greater than or equal to the second maximum value, confirm that the target ear corresponds to a speech frequency hearing abnormality; when the first maximum value is less than the second maximum value, confirm that the target ear corresponds to a high-frequency hearing abnormality with speech frequency.
[0064] It should be noted that: when the system provided in the above embodiment realizes its functions, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the system and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.
[0065] The present application also discloses an electronic device. Figure 3 , Figure 3 The electronic device 300 may include: at least one processor 301 , at least one network interface 304 , a user interface 303 , a memory 305 , and at least one communication bus 302 .
[0066] The communication bus 302 is used to realize the connection and communication between these components.
[0067] The user interface 303 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 303 may also include a standard wired interface and a wireless interface.
[0068] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).
[0069] Among them, the processor 301 may include one or more processing cores. The processor 301 uses various interfaces and lines to connect various parts in the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 305, and calling data stored in the memory 305. Optionally, the processor 301 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 301 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application requests; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 301, and it can be implemented separately through a chip.
[0070] Among them, the memory 305 may include a random access memory (RAM) or a read-only memory (Read-Only Memory). Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area. Instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc. can be stored; the data storage area can store data involved in the above-mentioned various method embodiments, etc. The memory 305 can also be optionally at least one storage device located away from the aforementioned processor 301.
[0071] like Figure 3 As shown, the memory 305 as a computer storage medium may include an operating system, a network communication module, a user interface module, and an application program for processing hearing data.
[0072] exist Figure 3In the electronic device 300 shown, the user interface 303 is mainly used to provide an input interface for the user and obtain data input by the user; and the processor 301 can be used to call the application program for processing hearing data stored in the memory 305. When executed by one or more processors, the electronic device executes one or more methods described in the above embodiments.
[0073] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the order of the actions described, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.
[0074] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.
[0075] In the several embodiments provided in the present application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.
[0076] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0077] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.
[0078] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.
[0079] The above is only an exemplary embodiment of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and practice, it will be easy for those skilled in the art to think of other embodiments of the present disclosure. This application is intended to cover any variation, use or adaptive change of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the technical field not recorded in the present disclosure.
Claims
1. A method for processing hearing data, characterized in that: Applied in a server, the method comprises: Acquire multiple hearing thresholds of the first user, where the hearing thresholds are values obtained by the second user using an audiometer to perform a hearing test on a target ear of the first user, one hearing threshold corresponds to a result of a frequency test, and the target ear is any one of the left ear or the right ear; Acquire a first hearing threshold from the plurality of hearing thresholds; Determining whether the first hearing threshold is greater than a preset hearing threshold; When the first hearing threshold is greater than the preset hearing threshold, it is confirmed that the target ear corresponding to the first user is in an abnormal noise state, and the abnormal noise state is sent to the second user so that the second user can formulate processing measures according to the abnormal noise state.
2. The method according to claim 1, characterized in that After acquiring the first hearing threshold from the plurality of hearing thresholds, the method further includes: Obtaining identity information corresponding to the first user, where the identity information includes gender information and age information; determining a target condition according to the identity information, and determining a target correction table based on the target condition; querying a target error corresponding to a target frequency from the target correction table, wherein the target frequency is a frequency corresponding to the first hearing threshold; The first hearing threshold and the target error are calculated to obtain a second hearing threshold.
3. The method according to claim 2, characterized in that After calculating the first hearing threshold and the target error to obtain a second hearing threshold, the method further includes: If the target ear is the left ear, obtaining a plurality of the second hearing thresholds corresponding to the left ear, and calculating the plurality of the second hearing thresholds to obtain a left ear threshold; If the target ear is the right ear, obtaining a plurality of the second hearing thresholds corresponding to the right ear, and calculating the plurality of the second hearing thresholds to obtain a right ear threshold; When the right ear threshold is smaller than the left ear threshold, it is determined that the right ear threshold is output as the first hearing threshold.
4. The method according to claim 1, characterized in that: The determining whether the first hearing threshold is greater than a preset hearing threshold specifically includes: determining whether the first hearing threshold is less than a preset first hearing threshold, wherein the preset hearing threshold includes the preset first hearing threshold; When the first hearing threshold is less than the preset first hearing threshold, it is confirmed that the target ear corresponding to the first user is in a normal noise state.
5. The method according to claim 4, characterized in that The abnormal noise state includes a mild noise state, a moderate noise state, and a severe noise state. After determining whether the first hearing threshold is less than a preset first hearing threshold, the method further includes: When the first hearing threshold is greater than or equal to the preset first hearing threshold, and the first hearing threshold is less than or equal to the preset second hearing threshold, it is confirmed that the target ear corresponding to the first user is in the mild noise state, and the preset hearing threshold also includes the preset second hearing threshold; When the first hearing threshold is greater than the preset second hearing threshold, and the first hearing threshold is less than or equal to a preset third hearing threshold, it is confirmed that the target ear corresponding to the first user is in the moderate noise state, and the preset hearing threshold also includes the preset third hearing threshold; When the first hearing threshold is greater than the preset third hearing threshold, it is confirmed that the target ear corresponding to the first user is in the severe noise state.
6. The method according to claim 2, characterized in that When the first hearing threshold is greater than the preset hearing threshold, it is confirmed that the target ear corresponding to the first user is in an abnormal noise state, and the abnormal noise state is sent to the second user so that the second user formulates a processing measure according to the abnormal noise state, the method further includes: Acquire a target set, where the target set is a set of multiple second hearing thresholds of the target ear; Determining whether there is a second hearing threshold greater than a preset threshold in the target set; If there is no second hearing threshold greater than the preset threshold in the target set, confirming that the hearing corresponding to the target ear is normal; If there is a second hearing threshold greater than the preset threshold in the target set, it is confirmed that the target ear corresponds to hearing abnormality.
7. The method according to claim 6, characterized in that The hearing abnormality includes high-frequency hearing abnormality, high-frequency hearing abnormality with speech frequency, and speech frequency hearing abnormality. If there is a second hearing threshold greater than the preset threshold in the target set, then confirming that the target ear corresponds to the hearing abnormality specifically includes: Processing the target set according to a preset frequency to obtain a first subset and a second subset; Determine whether there is a second hearing threshold greater than the preset threshold in the first subset, the first subset being a set of speech frequency hearing thresholds of the target ear; When there is no second hearing threshold greater than the preset threshold in the first subset, it is confirmed that the target ear corresponds to the high-frequency hearing abnormality; If there is a second hearing threshold greater than the preset threshold in the first subset, obtaining a first maximum value in the first subset, and obtaining a second maximum value in the second subset; When the first maximum value is greater than or equal to the second maximum value, it is confirmed that the target ear has hearing abnormality corresponding to the speech frequency; When the first maximum value is smaller than the second maximum value, it is confirmed that the target ear has hearing abnormality corresponding to the high-frequency and speech frequency.
8. A system for processing hearing data, characterized in that: The system is a server, and the server comprises an acquisition unit (201), a processing unit (202) and a confirmation unit (203); The acquisition unit (201) acquires a plurality of hearing thresholds of the first user, the hearing thresholds being values obtained by the second user using an audiometer to perform a hearing test on a target ear of the first user, one hearing threshold corresponding to a result of a frequency test, and the target ear being any one of the left ear or the right ear; The processing unit (202) acquires a first hearing threshold from the plurality of hearing thresholds; and determines whether the first hearing threshold is greater than a preset hearing threshold; The confirmation unit (203) confirms that the target ear corresponding to the first user is in an abnormal noise state when the first hearing threshold is greater than the preset hearing threshold, and sends the abnormal noise state to the second user so that the second user can formulate a treatment measure according to the abnormal noise state.
9. An electronic device, characterized in that: The electronic device (300) comprises a processor (301), a memory (305), a user interface (303) and a network interface (304), wherein the memory (305) is used to store instructions, the user interface (303) and the network interface (304) are used to communicate with other devices, and the processor (301) is used to execute the instructions stored in the memory (305) so that the electronic device (300) executes the method according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed, the method according to any one of claims 1 to 7 is executed.