Detection device capable of supporting automatic hearing test and use method thereof

Abstract

The invention relates to the technical field of hearing testing devices, in particular to a testing device capable of supporting automatic hearing testing and a using method of the testing device capable of supporting automatic hearing testing. A man-machine interaction module; the data acquisition module is used for generating an audiogram and hearing loss degree data according to the sound signal generated by the audio generation module and the response data of the subject; the storage module is used for storing and uploading the current test data and synchronizing with the cloud to read the historical data of the subject; the processor is used for comparing the historical data read by the storage module with the subject data input by the man-machine interaction module and the audiogram and hearing loss degree data generated by the data acquisition module, and adjusting the sound signal generated by the audio generation module; the data acquisition module supplements the missing part of the current audiogram and the hearing loss degree data or determines different parts again, and then the corresponding type is compared according to the existing case record and a report is generated.

Description

Technical Field

[0001] The present invention relates to the technical field of hearing detection devices, and particularly to a detection device capable of supporting automatic hearing tests and its usage method. Background Art

[0002] Traditional audiometers are mainly used to test the hearing thresholds of patients through sound signals of different frequencies and sound pressures. However, their functions are limited to the data acquisition stage and rely on professionals to manually judge the results. Therefore, the following problems exist:

[0003] 1. Inefficient data management: The test results rely on paper or scattered electronic records, making it difficult to track the hearing changes of subjects in the long term. Moreover, each hearing test requires re - debugging, which may not be suitable for some subjects with special and frequently changing hearing conditions.

[0004] 2. High subjectivity in analysis: Differences in user experience may lead to misjudgment of results, and it is impossible to quickly refer to case records in a timely manner. In addition, the analysis takes a long time, and changes in the subject's environment, age, and responses during the test will all affect the results.

[0005] 3. Insufficient remote support: It is impossible to achieve cloud synchronization and remote analysis of data, and non - professionals cannot obtain the true hearing conditions and problems based on the test results.

[0006] In the prior art, although some audiometers support electronic storage, they lack intelligent analysis functions and do not solve problems such as remote use by non - professionals and multi - scenario adaptation. Therefore, there is an urgent need for a hearing device that integrates data management and automatic analysis. Summary of the Invention

[0007] In order to solve the above problems existing in the prior art, one of the objectives of the present invention is to provide a detection device capable of supporting automatic hearing tests. This device supports data storage, intelligent analysis, and automatic report generation, realizing the integration of detection, storage, and analysis, improving the test efficiency, and reducing repetitive work. Another objective of the present invention is to provide a usage method for the detection device capable of supporting automatic hearing tests, which further reduces the contingency caused by changes during the hearing detection of subjects and improves the accuracy of automatic hearing tests.

[0008] The detection device capable of supporting automatic hearing tests according to the present invention includes a main unit and earphones. The main unit is provided with:

[0009] An audio generation module, connected to the earphones, for generating pure - tone or voice signals of different frequencies and sound pressures;

[0010] A human - machine interaction module, connected to the audio generation module, for inputting subject data, selecting test modes, and obtaining response data of the subject to the sound signals;

[0011] A data acquisition module, which is respectively connected to the audio generation module and the human-computer interaction module, generates an audiogram and hearing loss degree data according to the sound signal generated by the audio generation module and the response data of the subject.

[0012] A storage module, which is connected to the data acquisition module, is used to store and upload current test data, and synchronize with the cloud to read the historical data of the subject.

[0013] A processor, which is respectively connected to the audio generation module, the human-computer interaction module, the data acquisition module and the storage module, is used to compare the historical data read by the storage module with the subject data input by the human-computer interaction module and the audiogram and hearing loss degree data generated by the data acquisition module, adjust the sound signal generated by the audio generation module, so that the data acquisition module supplements the missing part of the current audiogram and hearing loss degree data or re-determines different parts, and then compares the corresponding types according to the existing case records and generates a report.

[0014] In one embodiment, the processor includes:

[0015] A data preprocessing module, which is respectively connected to the storage module and the audio generation module, is used to preset the frequency range and amplitude when the audio generation module generates a sound signal according to the historical data read by the storage module.

[0016] An intelligent analysis module, which is respectively connected to the human-computer interaction module, the data acquisition module and the storage module, is used for data comparison and type analysis to improve the audiogram and hearing loss degree data of the subject.

[0017] A report generation module, which is respectively connected to the intelligent analysis module and the data acquisition module, is used to generate a report including an audiogram, hearing loss degree and recommended solutions.

[0018] In one embodiment, the intelligent analysis module includes a preset rule library and a machine learning model. The rule library presets hearing loss determination rules, and the machine learning model learns hearing loss patterns through historical data to assist in type analysis.

[0019] In one embodiment, a noise filtering module is further provided between the audio generation module and the processor. The noise filtering module is used to adjust the frequency range and amplitude preset by the processor according to the environmental noise sensed by the sensor.

[0020] In one embodiment, the storage module is connected to a data encryption module, which is used to encrypt and anonymize all data of the subject.

[0021] In one embodiment, the storage module is further connected to a communication module, which is used to provide a review report to professionals through a cloud platform and add annotations.

[0022] In one embodiment, the earphone is a noise-canceling earphone, and the earphone is connected to the audio generation module in a wired or wireless manner.

[0023] The usage method of the detection device capable of supporting automatic hearing tests according to the present invention includes the following steps:

[0024] S1. The subject wears the earphone and inputs personal information and selects a test type through the human-computer interaction module;

[0025] S2. The processor sets the frequency range and amplitude of the hearing test according to the historical data read from the storage module, and enables the audio generation module to output a hearing test sound signal to the earphone;

[0026] S3. The subject responds on the human-computer interaction module according to the heard sound. The data acquisition module generates an audiogram and hearing loss degree data, and compares them with the historical data read from the storage module in the processor. According to the missing parts of the current audiogram and hearing loss degree data and the parts different from the historical data, the frequency range and amplitude of the hearing test are set again, and the audio generation module outputs a hearing test sound signal with the changed set value to the earphone again;

[0027] S4. After the current audiogram and hearing loss degree data are completed and determined, the processor compares the corresponding type according to the existing case records and generates a report, which is recorded in the storage module.

[0028] In one embodiment, before the step S2, the audio generation module outputs a pure tone or voice signal of the frequency and sound pressure that the subject can hear according to the historical data to test and determine the response time of the subject.

[0029] In one embodiment, in the step S4, the report generated by the processor is uploaded to the cloud through the storage module, and after being reviewed by professionals and adding annotations, it is fed back to the storage module for recording.

[0030] Compared with the prior art, the beneficial effects of the technical solution of the present invention are:

[0031] The device of the present invention is based on an intelligent data management architecture and innovatively constructs a series of hearing test systems for detection, storage, and analysis, supporting data storage, intelligent analysis, and automatic report generation. At the data storage level, it has the function of synchronizing with the cloud to obtain historical data for comparison, reflecting the changes in the hearing tests of the subjects. The processor ensures the non-accidental nature of the test results by changing the preset values, and by comparing with the existing case records, a rough analysis result can be obtained. It is applicable to non-professionals for a simple understanding of their own hearing conditions, and is applicable to scenarios such as clinical hearing tests, health screenings, and remote analysis, improving the test efficiency and reducing repetitive work.

[0032] The method of the present invention further reduces the accidental errors caused by factors such as environmental noise, attention fluctuations, or physiological state changes during the hearing detection process of the subjects through historical data comparison and the improvement of multiple hearing tests. The method also optimizes the test process by analyzing historical data to ensure consistent and reliable hearing thresholds can be obtained in different test environments, which helps in the early detection and intervention of hearing impairments and improves the hearing health management level of the subjects. Description of the Drawings

[0033] Figure 1 is a schematic structural diagram of the detection device that can support automatic hearing tests of the present invention;

[0034] Figure 2 is a schematic diagram of the module connection of the detection device that can support automatic hearing tests of the present invention;

[0035] Figure 3 is a flowchart of the usage method of the detection device that can support automatic hearing tests of the present invention.

[0036] Description of the reference numerals: 1 - main unit, 2 - earphone, 3 - audio generation module, 4 - human-computer interaction module, 5 - data acquisition module, 6 - storage module, 7 - processor, 71 - data preprocessing module, 72 - intelligent analysis module, 73 - report generation module, 8 - noise filtering module, 9 - data encryption module, 10 - communication module. Detailed Embodiments

[0037] The drawings are only for illustrative purposes and should not be construed as a limitation to this patent; for a better illustration of this embodiment, some components in the drawings will be omitted, enlarged, or reduced, and do not represent the dimensions of the actual product; for those skilled in the art, it is understandable that some well-known structures and their descriptions in the drawings may be omitted.

[0038] In the description of the present invention, it should be noted that unless otherwise clearly specified and limited, the terms "installation" and "connection" 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 directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations. The technical solutions of the present invention will be further described below with reference to the drawings and embodiments.

[0039] As Figure 1 and Figure 2 shown, the detection device capable of supporting automatic hearing tests of the present invention includes a main unit 1 and earphones 2. The main unit 1 is provided with:

[0040] An audio generation module 3, connected to the earphones 2, for generating pure tone or voice signals with different frequencies and sound pressures;

[0041] A human-computer interaction module 4, connected to the audio generation module 3, for inputting subject data, selecting a test mode, and obtaining the response data of the subject to the sound signal;

[0042] A data acquisition module 5, respectively connected to the audio generation module 3 and the human-computer interaction module 4, and generating an audiogram and hearing loss degree data according to the sound signal generated by the audio generation module 3 and the response data of the subject;

[0043] A storage module 6, connected to the data acquisition module 5, for storing and uploading the current test data, and synchronizing with the cloud to read the historical data of the subject;

[0044] A processor 7, respectively connected to the audio generation module 3, the human-computer interaction module 4, the data acquisition module 5, and the storage module 6, for comparing the historical data read by the storage module 6 with the subject data input by the human-computer interaction module 4 and the audiogram and hearing loss degree data generated by the data acquisition module 5, adjusting the sound signal generated by the audio generation module 3, so that the data acquisition module 5 supplements the missing part of the current audiogram and hearing loss degree data or re-determines different parts, and then comparing the corresponding types according to the existing case records and generating a report.

[0045] The device of the present invention has a compact structure and reasonable connections. Based on an intelligent data management architecture, it innovatively constructs a series of hearing test systems for detection, storage, and analysis, supporting data storage, intelligent analysis, and automatic report generation. At the data storage level, the connection between the storage module 6 and the processor 7 enables the device to have the function of synchronizing with the cloud to obtain historical data for comparison. When the audio generation module 3 generates test sound signals, it can refer to the historical data of the subject to reflect the changes in the subject's hearing test. Moreover, during the comparison process, the processor 7 can ensure the non-accidental nature of the test results by changing the preset values, and by comparing with existing case records, it can obtain more accurate analysis results of the hearing test. It is applicable to non-professionals for a simple understanding of their own hearing conditions, and is applicable to scenarios such as clinical hearing tests, health screenings, and remote analysis, improving the test efficiency and reducing repetitive work.

[0046] In one embodiment, the processor 7 includes:

[0047] A data preprocessing module 71, which is respectively connected to the storage module 6 and the audio generation module 3, and is used to preset the frequency range and amplitude when the audio generation module 3 generates sound signals according to the historical data read by the storage module 6;

[0048] An intelligent analysis module 72, which is respectively connected to the human-computer interaction module 4, the data acquisition module 5, and the storage module 6, and is used for data comparison and type analysis to improve the audiogram and hearing loss degree data of the subject;

[0049] A report generation module 73, which is respectively connected to the intelligent analysis module 72 and the data acquisition module 5, and is used to generate a report including an audiogram, hearing loss degree, and recommended solutions.

[0050] After the subject selects a hearing test mode, such as pure tone test or a test with ambient speech added, etc., the data preprocessing module 71 will obtain corresponding historical data based on the subject's data, and then preset the frequency range and amplitude of the test sound according to the historical data, thereby forming a test sound signal targeted. The report generation module 73 generates an audiogram and hearing loss degree data based on the subject's response data. The intelligent analysis module 72 compares this with the most recent historical data. If there is a missing part in the audiogram or a part that is different from the historical data, the processor 7 will again specifically change the frequency range and amplitude to complete the audiogram and determine the different part. Generally, for the different part to be determined, at least two of the data need to be consistent. In this way, a more realistic hearing test can be obtained this time, and then a complete hearing threshold curve and hearing loss degree level can be generated based on this. Further, the intelligent analysis module 72 includes a preset rule library and a machine learning model. The rule library presets hearing loss determination rules, and the machine learning model learns the hearing loss pattern through historical data to assist in analyzing the type. The intelligent analysis module 72 first presets the hearing loss determination rules by the rule library, such as comparing a relatively common and standardized audiogram with the corresponding case situation, and then combines with the historical data. The machine learning model will further improve the display of the determination result through comparison with other cases, such as the similarity ratio of the audiogram in different standard cases, so that the final test result of the current time can be compared with the existing case records to find possible situations, such as noise exposure, presbycusis, and a report with a recommended solution is generated by the report generation module 73 to assist in analyzing the type, such as conductive, sensorineural, etc.

[0051] In addition, a noise filtering module 8 is also provided between the audio generation module 3 and the processor 7. The noise filtering module 8 is used to adjust the frequency range and amplitude preset by the processor 7 according to the environmental noise sensed by the sensor. The noise filtering module 8 is provided with an environmental noise sensor. When setting the preset values of the frequency range and amplitude of the test sound in the data preprocessing module 71 according to the environmental noise, the assignment of the influence of the environmental noise will be added to reduce the influence of the environmental noise on the hearing test. The storage module 6 is connected to a data encryption module 9, which is used to encrypt and anonymize all the data of the subject, and then upload it to the information system of professionals. Professionals need to confirm their identities to obtain the corresponding information. Further, the storage module 6 is also connected to a communication module 10, which is used to provide the test results to professionals through the cloud platform for review reports and adding comments. Professionals can manually review the test results of each time, especially for relatively special test results, such as the situation where there is no similar hearing threshold curve in the case records. In addition, the earphone 2 is a noise-canceling earphone, and the earphone 2 can be connected to the audio generation module 3 either wired or wirelessly, such as WiFi connection, Bluetooth connection, etc.

[0052] Such as Figure 3As shown, the usage method of the detection device for supporting automatic hearing test of the present invention includes the following steps:

[0053] S1. The subject wears the earphone 2 and inputs personal information and selects a test type, such as pure tone test or speech test, through the human-computer interaction module 4;

[0054] S2. The processor 7 sets the frequency range and amplitude of the hearing test according to the historical data read from the storage module 6 and the personal information of the subject, such as combined background information like age and occupation, and enables the audio generation module 3 to output the sound signal of the hearing test to the earphone 2;

[0055] S3. The subject makes a response on the human-computer interaction module 4 according to the heard sound. The data acquisition module 5 generates an audiogram and data on the degree of hearing loss, and compares them with the historical data read from the storage module 6 in the processor 7. According to the missing parts of the current audiogram and the data on the degree of hearing loss and the parts different from the historical data, the frequency range and amplitude of the hearing test are set again, and the audio generation module 3 outputs the sound signal of the hearing test with the changed set value to the earphone 2 again;

[0056] S4. After the current audiogram and the data on the degree of hearing loss are completed and determined, it is determined that at least two sets of data need to be consistent, including the test data and the most recent historical data. The processor 7 compares the corresponding type according to the existing case records and generates a report, which is recorded in the storage module 6.

[0057] The method of the present invention further reduces the accidental errors caused by factors such as environmental noise, attention fluctuation or physiological state change during the hearing detection process through historical data comparison and improvement of multiple hearing tests. The method also optimizes the test process by analyzing historical data to ensure that consistent and reliable hearing thresholds can be obtained in different test environments, which helps to detect and intervene in hearing impairments at an early stage and improve the hearing health management level of the subject.

[0058] Furthermore, before step S2, the audio generation module 3 outputs a pure tone or a voice signal with frequencies and sound pressures that the subject can hear according to historical data to test and determine the response time of the subject. That is, before the current hearing test, the device will record the response time of the subject, determine the interval between when the subject hears the sound and inputs the signal of hearing the sound in the human-computer interaction module 4, and make up for this interval time when drawing the audiogram or calculating the degree of hearing loss, so as to reduce the impact on the test results. Specifically, in step S4, the report generated by the processor 7 is uploaded to the cloud through the storage module 6. After being reviewed by professionals and adding comments, it is then fed back to the storage module 6 for recording. Especially for special audiograms that cannot match the existing case records or the matching rate is lower than 90%, etc., further manual review by professionals is required. The test results and recommended solutions that have not undergone manual review will be marked for the subject on the device.

[0059] In the description of the present application, it should be understood that the orientation or positional relationship indicated by orientation words such as "front, back, up, down, left, right", "lateral, vertical, horizontal" and "top, bottom", etc. is usually based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present application and simplifying the description. Without contrary instructions, these orientation words do not indicate and imply that the device or element referred to must have a specific orientation or be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the protection scope of the present application.

[0060] In the figure, the description of the positional relationship is only for illustrative purposes and cannot be understood as a limitation of this patent; obviously, the above-mentioned embodiments of the present invention are only examples for clearly explaining the present invention, rather than limitations on the implementation manners of the present invention. For those of ordinary skill in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to enumerate all the implementation manners here. Any modifications, equivalent replacements, and improvements made within the spirit and principle of the present invention shall be included in the protection scope of the claims of the present invention.

Claims

1. A detection device capable of supporting automatic hearing test, comprising a host (1) and a headset (2), characterized in that: The host (1) is provided with: An audio generation module (3), connected to the earphone (2), and used to generate pure tones or speech signals of different frequencies and sound pressures; A human-computer interaction module (4), connected to the audio generation module (3), used for inputting subject data, selecting a test mode, and obtaining the subject's response data to the sound signal; A data acquisition module (5) is connected to the audio generation module (3) and the human-computer interaction module (4) respectively, and generates an audiogram and hearing loss degree data according to the sound signal generated by the audio generation module (3) and the response data of the subject; A storage module (6), connected to the data acquisition module (5), used to store and upload current test data, and synchronize with the cloud to read historical data of the subject; The processor (7) is connected to the audio generation module (3), the human-computer interaction module (4), the data acquisition module (5) and the storage module (6) respectively, and is used to compare the historical data read by the storage module (6) with the subject data input by the human-computer interaction module (4) and the audiogram and hearing loss degree data generated by the data acquisition module (5), adjust the sound signal generated by the audio generation module (3), make the data acquisition module (5) supplement the missing parts of the current audiogram and hearing loss degree data or re-determine the different parts, and then compare the corresponding types according to the existing case records and generate a report.

2. The detection device capable of supporting automatic hearing test according to claim 1, characterized in that: The processor (7) comprises: a data preprocessing module (71), connected to the storage module (6) and the audio generation module (3) respectively, and used to preset the frequency range and amplitude of the sound signal generated by the audio generation module (3) according to the historical data read by the storage module (6); An intelligent analysis module (72) is connected to the human-computer interaction module (4), the data acquisition module (5) and the storage module (6) respectively, and is used for data comparison and type analysis to improve the audiogram and hearing loss degree data of the subject; A report generating module (73) is connected to the intelligent analyzing module (72) and the data collecting module (5) respectively, and is used to generate a report including an audiogram, a hearing loss degree and a suggested solution.

3. The detection device capable of supporting automatic hearing test according to claim 2, characterized in that: The intelligent analysis module (72) comprises a preset rule base and a machine learning model, wherein the rule base presets hearing loss determination rules, and the machine learning model learns hearing loss patterns through historical data to assist in analyzing types.

4. The detection device capable of supporting automatic hearing test according to claim 3, characterized in that: A noise filtering module (8) is also provided between the audio generation module (3) and the processor (7), and the noise filtering module (8) is used to adjust the frequency range and amplitude preset by the processor (7) according to the environmental noise sensed by the sensor.

5. The detection device capable of supporting automatic hearing test according to claim 4, characterized in that: The storage module (6) is connected to a data encryption module (9) for encrypting and anonymizing all data of the subject.

6. The detection device capable of supporting automatic hearing test according to claim 5, characterized in that: The storage module (6) is also connected to a communication module (10) for providing the report to professionals for review and annotation via a cloud platform.

7. The detection device capable of supporting automatic hearing test according to claim 6, characterized in that: The earphone (2) is a noise reduction earphone, and the earphone (2) is connected to the audio generation module (3) by wire or wirelessly.

8. A method for using a detection device capable of supporting automatic hearing testing, characterized in that: The following steps are involved: S1. The subject wears the headset (2), inputs personal information and selects a test type through the human-computer interaction module (4); S2, the processor (7) sets the frequency range and amplitude of the hearing test according to the historical data read by the storage module (6), and enables the audio generation module (3) to output the sound signal of the hearing test to the earphone (2); S3, the subject responds on the human-computer interaction module (4) according to the sound heard, the data acquisition module (5) generates an audiogram and hearing loss degree data, and compares the audiogram and hearing loss degree data with the historical data read by the storage module (6) in the processor (7), and sets the frequency range and amplitude of the hearing test again according to the missing parts of the current audiogram and hearing loss degree data and the parts that are different from the historical data, so that the audio generation module (3) outputs the sound signal of the hearing test after the set value is changed to the earphone (2) again; S4. After the current audiogram and hearing loss degree data are completed and confirmed, the processor (7) compares the corresponding type with the existing case records and generates a report, which is recorded in the storage module (6).

9. The method for using the detection device capable of supporting automatic hearing test according to claim 8, characterized in that: Before step S2, the audio generation module (3) outputs a pure tone or speech signal of a frequency and sound pressure audible to the subject according to historical data, so as to test and determine the response time of the subject.

10. The method for using the detection device capable of supporting automatic hearing test according to claim 9, characterized in that: In step S4, the report generated by the processor (7) is uploaded to the cloud via the storage module (6), and professionals review the report and add comments, which are then fed back to the storage module (6) for recording.

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