Hearing aid audiometry method and hearing aid

Abstract

The invention discloses a hearing aid audiometry method and a hearing aid, and relates to the technical field of hearing aids. The method comprises the following steps: in response to an audiometry starting instruction, acquiring background noise data of an environment; determining a frequency component and intensity distribution of background noise according to the background noise data; in response to the mode selection instruction, entering a corresponding audiometry mode, and in the corresponding audiometry mode, adjusting the intensity of audiometry sound to be played based on the frequency component and the intensity distribution of the background noise; and playing the audiometry sound, obtaining response data of the audiometry performed by the audiometry person under the background noise condition, and determining an audiometry result of the audiometry person based on the response data. Therefore, according to the method provided by the invention, when the audiometry is carried out in the noisy environment, the playing intensity of the audiometry sound in the corresponding audiometry mode is not easily influenced by the background noise hiding effect of the environment due to adjustment compensation, and the audiometry result of the audiometry carried out by the audiometry person under the background noise condition is relatively accurate.

Description

Technical Field

[0001] The present application relates to the technical field of audiometry, and in particular to a hearing aid audiometry method and a hearing aid. Background Art

[0002] Audiometry is a key step in diagnosing hearing problems. It helps doctors or audiologists determine the degree of hearing loss, the nature of hearing loss, and the strength of speech recognition ability of an individual. In the prior art, the audiometry process mainly relies on professional audiometry equipment and is completed in a strictly controlled quiet environment (such as a silent room or a soundproof room). This approach ensures the high accuracy and reliability of the test results, because any external noise may interfere with the test and affect the final evaluation results.

[0003] However, in practical applications, especially when promoting hearing aid audiometry technology in home environments, strictly quiet test conditions are often difficult to achieve. Most families do not have special quiet rooms or soundproofing facilities, and various sounds in daily life (such as conversations, household appliances, etc.) constitute inevitable background noise. The presence of these noises not only increases the difficulty of audiometry, but also easily leads to deviations in audiometry results in various audiometry modes, which cannot accurately reflect the true hearing condition of the subject.

[0004] The above contents are only used to assist in understanding the technical solution of the present application and do not constitute an admission that the above contents are prior art. Summary of the invention

[0005] The main purpose of this application is to provide a hearing aid audiometry method, aiming to achieve the purpose of obtaining accurate audiometry results even in a noisy environment.

[0006] To achieve the above object, the present application proposes a hearing aid audiometry method, the method comprising the following steps: S10, in response to the audiometry start instruction, obtaining background noise data of the environment; S20, determining the frequency components and intensity distribution of the background noise according to the background noise data; S30, in response to the mode selection instruction, entering a corresponding audiometry mode, and in the corresponding audiometry mode, adjusting the intensity of the audiometry sound to be played based on the frequency components and intensity distribution of the background noise; S40, playing the audiometric sound, obtaining the audiometric response data of the subject under the background noise condition, and determining the audiometric result of the subject based on the response data.

[0007] In one embodiment, the audiometry mode includes a pure tone audiometry mode and a language resolution audiometry mode. In the pure tone audiometry mode, the audiometry sound includes an audiometry pure tone; in the language resolution audiometry mode, the audiometry sound includes a language resolution audiometry sound; the step S30 includes: In response to the pure tone audiometry instruction, entering the pure tone audiometry mode, and in the pure tone audiometry mode, adjusting the intensity of the audiometry pure tone to be played based on the frequency components and intensity distribution of the background noise; In response to the speech resolution audiometry instruction, the speech resolution audiometry mode is entered, and in the speech resolution audiometry mode, the intensity of the speech resolution audiometry sound to be played is adjusted based on the frequency components and intensity distribution of the background noise.

[0008] In one embodiment, in the pure tone audiometry mode, the audiometry sound includes audiometry pure tones of multiple frequencies; the step of adjusting the intensity of the audiometry pure tones to be played based on the frequency components and intensity distribution of the background noise specifically includes: Obtain the frequency of the audiometric pure tone to be played; According to the frequency of the audiometric pure tone to be played, based on the frequency component and intensity distribution of the background noise, determining the intensity of the background noise at the frequency component where the audiometric pure tone is located; According to the intensity of the background noise at the frequency component where the audiometric pure tone is located, superposition compensation is performed on the intensity of the audiometric pure tone to be played.

[0009] In one embodiment, in the pure tone audiometry mode, step S40 includes: Playing audiometric pure tones of multiple frequencies in sequence from low frequency to high frequency or from high frequency to low frequency, and obtaining first response data of the subject when listening to the audiometric pure tones of multiple frequencies; The hearing threshold levels of the subject at different frequencies are determined based on the first response data of the subject when the subject listens to audiometric pure tones of multiple frequencies.

[0010] In one embodiment, the audiometric pure tones to be played at each frequency have multiple intensity levels; the step of playing the audiometric pure tones at multiple frequencies and obtaining the first response data of the subject when listening to the audiometric pure tones at multiple frequencies comprises: At each frequency, audiometric pure tones of multiple intensity levels are played in sequence from low to high, and first response data of the subject when listening to the audiometric pure tones of multiple intensity levels are obtained; The step of determining the hearing threshold levels of the subject at different frequencies according to the first response data of the subject when listening to audiometric pure tones of multiple frequencies comprises: At each frequency, according to the first response data, determining the hearing threshold level of the subject when listening to the audiometric pure tone of the corresponding frequency; wherein the hearing threshold level is used to indicate the audiometric pure tone of the lowest intensity level heard by the subject; Based on the hearing threshold levels corresponding to multiple frequencies, a hearing threshold curve is drawn; wherein the abscissa of the hearing threshold curve represents the frequency, the ordinate of the hearing threshold curve represents the hearing threshold level, and the hearing threshold curve is used to indicate the hearing threshold level of the subject at different frequencies.

[0011] In one embodiment, the hearing aid stores standard ear canal size data; before the step of adjusting the intensity of the audiometric pure tone to be played based on the frequency components and intensity distribution of the background noise, the method further includes: Acquire the ear canal dimension data of the tested listener; Determining the intensity compensation value of the audiometric pure tone to be played according to the ear canal size data of the subject and the standard ear canal size data; The intensity of the audiometric pure tone to be played is adjusted according to the intensity compensation value of the audiometric pure tone to be played.

[0012] In one embodiment, in the speech resolution audiometry mode, the step of adjusting the intensity of the speech resolution audiometry sound to be played based on the frequency components and intensity distribution of the background noise comprises: Based on the frequency components and intensity distribution of background noise, a dynamic volume control algorithm is introduced to adjust the intensity of the speech resolution audiometry sound.

[0013] In one embodiment, in the language resolution audiometry mode, the language resolution audiometry sound specifically includes multiple types of two-syllable word lists, and the step S40 includes: Playing a plurality of types of disyllabic word lists respectively, and obtaining second response data of the test subject when listening to the plurality of types of disyllabic word lists; The percentage of the tested listeners correctly understanding the corresponding types of disyllabic vocabulary is determined based on the second response data of the tested listeners when listening to the multiple types of disyllabic vocabulary.

[0014] In one embodiment, the hearing aid stores a disyllabic word database. In the language resolution audiometry mode, before the step of playing a plurality of types of disyllabic word databases and obtaining the second response data of the subject when listening to the plurality of types of disyllabic word databases, the method further includes: Acquire the profile data of the tested listener; wherein the profile data of the tested listener includes at least one of age, gender, occupation, education level, language habits, hearing disease type, and personal interests; According to the portrait data of the tested listener, multiple types of disyllabic word lists to be played are selected from a disyllabic word list database so that the multiple types of disyllabic word lists to be played match the portrait data of the tested listener.

[0015] In addition, to achieve the above-mentioned purpose, the present application also proposes a hearing aid, the hearing aid comprising: A collection module is used to obtain background noise data of the environment; A playback module, used for playing audiometric sounds; An input module, used to obtain control instructions and to obtain response data of the subject performing audiometry under background noise conditions; wherein the control instructions include audiometry start instructions and mode selection instructions; A processing module, wherein the processing module is specifically used for: In response to the audiometry start instruction input by the input module, the acquisition module is controlled to obtain the background noise data of the environment; the frequency components and intensity distribution of the background noise are determined according to the background noise data; in response to the mode selection instruction input by the input module, the corresponding audiometry mode is controlled to be entered, and in the corresponding audiometry mode, the intensity of the audiometry sound to be played is adjusted based on the frequency components and intensity distribution of the background noise; the playback module is controlled to play the audiometry sound, and the audiometry result of the subject is determined based on the response data of the subject's audiometry under the background noise condition input by the input module.

[0016] One or more technical solutions proposed in this application have at least the following technical effects: Step S10, in response to the audiometry start instruction, obtain the background noise data of the environment; step S20, determine the frequency component and intensity distribution of the background noise according to the background noise data; step S30, in response to the mode selection instruction, enter the corresponding audiometry mode, and in the corresponding audiometry mode, adjust the intensity of the audiometry sound to be played based on the frequency component and intensity distribution of the background noise; step S40, play the audiometry sound, obtain the response data of the subject performing the audiometry under the background noise condition, and determine the audiometry result of the subject based on the response data. In this way, through the method of the present application, when performing audiometry in a noisy environment, the playing intensity of the audiometry sound in the corresponding audiometry mode is not easily affected by the concealing effect of the background noise of the environment due to the adjustment compensation, and the audiometry result of the subject performing the audiometry under the background noise condition is also more accurate, which solves the problem of inaccurate audiometry results when the existing audiometry equipment performs audiometry in a noisy environment. In this way, even in a noisy environment, the solution of the present application can obtain accurate audiometry results in multiple audiometry modes, and the user does not need to specifically find a quiet environment for audiometry, thereby improving the convenience and practicality of audiometry. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0018] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0019] Figure 1 A flowchart of Embodiment 1 of the hearing aid audiometry method of the present application is provided; Figure 2 A flowchart of Embodiment 2 of the hearing aid audiometry method of the present application is provided; Figure 3 A flowchart of Embodiment 6 of the hearing aid audiometry method of the present application is provided; Figure 4 This is a structural diagram of the hearing aid embodiment 1 of the present application.

[0020] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0021] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0022] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0023] The main solution of the embodiment of the present application is: step S10, in response to the audiometry start instruction, obtaining the background noise data of the environment; step S20, determining the frequency components and intensity distribution of the background noise according to the background noise data; step S30, in response to the mode selection instruction, entering the corresponding audiometry mode, and in the corresponding audiometry mode, adjusting the intensity of the audiometry sound to be played based on the frequency components and intensity distribution of the background noise; step S40, playing the audiometry sound, obtaining the response data of the subject performing the audiometry under the background noise condition, and determining the audiometry result of the subject based on the response data.

[0024] In this embodiment, for the convenience of description, the following description is made by taking the hearing aid of the hearing aid identification audiometry method as the execution subject.

[0025] The existing hearing aid audiometry method requires that the audiometry be performed in a quiet environment such as a silent room or a soundproof room in order to obtain relatively accurate audiometry results. When the hearing aid is tested in a noisy environment, it is easily affected by the background noise of the environment, resulting in inaccurate audiometry results.

[0026] The present application provides a solution that allows the hearing aid to adjust the intensity of the audiometric sound to be played in different audiometric modes. Specifically, it can be dynamically adjusted based on the changes in the frequency components and intensity distribution of the background noise to effectively offset the impact of the background noise on the audiometric results in different audiometric modes. In this way, even in a noisy environment, the solution of the present application can obtain accurate audiometric results in a variety of audiometric modes. In this way, users can perform audiometrics in various environments, especially in home environments, without having to specifically find a strictly controlled quiet environment such as a silent room or a soundproof room for audiometrics, which improves the convenience and practicality of audiometrics.

[0027] The present application embodiment provides a hearing aid audiometry method, referring to Figure 1 , Figure 1 This is a flowchart of the first embodiment of the hearing aid audiometry method of the present application.

[0028] In this embodiment, the hearing aid audiometry method includes steps S10 to S40: Step S10, in response to the audiometry start instruction, obtaining background noise data of the environment.

[0029] It should be noted that background noise may include the noise of household appliances such as televisions, air conditioners, and refrigerators in a home environment, the noise of keyboard tapping, printers, and other equipment in an office environment, the noise of medical equipment in a hospital environment, the conversation of medical staff, etc. In this embodiment, the background noise data of the environment can be obtained through components such as microphone arrays.

[0030] Step S20: determining the frequency components and intensity distribution of the background noise according to the background noise data.

[0031] It should be noted that the background noise data can be subjected to spectrum analysis, and the background noise signal can be decomposed into frequency components of different frequency bands using algorithms such as fast Fourier transform (FFT), and the sound pressure level or sound energy of the frequency components of each frequency band can be calculated to obtain the frequency components and intensity distribution of the background noise. Among them, the intensity distribution is used to indicate the sound energy level of the background noise at different frequency components. For example, based on the characteristics of human speech and the perception mechanism of the ear to sound, the background noise can be divided into low-frequency, medium-frequency and high-frequency bands, and the low-frequency, medium-frequency and high-frequency bands are 125Hz to 500Hz (excluding 500Hz), 500Hz to 2000Hz (excluding 2000Hz) and 2000Hz to 8000Hz, respectively. In this embodiment, the frequency components and intensity distribution of the background noise in the low-frequency, medium-frequency and high-frequency ranges can be analyzed by signal processing techniques such as fast Fourier transform, and the audiometric sound to be played can be adaptively adjusted. It should be noted that the division of the frequency range into low frequency, medium frequency and high frequency in this embodiment does not limit the division of the frequency band of background noise in this application.

[0032] In one feasible implementation, before step S30, the hearing aid audiometry method further includes step S3001: Step S3001, calculating the total energy of the background noise according to the frequency components and intensity distribution of the background noise, and executing step S30 when it is determined that the energy of the background noise is less than a preset threshold.

[0033] In this implementation, the total energy is calculated as follows:

[0034] in, E is the total energy of the background noise, N is the number of frequency components, i is the index of the frequency component, For the i Frequency components The sound energy at the place.

[0035] In this way, the total energy of the background noise can be effectively calculated, and then it can be determined whether it exceeds the preset threshold to decide whether to continue the audiometry. In this way, the audiometry can be stopped when the background noise is too high, thereby preventing the intensity of the audiometry sound played from being too high, causing the subject to have an uncomfortable audiometry experience, and preventing audiometry under excessive background noise, thereby improving the accuracy and reliability of audiometry under background noise conditions.

[0036] Step S30, in response to the mode selection instruction, entering a corresponding audiometry mode, and in the corresponding audiometry mode, adjusting the intensity of the audiometry sound to be played based on the frequency components and intensity distribution of the background noise.

[0037] In a feasible implementation manner, the audiometry mode includes a pure tone audiometry mode and a language resolution audiometry mode, and the mode selection instruction includes a pure tone audiometry instruction and a language resolution audiometry instruction; in the pure tone audiometry mode, the audiometry sound includes an audiometry pure tone; in the language resolution audiometry mode, the audiometry sound includes a language resolution audiometry sound; the step S30 includes steps S310-S320: Step S310, in response to the pure tone audiometry instruction, entering the pure tone audiometry mode, and in the pure tone audiometry mode, adjusting the intensity of the audiometric pure tone to be played based on the frequency components and intensity distribution of the background noise.

[0038] In this way, the intensity of the audiometric sound can be adaptively increased according to the frequency components and intensity distribution of the background noise to offset the masking effect of the background noise on the audiometric pure tone.

[0039] Step S320, in response to the speech resolution audiometry instruction, entering the speech resolution audiometry mode, and in the speech resolution audiometry mode, adjusting the intensity of the speech resolution audiometry sound to be played based on the frequency components and intensity distribution of the background noise.

[0040] In this way, the playback intensity of each word of the language resolution audiometric sound can be adjusted according to the frequency components and intensity distribution of the background noise to ensure that the subject can hear each word clearly to offset the masking effect of the background noise on the audiometric pure tone.

[0041] Step S40 , playing the audiometric sound, obtaining the audiometric response data of the subject under the background noise condition, and determining the audiometric result of the subject based on the response data.

[0042] In this embodiment, the adjusted audiometric sound can be played, and the response data of the subject can be recorded, such as whether the pure audiometric tone can be heard, whether the meaning of the language resolution audiometric tone can be correctly understood, whether the audiometric tone is played repeatedly, etc. Among them, in the pure tone audiometric mode, the intensity of the audiometric tone can be gradually adjusted until the subject can hear it, and the hearing threshold at the frequency can be recorded. In the language resolution audiometric mode, a disyllabic word list can be played, and the repetition of the subject can be recorded, as well as the correct understanding. In this way, the audiometric result of the subject can be obtained based on the recorded data. The audiometric result can include information such as the degree of hearing loss (such as mild, moderate, severe, and extremely severe), the characteristics of the hearing loss curve (such as the frequency distribution characteristics of hearing loss), and the comprehensive evaluation of speech recognition ability (such as the recognition rate of different types of speech). In this way, this embodiment can perform audiometry in a noisy environment through a hearing aid. The playback intensity of the test sound is not easily affected by the masking effect of the background noise of the environment due to the adjustment compensation. The audiometry results of the subjects under background noise conditions are also more accurate, which solves the problem of inaccurate audiometry results when the existing hearing aids are used for audiometry in a noisy environment.

[0043] In this embodiment, by adopting steps S10 to S40, the hearing aid can adjust the intensity of the audiometric sound to be played in different audiometric modes, and can dynamically adjust the audiometric sound based on the frequency component and intensity distribution changes of the background noise, effectively offsetting the impact of the background noise on the audiometric results in different audiometric modes. In this way, even in a noisy environment, the solution of the present application can obtain accurate audiometric results in multiple audiometric modes. In this way, the user can perform audiometrics in various environments, especially in a home environment, without having to specifically find a strictly controlled quiet environment such as a silent room or a soundproof room for audiometrics, thereby improving the convenience and practicality of audiometrics.

[0044] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can refer to the above introduction, and will not be repeated later. Figure 2 , Figure 2 This is a flow chart of the second embodiment of the hearing aid audiometry method of the present application. In the pure tone audiometry mode, the audiometry sound includes audiometry pure tones of multiple frequencies; in step S310, the step of adjusting the intensity of the audiometry pure tones to be played based on the frequency components and intensity distribution of the background noise specifically includes steps S311 to S313: Step S311, obtaining the frequency of the audiometric pure tone to be played; Step S312, determining the intensity of the background noise at the frequency component where the audiometric pure tone is located according to the frequency of the audiometric pure tone to be played and based on the frequency component and intensity distribution of the background noise; Step S313: Perform superposition compensation on the intensity of the audiometric pure tone to be played according to the intensity of the background noise at the frequency component where the audiometric pure tone is located.

[0045] In this way, in the pure tone audiometry mode, this embodiment can effectively offset the influence of background noise on the audiometry of the audiometric pure tone. For example, the frequency of the audiometric pure tone to be played is 500Hz and the intensity is 40dB, and according to the frequency component and intensity distribution of the background noise, the sound pressure level of the background noise at the frequency band of 500Hz is 10dB, then the audiometric pure tone to be played can be superimposed and compensated, and specifically can be adjusted to 50dB. In this way, the audiometric pure tone with a frequency of 500Hz and an intensity of 50dB is played, the response data of the subject is obtained, and the hearing threshold level of the subject is more accurately derived based on the response data.

[0046] It should be noted that the audiometric sound may include audiometric pure tones of frequencies such as 250 Hz, 500 Hz, 1000 Hz, 2000 Hz, 4000 Hz, and 8000 Hz, and the audiometric pure tones may be classified into low-frequency, medium-frequency, and high-frequency frequency bands, such as 125 Hz to 500 Hz (excluding 500 Hz), 500 Hz to 2000 Hz (excluding 2000 Hz), and 2000 Hz to 8000 Hz. In a feasible implementation, the audiometric pure tones to be played may be weighted and superimposed for compensation according to the concealing effect of background noise on audiometric pure tones in different frequency bands. For example, since the concealing effect of background noise is stronger at low frequencies and relatively weaker at high frequencies, the weighting coefficients can be preset as 1.1, 1 and 0.9 at low frequencies, medium frequencies and high frequencies respectively. Assuming that the intensity of the audiometric pure tone is 40 dB, the frequencies are 2500 Hz, 1000 Hz and 4000 Hz respectively, and the sound pressure level of the background noise at the frequency bands of 2500 Hz, 1000 Hz and 4000 Hz is 10 dB, the audiometric pure tone to be played can be weighted and superimposed for compensation, which are 51 dB, 50 dB and 49 dB respectively, and the audiometric result obtained is more accurate.

[0047] Based on the second embodiment of the present application, in the third embodiment of the present application, the same or similar contents as those in the above-mentioned second embodiment can be referred to the above introduction, and will not be repeated in the following. On this basis, the step S40 includes steps S411~S412: Step S411, playing audiometric pure tones of multiple frequencies in sequence from low frequency to high frequency or from high frequency to low frequency, and obtaining first response data of the subject when listening to the audiometric pure tones of multiple frequencies; Step S412: determining the hearing threshold levels of the subject at different frequencies according to the first response data of the subject when the subject listens to audiometric pure tones of multiple frequencies.

[0048] In this embodiment, starting from the lowest frequency, the frequency can be gradually increased until the highest frequency, and the audiometric pure tone after background noise superposition compensation can be played at each frequency point in turn, and the response of the subject at each frequency point can be recorded, including whether the audiometric tone is heard and the loudness perception. The minimum sound intensity that the subject can hear is defined as the hearing threshold of the subject at the frequency point. The hearing threshold of the subject at all different frequencies is obtained to obtain the hearing threshold level of the subject at different frequencies.

[0049] It should be noted that, in this embodiment, the audiometric pure tones can also be played starting from the highest frequency and gradually increasing the frequency until the lowest frequency is reached. In this way, in this embodiment, audiometric pure tones of multiple frequencies are played in a certain frequency order, which helps to enhance the user's audiometric experience.

[0050] Based on the third embodiment of the present application, in the fourth embodiment of the present application, the same or similar contents as those in the third embodiment can be referred to the above description, and will not be described in detail later. On this basis, the audiometric pure tone to be played at each frequency has multiple intensity levels; in step S411, the step of playing the audiometric pure tones of multiple frequencies and obtaining the first response data of the subject when listening to the audiometric pure tones of multiple frequencies includes step S4111: Step S4111: at each frequency, audiometric pure tones of multiple intensity levels are played in sequence from low to high, and first response data of the subject when listening to the audiometric pure tones of multiple intensity levels are obtained.

[0051] It should be noted that when the subject hears the audiometric pure tone of the corresponding intensity level, he or she can provide feedback on whether he or she heard the audiometric pure tone of the corresponding intensity level by pressing a button or clicking a button on a mobile phone APP.

[0052] In step S412, the step of determining the hearing threshold levels of the subject at different frequencies according to the first response data of the subject when listening to audiometric pure tones of multiple frequencies includes steps S4121-S4122: Step S4121, at each frequency, determining the hearing threshold level of the subject when listening to the audiometric pure tone of the corresponding frequency according to the first response data; wherein the hearing threshold level is used to indicate the audiometric pure tone of the lowest intensity level heard by the subject; Step S4122, drawing a hearing threshold curve based on the hearing threshold levels corresponding to multiple frequencies; wherein the abscissa of the hearing threshold curve represents the frequency, the ordinate of the hearing threshold curve represents the hearing threshold level, and the hearing threshold curve is used to indicate the hearing threshold level of the subject at different frequencies.

[0053] In this embodiment, for each pure audiometric sound of a selected frequency, the sound intensity can be increased from a very low sound intensity in sequence by a preset step length for playback until the subject can just hear the sound, and then the playback is stopped. In this way, this embodiment can accurately find the hearing threshold of each frequency. It can be understood that the sound intensity of the specific preset step length can be specifically set according to the audiometric accuracy requirements, and is not limited here. In this way, this embodiment can draw a hearing threshold curve based on the hearing threshold levels corresponding to multiple frequencies, with the frequency as the horizontal coordinate and the hearing threshold level as the vertical coordinate. In this way, based on the hearing threshold curve, it is helpful to analyze the degree of hearing loss (such as mild, moderate, severe, and extremely severe) and the characteristics of the hearing loss (such as the frequency distribution characteristics of the hearing loss) of the subject, which is beneficial to the personalized treatment of the patient.

[0054] Based on the first embodiment of the present application, in the fifth embodiment of the present application, the same or similar contents as those in the first embodiment can be referred to the above description, and will not be described in detail later. On this basis, the hearing aid stores standard ear canal size data; before the step of adjusting the intensity of the audiometric pure tone to be played based on the frequency component and intensity distribution of the background noise in step S312, the method further includes steps S011 to S013: Step S011, obtaining the ear canal size data of the tested listener; Step S012, determining the intensity compensation value of the audiometric pure tone to be played according to the ear canal size data of the subject and the standard ear canal size data; Step S013: adjusting the intensity of the audiometric pure tone to be played according to the intensity compensation value of the audiometric pure tone to be played.

[0055] It should be noted that the ear canal size data may include ear canal length, cross-section, ear canal shape and other data. In this embodiment, the ear canal size data may specifically include the actual ear canal length of the subject, and the standard ear canal size data may include the standard ear canal length, wherein the ear canal length is specifically the straight-line distance from the auricle to the eardrum. In this embodiment, the intensity compensation value of the audiometric pure tone to be played can be determined based on the actual ear canal length and the standard ear canal length, and the intensity of the audiometric pure tone to be played can be adjusted according to the intensity compensation value of the audiometric pure tone to be played. For example, when the actual ear canal length is longer, the intensity of the audiometric pure tone can be relatively increased, and when the actual ear canal length is shorter, the intensity of the audiometric pure tone can be relatively decreased. In this way, this embodiment performs personalized intensity adjustment of the audiometric pure tone according to the ear canal size data of the subject, thereby enhancing the accuracy of audiometry.

[0056] Based on the first embodiment of the present application, in the sixth embodiment of the present application, the same or similar contents as those in the first embodiment can be referred to the above description, and will not be described in detail later. Figure 3 , Figure 3 This is a flowchart of the sixth embodiment of the hearing aid audiometry method of the present application. In the language resolution audiometry mode, in step S320, the step of adjusting the intensity of the language resolution audiometry sound to be played based on the frequency components and intensity distribution of the background noise includes step S321: Step S321 , based on the frequency components and intensity distribution of the background noise, a dynamic volume control algorithm is introduced to adjust the intensity of the speech resolution audiometric sound.

[0057] It should be noted that the dynamic volume control (DVC) algorithm can optimize the clarity of the audiometric sound with speech resolution, ensuring that the subject can accurately identify the audiometric sound under different background noise conditions. In this embodiment, according to the change of background noise, the DVC algorithm can adjust the intensity of the audiometric sound in real time. For example, when the background noise suddenly increases, the algorithm will quickly increase the intensity of the audiometric sound to maintain the clarity of the audiometric sound; when the background noise decreases, the algorithm will appropriately reduce the intensity of the audiometric sound to avoid discomfort caused by excessive amplification. Among them, the DVC algorithm can be combined with adaptive filtering technology to perform adaptive filtering adjustment, and can be combined with a psychoacoustic model to simulate the auditory characteristics of the human ear to ensure that the playback effect of the audiometric sound is more natural and comfortable under different background noise conditions. For example, when testing the audiometric sound with speech resolution, if the background noise suddenly increases, such as a vehicle approaching, the DVC algorithm can immediately detect this change and quickly increase the intensity of the audiometric sound with speech resolution to maintain the clarity of the audiometric sound with speech resolution. When the vehicle is moving away, the DVC algorithm appropriately reduces the intensity of the speech resolution audiometric sound to avoid discomfort caused by over-amplification. In this way, this embodiment can ensure the clarity of the audiometric sound and the comfort of the listener when performing speech resolution audiometry.

[0058] Based on the sixth embodiment of the present application, in the seventh embodiment of the present application, the same or similar contents as those in the sixth embodiment can be referred to the above introduction, and will not be repeated in the following. On this basis, in the language resolution audiometry mode, the language resolution audiometry sound specifically includes multiple types of two-syllable word lists, and the step S40 includes steps S421~S422: Step S421, playing a plurality of types of disyllabic word lists respectively, and obtaining second response data of the test subject when listening to the plurality of types of disyllabic word lists.

[0059] It should be noted that various types of disyllabic word lists may include disyllabic word lists of daily life types, place names or common place types, and numbers and time types. For example, the disyllabic word list of daily life types may include clothes, tables, water cups, etc., the place names or common place types may include Beijing, Shanghai, Guangzhou, hospitals, schools, shops, etc., and the disyllabic word list of numbers and time types may include one hundred, twenty, thirty, morning, afternoon, etc. When the test listener hears the corresponding disyllabic word, he can give feedback by saying the word he hears or pressing the button corresponding to the corresponding picture. Among them, a certain time interval is given for the playback of each disyllabic word to ensure that the test listener has enough time to react and action feedback to confirm whether they understand what they hear, or whether they can correctly identify and distinguish words. The second response data of each test listener on each type of disyllabic word list is recorded, including correct and incorrect recognition information. If the test listener fails to respond within the specified time, it is recorded as non-response.

[0060] Step S422: determining the percentage of the tested listeners correctly understanding the corresponding types of disyllabic vocabulary based on the second response data of the tested listeners when listening to the various types of disyllabic vocabulary.

[0061] It should be noted that for each two-syllable word, if the subject can accurately identify and express the word (or choose the correct option), the response is considered a "correct response". If the subject fails to correctly identify or understand the word and fails to respond within the specified time, the response is marked as an "incorrect response". In this way, we can get: Percentage of correct responses = number of correct responses / total number of responses × 100%; In this way, this embodiment can obtain the performance of the subject on different types of disyllabic word lists, determine the correct response percentage of the subject on each type of disyllabic word list, and analyze whether the subject has difficulty in understanding language in specific areas (such as place names, time, daily objects, etc.).

[0062] Based on the seventh embodiment of the present application, in the eighth embodiment of the present application, the same or similar contents as those in the first embodiment can be referred to the above description, and will not be described in detail later. On this basis, the hearing aid stores a disyllabic word table database, and in the language resolution audiometry mode, before the step S421, the method further includes steps S021-S022: Step S021, obtaining the portrait data of the subject; wherein the portrait data of the subject includes at least one of age, gender, occupation, education level, language habits, hearing disease type, and personal interests.

[0063] Step S023, selecting multiple types of disyllabic word lists to be played from a disyllabic word list database according to the portrait data of the tested listener, so that the multiple types of disyllabic word lists to be played match the portrait data of the tested listener.

[0064] It should be noted that the profile data of the test subject, such as age, gender, occupation, education level, language habits, type of hearing disease, personal interests, etc., can ensure the personalization and effectiveness of the audiometry. For example, for children, some basic and common two-syllable words, such as "toy" and "apple" are preferred; while for the elderly, more common words in daily life, such as "TV" and "meals" are preferred. For men, words related to sports, cars, and technology are preferred, such as "football", "car", and "computer". For women, words related to family, shopping, health, and fashion are preferred, such as "clothes", "kitchen", and "travel". For teachers, words related to education, learning, teaching, and classroom management are preferred, such as "textbooks" and "students". For farmers, words related to agriculture, life, and nature are preferred, such as "farmland" and "farm tools". If the test subject has specific hearing impairments, such as high-frequency hearing loss (such as presbycusis), two-syllable words with low-frequency sounds are preferred. If the subject has a clear dialect or foreign language background, disyllabic words that match his or her language habits can be selected to avoid the test results being affected by accent or pronunciation differences. If the subject has a strong interest in music, some music-related disyllabic word lists can be selected, etc. In this way, this embodiment can intelligently select different types of disyllabic word lists based on the subject's portrait data (age, gender, occupation, education level, language habits, hearing disease type, personal interests, etc.), so that the various types of disyllabic word lists to be played match the subject's portrait data, so as to ensure the personalization and effectiveness of the content of the audiometric resolution test sound, and more accurately evaluate the subject's language comprehension ability.

[0065] This application also provides a hearing aid, please refer to Figure 4 , the hearing aid comprises: The acquisition module 10 is used to obtain background noise data of the environment; A playing module 20, used for playing audiometric sounds; An input module 30, used to obtain control instructions and to obtain response data of the subject performing audiometry under background noise conditions; wherein the control instructions include audiometry start instructions and mode selection instructions; The processing module 40 is specifically used for: In response to the audiometry start instruction input by the input module 30, the acquisition module 10 is controlled to obtain the background noise data of the environment; the frequency components and intensity distribution of the background noise are determined according to the background noise data; in response to the mode selection instruction input by the input module 30, the corresponding audiometry mode is controlled to be entered, and in the corresponding audiometry mode, the intensity of the audiometry sound to be played is adjusted based on the frequency components and intensity distribution of the background noise; the playback module 20 is controlled to play the audiometry sound, and the audiometry result of the subject is determined based on the response data of the subject's audiometry under the background noise condition input by the input module 30.

[0066] It should be noted that the acquisition module 10 may include an array microphone to comprehensively collect background noise data in the environment. The playback module 20 may be an earphone, through which the audiometric sound is played for audiometry. Among them, the array microphone can be set close to the earphone, so that the collected background noise data is more accurate. The instructions and response data input by the user can be obtained through the mobile phone APP of the relevant audiometry, and the input module 30 can be connected to the mobile phone for communication to receive the corresponding instructions and response data, and transmit the data to the processing module 40. Alternatively, the input module 30 may also include a button for the user to input instructions and response data, which is not limited here. The processing module 40 may be a processing chip built into the hearing aid, which is used to convert the background noise data collected by the microphone array into a digital signal, and analyze and process it to obtain the frequency component and intensity distribution of the background noise, and adjust the audiometric sound to be played based on the changes in the frequency component and intensity distribution of the background noise. The hearing aid provided in the present application may also include a storage module for storing data generated during the execution of the program to implement the above-mentioned hearing aid audiometry method, as well as standard ear canal size data, disyllabic word list database and other data.

[0067] The hearing aid provided by the present application can adopt the hearing aid audiometry method in all the above embodiments, and can solve the technical problem that the audiometry results of the existing hearing aids are inaccurate when the hearing aids are used for audiometry in a noisy environment. Compared with the prior art, the beneficial effects of the hearing aid provided by the present application are the same as the beneficial effects of the hearing aid audiometry method provided by the above embodiments, and the other technical features of the hearing aid are the same as the features disclosed in the above embodiment methods, which will not be repeated here.

[0068] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A hearing aid audiometry method, characterized in that: The steps of the method include: S10, in response to the audiometry start instruction, obtaining background noise data of the environment; S20, determining the frequency components and intensity distribution of the background noise according to the background noise data; S30, in response to the mode selection instruction, entering a corresponding audiometry mode, and in the corresponding audiometry mode, adjusting the intensity of the audiometry sound to be played based on the frequency components and intensity distribution of the background noise; S40, playing the audiometric sound, obtaining the audiometric response data of the subject under the background noise condition, and determining the audiometric result of the subject based on the response data.

2. The method according to claim 1, characterized in that The audiometry mode includes a pure tone audiometry mode and a language resolution audiometry mode. In the pure tone audiometry mode, the audiometry sound includes an audiometry pure tone; in the language resolution audiometry mode, the audiometry sound includes a language resolution audiometry sound; the step S30 includes: In response to the pure tone audiometry instruction, entering the pure tone audiometry mode, and in the pure tone audiometry mode, adjusting the intensity of the audiometry pure tone to be played based on the frequency components and intensity distribution of the background noise; In response to the speech resolution audiometry instruction, the speech resolution audiometry mode is entered, and in the speech resolution audiometry mode, the intensity of the speech resolution audiometry sound to be played is adjusted based on the frequency components and intensity distribution of the background noise.

3. The method according to claim 2, characterized in that In the pure tone audiometry mode, the audiometry sound includes audiometry pure tones of multiple frequencies; the step of adjusting the intensity of the audiometry pure tones to be played based on the frequency components and intensity distribution of the background noise specifically includes: Obtain the frequency of the audiometric pure tone to be played; According to the frequency of the audiometric pure tone to be played, based on the frequency component and intensity distribution of the background noise, determining the intensity of the background noise at the frequency component where the audiometric pure tone is located; According to the intensity of the background noise at the frequency component where the audiometric pure tone is located, superposition compensation is performed on the intensity of the audiometric pure tone to be played.

4. The method according to claim 3, characterized in that In the pure tone audiometry mode, step S40 includes: Playing audiometric pure tones of multiple frequencies in sequence from low frequency to high frequency or from high frequency to low frequency, and obtaining first response data of the subject when listening to the audiometric pure tones of multiple frequencies; The hearing threshold levels of the subject at different frequencies are determined based on the first response data of the subject when the subject listens to audiometric pure tones of multiple frequencies.

5. The method according to claim 4, characterized in that The audiometric pure tones to be played at each frequency have multiple intensity levels; the step of playing the audiometric pure tones at multiple frequencies and obtaining the first response data of the subject when listening to the audiometric pure tones at multiple frequencies comprises: At each frequency, audiometric pure tones of multiple intensity levels are played in sequence from low to high, and first response data of the subject when listening to the audiometric pure tones of multiple intensity levels are obtained; The step of determining the hearing threshold levels of the subject at different frequencies according to the first response data of the subject when listening to audiometric pure tones of multiple frequencies comprises: At each frequency, according to the first response data, determining the hearing threshold level of the subject when listening to the audiometric pure tone of the corresponding frequency; wherein the hearing threshold level is used to indicate the audiometric pure tone of the lowest intensity level heard by the subject; A hearing threshold curve is drawn based on the hearing threshold levels corresponding to multiple frequencies; wherein the abscissa of the hearing threshold curve represents the frequency, the ordinate of the hearing threshold curve represents the hearing threshold level, and the hearing threshold curve is used to indicate the hearing threshold level of the subject at different frequencies.

6. The method according to claim 2, characterized in that The hearing aid stores standard ear canal size data; before the step of adjusting the intensity of the audiometric pure tone to be played based on the frequency components and intensity distribution of the background noise, the method further includes: Acquire the ear canal dimension data of the tested listener; Determining the intensity compensation value of the audiometric pure tone to be played according to the ear canal size data of the subject and the standard ear canal size data; The intensity of the audiometric pure tone to be played is adjusted according to the intensity compensation value of the audiometric pure tone to be played.

7. The method according to claim 2, characterized in that In the speech resolution audiometry mode, the step of adjusting the intensity of the speech resolution audiometry sound to be played based on the frequency components and intensity distribution of the background noise includes: Based on the frequency components and intensity distribution of background noise, a dynamic volume control algorithm is introduced to adjust the intensity of the speech resolution audiometry sound.

8. The method according to claim 7, characterized in that In the language resolution audiometry mode, the language resolution audiometry sound specifically includes multiple types of two-syllable word lists, and the step S40 includes: Playing a plurality of types of disyllabic word lists respectively, and obtaining second response data of the test listeners when listening to the plurality of types of disyllabic word lists; The percentage of the tested listeners correctly understanding the corresponding types of disyllabic vocabulary is determined based on the second response data of the tested listeners when listening to the multiple types of disyllabic vocabulary.

9. The method according to claim 8, characterized in that The hearing aid stores a disyllabic word list database. In the language resolution audiometry mode, before the step of playing a plurality of types of disyllabic word lists respectively and obtaining the second response data of the subject when listening to the plurality of types of disyllabic word lists, the method further includes: Acquire the portrait data of the tested listener; wherein the portrait data of the tested listener includes at least one of age, gender, occupation, education level, language habits, hearing disease type, and personal interests; According to the portrait data of the tested listener, multiple types of disyllabic word lists to be played are selected from a disyllabic word list database so that the multiple types of disyllabic word lists to be played match the portrait data of the tested listener.

10. A hearing aid, characterized in that: include: A collection module is used to obtain background noise data of the environment; A playback module, used for playing audiometric sounds; An input module, used to obtain control instructions and to obtain response data of the subject performing audiometry under background noise conditions; wherein the control instructions include audiometry start instructions and mode selection instructions; A processing module, wherein the processing module is specifically used for: In response to the audiometry start instruction input by the input module, the acquisition module is controlled to obtain the background noise data of the environment; the frequency components and intensity distribution of the background noise are determined according to the background noise data; in response to the mode selection instruction input by the input module, the corresponding audiometry mode is controlled to be entered, and in the corresponding audiometry mode, the intensity of the audiometry sound to be played is adjusted based on the frequency components and intensity distribution of the background noise; the playback module is controlled to play the audiometry sound, and the audiometry result of the subject is determined based on the response data of the subject's audiometry under the background noise condition input by the input module.

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