KR102093367B1 - Control method, device and program of customized hearing aid suitability management system - Google Patents

Abstract

A hearing aid fitting management system is provided. A control method of the hearing aid fitting management system comprises: a step of evaluating the hearing status of a hearing aid user by an evaluation module; a step of obtaining a parameter suitable for the hearing aid user by a fitting module; and a step of providing the hearing aid user with an auditory training program related to the hearing aid corrected by the parameter by a follow-up action module.

Description

Control method, device and program of customized hearing aid suitability management system}

The present invention relates to a control method, apparatus and program for a user-customized hearing aid compatibility management system.

Hearing aids are devices for reinforcing hearing loss of hearing-impaired people, receiving sound through a microphone, and reinforcing the received sound to reinforce the hearing ability of the hearing-impaired person. A hearing aid fitting management service may be provided for efficient purchase and use of such a hearing aid. Through the hearing aid conformance management service, users of hearing aids can be provided with systematic conformity and follow-up management services.

However, hearing aid conformity management is implemented in various countries in different ways, and hearing aid related professional books introduce various and detailed contents, but there is no standard of national / international standardized guidance due to the wide range of services and activities. Therefore, hearing aid fitness management consists of core hearing aid fitness management factors and procedures that can be commonly used in Korea with reference to various contents, procedures, and methods that are currently being performed, and service providers respond to customers by following components and procedures. There is an increasing need for a hearing aid fleet management system that can provide services.

Registered Patent Publication No. 10-1440269, registered on August 29, 2014

The problem to be solved by the present invention is to provide a control method, apparatus and program for a user-customized hearing aid compatibility management system.

The problems to be solved by the present invention are not limited to the problems mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the following description.

A method of controlling a hearing aid conformity management system according to an aspect of the present invention for solving the above-described problems includes: evaluating a hearing state of a hearing aid user by an evaluation module; Obtaining a parameter suitable for the user of the hearing aid by a suitable module; And providing the hearing aid user a hearing training program related to the hearing aid corrected by the parameter by a follow-up action module. It includes.

At this time, the step of evaluating the hearing state of the hearing aid user may include: collecting state information about the hearing state of the hearing aid user; Evaluating a hearing state of the hearing aid user; Selecting a hearing aid corresponding to the evaluated hearing condition, and obtaining hearing aid test wearing data obtained by wearing the selected hearing aid by the hearing aid user; Selecting a hearing aid to be worn by the hearing aid user based on the test wear data; And obtaining information on the impression of the user's ear to determine the physical characteristics of the hearing aid to be worn. It may further include.

At this time, the step of collecting the status information for the hearing state comprises: collecting background information of the hearing aid user; Based on the collected background information, at least one of basic information about the hearing loss status of the user of the hearing aid, basic information about a situation in which difficulties arise due to hearing loss, basic information about a suitable hearing aid, and basic information about hearing training Obtaining a; Obtaining a questionnaire question for obtaining detailed information based on the obtained basic information; Obtaining response information of the hearing aid user for the questionnaire question; And at least one of the detailed information on the hearing loss state of the hearing aid user, the detailed information on the situation in which difficulties are caused by hearing loss, the detailed information on the suitable hearing aid and the detailed information on hearing training based on the answer information. Obtaining; It may include.

At this time, the step of collecting state information about the hearing state comprises: acquiring data on the ear canal state of the hearing aid user; Acquiring at least one data of pure hearing hearing test data, speech and hearing test data, acoustic reflection threshold data, unpleasant volume level data, and maximum comfortable volume level data of the hearing aid user; The step of acquiring the test wear data includes: data on the external auditory meatus condition and pure tone hearing test data, speech and hearing test data, acoustic reflection threshold data, unpleasant volume level data, and maximum comfortable volume level data of the hearing aid user Obtaining the test wear data based on at least one of the data; It may include.

At this time, the step of acquiring information about the impression of the ear may include: directly receiving an ear impression of the hearing aid user or receiving at least one image of the ear impression; Obtaining a 3D image of the outer ear including the ear canal of the hearing aid user based on the received at least one ear impression image; It may include; obtaining information to produce an ear canal model of a hearing aid user based on the collected ear impression or to produce an ear canal model based on a 3D image, and transmitting the acquired information to a 3D printer.

At this time, the step of acquiring the parameter may include receiving data for changing the state of the hearing aid from a hearing aid worn by the hearing aid user; Obtaining a parameter for changing the state of the hearing aid based on the received data; Correcting the hearing aid based on the acquired parameters; And receiving usage data for the corrected hearing aid to obtain result data for the corrected hearing aid. The usage data for the corrected hearing aid includes coupler measurement data, real measurement data, and sound field measurement data. It can be obtained based on.

At this time, the step of providing the hearing training program to the user of the hearing aid includes information on background noise in the living space of the hearing aid user, information about the speech recognition level and speech rate of the hearing aid user, and the average speech rate of the general public. Collecting background information including information about; Determining a background noise and an utterance rate to be included in the hearing training program based on the collected background information; Generating an auditory training program based on the determined background noise and utterance speed; Receiving result data for the hearing training program and hearing aid wearing from the hearing aid user; And generating a result report for the hearing aid user based on the received result data. Including, the generated hearing training program may determine whether to include visual cues, phonemes, word and sentence difficulty, sentence length, environment sounds, and music according to the background information of the hearing aid user.

At this time, the control method may include: storing a plurality of first data for each of the plurality of users, including background information of a plurality of hearing aid users, answer information for the questionnaire question, and detailed information obtained from the answer information; Storing a plurality of second data for each of the plurality of users, including the hearing training program of the plurality of hearing aid users and result data on wearing a hearing aid; Clustering the plurality of first data to obtain a plurality of first clusters; Clustering the plurality of second data to obtain a plurality of second clusters; Obtaining background information and response information for a new first hearing aid user; Determining a first-first cluster related to background information and answer information about the acquired first hearing aid user among the plurality of first clusters; Determining a 2-1 cluster existing within a predetermined distance from the 1-1 cluster among the plurality of second clusters; And recommending a hearing aid and hearing training program suitable for the first hearing aid user based on the data included in the 2-1 agent cluster. It may include.

Other specific matters of the present invention are included in the detailed description and drawings.

According to various embodiments of the present invention described above, the user of the hearing aid can use the hearing aid optimized for him, and increase satisfaction with the use of the hearing aid through continuous training.

The effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the following description.

1 is a view for explaining a system according to an embodiment of the present invention.
Figure 2 is a flow chart for explaining a hearing aid fit management method according to an embodiment of the present invention.
3 to 5 are flowcharts for explaining the operation of the evaluation module according to an embodiment of the present invention.
Figure 6 is a flow chart for explaining the method of collecting the attribution of the present invention.
7 is a flow chart for explaining the operation of a suitable module according to an embodiment of the present invention.
8 is a flowchart for explaining the operation of the follow-up action module according to an embodiment of the present invention.
9 is a flowchart illustrating a hearing aid recommendation method according to an embodiment of the present invention.
10 is a configuration diagram of an apparatus according to an embodiment of the present invention.

Advantages and features of the present invention, and methods for achieving them will be clarified with reference to embodiments described below in detail together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, and only the present embodiments allow the disclosure of the present invention to be complete, and are common in the technical field to which the present invention pertains. It is provided to fully inform the skilled person of the scope of the present invention, and the present invention is only defined by the scope of the claims.

The terminology used herein is for describing the embodiments and is not intended to limit the present invention. In the present specification, the singular form also includes the plural form unless otherwise specified in the phrase. As used herein, “comprises” and / or “comprising” does not exclude the presence or addition of one or more other components other than the components mentioned. Throughout the specification, the same reference numerals refer to the same components, and “and / or” includes each and every combination of one or more of the components mentioned. Although "first", "second", etc. are used to describe various components, it goes without saying that these components are not limited by these terms. These terms are only used to distinguish one component from another component. Therefore, it goes without saying that the first component mentioned below may be the second component within the technical spirit of the present invention.

Unless otherwise defined, all terms (including technical and scientific terms) used in the present specification may be used as meanings commonly understood by those skilled in the art to which the present invention pertains. In addition, terms defined in the commonly used dictionary are not ideally or excessively interpreted unless explicitly defined.

The term "part" or "module" as used in the specification refers to a hardware component such as software, FPGA, or ASIC, and "part" or "module" performs certain roles. However, "part" or "module" is not meant to be limited to software or hardware. The "unit" or "module" may be configured to be in an addressable storage medium or may be configured to reproduce one or more processors. Thus, as an example, "part" or "module" means components, processes, functions, attributes, such as software components, object-oriented software components, class components and task components. Includes procedures, subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, database, data structures, tables, arrays and variables. The functionality provided within components and "parts" or "modules" can be combined into a smaller number of components and "parts" or "modules" or into additional components and "parts" or "modules" Can be further separated.

The spatially relative terms “below”, “beneath”, “lower”, “above”, “upper”, etc., are as shown in the figure. It can be used to easily describe a correlation between a component and other components. Spatially relative terms should be understood as terms including different directions of components in use or operation in addition to the directions shown in the drawings. For example, if a component shown in the drawing is turned over, a component described as "below" or "beneath" of another component will be placed "above" the other component. Can be. Accordingly, the exemplary term “below” can include both the directions below and above. The component can also be oriented in other directions, so that spatially relative terms can be interpreted according to the orientation.

In the present specification, the computer means all kinds of hardware devices including at least one processor, and may be understood as a meaning encompassing software configurations operating in the corresponding hardware device according to embodiments. For example, a computer may be understood as meaning including, but not limited to, a smart phone, a tablet PC, a desktop, a laptop, and a user client and application running on each device.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

Each step described in this specification is described as being performed by a computer, but the subject of each step is not limited thereto, and according to an embodiment, at least some of the steps may be performed in different devices.

Meanwhile, in the present specification, hearing means a process of detecting, discriminating, confirming, and recognizing sound. Hearing impaired means a person with hearing impairment in one or both ears. Hearing aid refers to an electroacoustic wear device designed for processing sound signals for the purpose of compensating for hearing loss. A hearing aid system means an individual customized system composed of related components such as one or both hearing aids, earplugs, remote control devices, and connectors. Hearing aid professional refers to a person who has hearing ability to provide hearing aid fitness management services including hearing aid selection, adjustment, verification, and hearing training for hearing impaired persons. . A client or a hearing aid user means a hearing aid expert or a person receiving a hearing aid conformity management service provided by a hearing aid conformance management system. Hearing aid fitting management Comprehensive management system including evaluation module, fit module and follow-up module. Consultation, hearing test, hearing aid test wear, hearing aid selection, ear impression collection, hearing aid adjustment, verification, customer training, It refers to a systematic process to help hearing impaired people wearing hearing aids improve hearing, improve speech perception, and continuously use and manage hearing aids by implementing 11 components of hearing training, result measurement, and comprehensive report preparation. Auditory rehabilitation refers to a systematic and comprehensive process of improving hearing skills and communication skills through hearing aid conditioning, counseling, education and various training. The assessment module refers to the process of hearing aid conformance management that includes the five components of all stages of hearing aid fitness: counseling, hearing testing, hearing aid trial wearing, hearing aid selection and ear impression collection and procedures between components. The fitting module refers to a module for performing the process of hearing aid fit management including the three components of the hearing aid fit phase, including hearing aid adjustment, verification, and customer training and procedures between components. The follow-up module means a module for performing the process of hearing aid fitness management including the three components of hearing aid fitness, hearing training, outcome measurement and overall report preparation and procedures between components. . Counseling refers to the process of providing and supporting comprehensive information about a customer's or their family's hearing loss status, difficulties caused by hearing loss, hearing aid fit, and hearing training. Hearing evaluation refers to the process of grasping the hearing loss type and degree and the degree of communication by measuring the hearing threshold and speech recognition ability before selecting a hearing aid. Hearing aid trial refers to the process of actually experiencing a hearing aid adjusted to the hearing condition of the customer in all stages of hearing aid selection in order to select a hearing aid suitable for the hearing loss condition of the customer. Hearing aid selection refers to the process of determining the type of hearing aid suitable for a customer based on hearing aid test results and hearing background information. Ear impression refers to the process of replicating the shape of the ear canal and the instep to create the shape of an earplug or hearing aid. Hearing aid adjustment refers to the hearing aid's external characteristics and wearing status for physical comfort when wearing it, and changes it if necessary. Also, it is based on hearing evaluation results and prescriptions in consideration of speech recognition ability improvement and acoustic comfort. This refers to the process of optimizing the electroacoustic characteristics of the hearing aid. Verification for hearing aid adjustment refers to the process of evaluating hearing aid adjustment results through coupler measurement, real ear measurement, or sound field measurement and questionnaire response of electroacoustic and psychoacoustic aspects. Client education refers to the process of providing information related to the use of hearing aids and information necessary to establish realistic expectations of customers for hearing aids, such as how to operate hearing aids, how to inspect hearing aids, and how to solve problems that may occur when using hearing aids. Auditory training (auditory training) refers to a learning process that includes intensive and repetitive listening exercises and communication strategies over a period of time to improve the communication skills of deaf people. Outcome measurements are the process of multi-dimensional evaluation of hearing aid users 'wearing results in terms of acoustic and psychosocial aspects. Generally speaking, hearing aid users' perception of speech, objective benefits, quality of sound, and improvement in hearing effort It includes both objective and subjective assessments such as frequency of hearing aid use and satisfaction. Comprehensive report or result report means a report that reflects key information arising from the overall process of hearing aid compliance management. An ear mold refers to a mechanically-acoustic connection device between a hearing aid and an external auditory meatus individually manufactured or selected. The client profile (client profile) refers to comprehensive information related to hearing, including not only the auditory background information of the customer, but also hearing function, social situation, activity opportunities, hearing aid needs, and expectations. A fitting system refers to a set of equipment such as computers and suitable software used to control a hearing aid. Pre-setting of hearing aids refers to hearing aid adjustments based on conformity formulas and relevant hearing information. Fine-tuning refers to the tuning of a hearing aid system that best meets the needs and preferences of individual hearing loss.

1 is a view for explaining a system according to an embodiment of the present invention.

The system according to the present invention may consist of a server 10 and an electronic device 20.

The server 10 is configured to receive and analyze various data from the electronic device 20. The server 10 may include a memory and a processor, and the memory of the server may perform its functions according to the control of the processor, including an evaluation module, a conformity module, and a follow-up module.

Specifically, the evaluation module is a module for processing data related to hearing aid user consultation, hearing aid user hearing test, hearing aid test wear, hearing aid selection and ear impression collection. The fitness module is a module for processing hearing aid adjustment, hearing aid adjustment verification, and customer training related data. The follow-up action module is a module for processing data related to hearing training, result measurement and comprehensive report.

Specifically, the evaluation module may process data related to the consultation content of the hearing aid user. In one embodiment, the evaluation module may collect comprehensive information about the hearing loss status of the customer, difficulty due to hearing loss, hearing aid fit, hearing training, etc. to the hearing aid user or their family. At this time, it is desirable that the evaluation module establishes realistic expectations for hearing aids and collects emotional anxiety factors related to hearing loss. In addition, the evaluation module may further collect information on factors that may affect hearing aid operation, such as visual and small muscle movement damage. Of course, the evaluation module can use scientifically verified psychoacoustic questionnaire and psychosocial questionnaire to collect background information.

In addition, the evaluation module can grasp the form and degree of hearing loss and the degree of communication ability through the evaluation of the pure speech hearing threshold and speech perception to select a hearing aid suitable for a hearing aid user. Specifically, the evaluation module may collect information on the state of the ear canal of the hearing aid user, and may collect data on a pure tone hearing test and a speech hearing test. The pure tone hearing test complies with KS I ISO 8253-1, and shielding can be applied if necessary. In addition, the evaluation module determines the hearing threshold at frequencies of 500 Hz, 1 000 Hz, 2 000 Hz, 3 000 Hz, 4 000 Hz, 6 000 Hz, and 8 000 Hz for airways and 500 Hz for bone marrow The hearing threshold can be determined at frequencies of 1 000 Hz, 2 000 Hz and 4 000 Hz. Speech auditing can be verified by the speech testing tools and procedures specified in KS I ISO 8253-3. At this time, speech can be presented to one ear or both ears in a sound field through earphones. Of course, in order to represent the real environment, speech can be presented in a noisy environment rather than a quiet environment. Furthermore, if necessary, the evaluation module can collect various data through acoustic reflection threshold measurement, unpleasant volume level measurement, and maximum comfortable volume level measurement.

In addition, the evaluation module determines the hearing aid for the test selected and adjusted according to the hearing condition of the hearing aid user based on the hearing evaluation result and the hearing background information at the stage before selecting the hearing aid, and the hearing aid user collects data using the hearing aid for examination. Can be. This is for establishing realistic expectations of hearing aid users' use of hearing aids, and it is preferable that the hearing aids for examination are subjected to sound field examination (KS I ISO 8253-3) in both ear trials and wearing states.

In addition, the evaluation module may determine the type of hearing aid suitable for the user of the hearing aid based on the data collected through the hearing aid test wearing results. At this time, the evaluation module may determine the type of hearing aid based on the shape of the hearing aid, the anatomical characteristics of the user, and aesthetic factors. In particular, the evaluation module can further determine the earplugs, hearing aid type, vents and other physical and acoustic features of the hearing aid.

In addition, in the case of a customized hearing aid such as an earring type or eardrum type hearing aid, the evaluation module may receive data on the ear canal and the instep to produce an earring or hearing aid appearance through the collection of ear impressions.

The fit module can perform functions necessary for the fit of the hearing aid. Specifically, the fit module may perform physical adjustment for physical comfort and improvement of speech perception and electroacoustic adjustment for acoustic comfort when wearing a hearing aid. Specifically, the physical adjustment is an adjustment related to the appearance of the hearing aid, the wearing state, the earring, and the like, and continuously collects data on the wearing state from the hearing aid user, so that the physical properties can be changed and modified until the comfort of the wear is optimized. Electroacoustic adjustment primarily selects the appropriate formula according to the input background information data and acoustic coupling characteristics of the hearing aid, and primarily improves the electroacoustic characteristics of the hearing aid, such as gain, maximum output, compression ratio, compression threshold, compression time, and release time. This is an adjustment for initial setting of the hearing aid and is secondary. Secondly, through close interaction with the hearing aid user, the electroacoustic characteristics are finely adjusted so that the hearing aid user is satisfied while wearing the hearing aid system according to the needs and preferences of the hearing aid user. It is a coordinating adjustment. When data that is unsatisfactory from the hearing aid user is collected, the fitness module can fine tune the hearing aid by acquiring new parameters to improve the hearing aid control. In addition, the suitable module receives the hearing aid image from the hearing aid user, checks the appearance of the hearing aid (e.g., scratches that may hurt, ordered parts, etc.), checks the hearing aid wearing status, and checks the hearing aid performance (KS C IEC 60118-7), sound quality, speech recognition, etc., feedback, closing phenomenon, etc., and various sound levels can be checked.

In addition, the fit module may perform a hearing aid adjustment verification process. Specifically, the fit module may evaluate the hearing aid adjustment result through coupler measurement, real ear measurement or sound field measurement, and questionnaire response. The fit module provides a coupler gain that compares the hearing aids located inside the hearing aid test box by connecting them to the coupler, or compares the actual gain of hearing aids before and after wearing the hearing aid in the actual ear and the sound field gain of comparing hearing aids before and after wearing the sound field. Data can be received to verify the results of hearing aid adjustment. Alternatively, the fitness module may verify the improvement of hearing ability after adjusting the hearing aid through the subjective response using the questionnaire, or verify the physical adjustment state of the hearing aid.

In addition, the suitable module may provide the electronic device 20 with background noise similar to the actual daily situation of the hearing aid user recorded based on the auditory background information to verify that the hearing aid user has no discomfort in a specific noise situation. The conformance module is a calibrator based on data measured by a coupler according to KS C IEC 60118-7, real measurement data measured according to IEC 61669, sound field inspection data measured according to KS I ISO 8253-2, and questionnaire evaluation Conformity verification can be performed.

In addition, the suitable module may collect data on the use of the hearing aid from the user of the hearing aid, and guide information on the training of the hearing aid user based on the collected data. For example, the conformance module can provide hearing aid users with the necessary hearing aid operation, troubleshooting, hearing aid inspection methods, and the necessary information related to the use of hearing aids, as well as the information needed to establish hearing aid users' realistic expectations for hearing aids wearing and hearing aids. In particular, users who have no experience in using hearing aids can provide comprehensive information on the adjusted hearing aids and available assistive hearing equipment.

The follow-up action module is a module for performing hearing training, measuring overall results related to wearing a hearing aid, and writing a comprehensive report based on the results. Specifically, the follow-up action module may generate and provide a hearing training program for improving communication ability through hearing aids in various environments. The hearing training program may determine whether background noise is present, whether a visual cue is present, phoneme, word, sentence level, sentence length, speaking speed, environment sound type, and music type according to the background information of the hearing aid user.

In addition, the follow-up action module uses a hearing aid to change the degree of speech perception, objective gain, quality of sound, and effort to listen to the hearing aid user in order to multi-dimensionally evaluate the hearing effect of the hearing aid user in relation to the acoustic and psychological aspects of the hearing aid user. Information about frequency, psychoacoustic benefits, psychosocial benefits, and satisfaction can be collected. The follow-up action module may generate a result report based on the information collected above.

The electronic device 20 is configured to transmit various data related to the hearing aid user's use of the hearing aid to the server 10. The electronic device 20 may be implemented as a smart phone to transmit various data about the hearing aid user to the server 10, but is not limited thereto. For example, the electronic device 20 is implemented as a hearing aid, and it is needless to say that the data of the hearing aid user can be transmitted to the server 10 according to user interaction.

Further, according to various embodiments of the present invention, the electronic device 20 includes a tablet personal computer (PC), a mobile phone, a video phone, an e-book reader, and a desktop PC. , Laptop PC, netbook computer, workstation, server, personal digital assistant (PDA), portable multimedia player (PMP), MP3 player, mobile medical device, camera, or wearable device ( wearable device). According to various embodiments, the wearable device may be an accessory type (for example, a watch, ring, bracelet, anklet, necklace, glasses, contact lens, or head-mounted device (HMD)), a fabric, or a garment type ( For example, it may include at least one of an electronic garment, a body attachment type (for example, a skin pad or a tattoo), or a living body implantation type (for example, an implantable circuit).

As another embodiment, the electronic device 20 may be a home appliance. Household appliances include, for example, televisions, DVD players (Digital Video Disk players), audio, refrigerators, air conditioners, vacuum cleaners, ovens, microwave ovens, washing machines, air cleaners, set-top boxes, and home automation. Home automation control panel, security control panel, TV box (eg Samsung HomeSync ™, Apple TV ™, or Google TV ™), game console (eg Xbox ™, PlayStation ™), electronics It may include at least one of a dictionary, an electronic key, a camcorder, or an electronic picture frame.

As another embodiment, the electronic device 20 includes various medical devices (eg, various portable medical measurement devices (such as a blood glucose meter, heart rate monitor, blood pressure meter, or body temperature meter), magnetic resonance angiography (MRA), magnetic resonance (MRI) imaging), CT (computed tomography), imager, or ultrasound, etc., Internet of things (e.g. light bulbs, various sensors, electricity or gas meters, sprinkler devices, fire alarms, thermostats, street lights) , Toaster (toaster), exercise equipment, hot water tank, heater, boiler, etc.).

Hereinafter, various embodiments of the present invention will be described in detail.

Figure 2 is a flow chart for explaining a hearing aid fit management method according to an embodiment of the present invention.

In step S100, the server 10 may evaluate the hearing state of the hearing aid user by the evaluation module.

In step S200, the server 10 may obtain parameters suitable for the hearing aid user by the appropriate module. Based on the acquired parameters, the server 10 may correct the physical or acoustic characteristics of the hearing aid.

At this time, according to an embodiment of the present invention, parameters may be calculated by applying the following formula according to each condition. For convenience of explanation, X1 is defined as the HTL (Hearing Threshold Level), X2 is the volume of the input sound, and Y (XX) is defined as a parameter under condition XX. In addition, it is assumed that when the calculated Y (XX) <0, Y (XX) = 0. In addition, parameters can be calculated for each of the eight frequency bands. At this time, the eight frequency bands are the first frequency band for the center frequency of 250 Hz, the second frequency band for the center frequency of 500 Hz, the third frequency band for the center frequency of 800 Hz, the fourth frequency band for the center frequency of 1000 Hz, and the center frequency of 1600 Hz. It may be a fifth frequency band for, a sixth frequency band for a center frequency of 2500 Hz, a seventh frequency band for a center frequency of 4000 Hz, and an eighth frequency band for a center frequency of 6000 Hz. The frequency band is determined based on the center frequency, for example, 8 frequency bands are 0Hz to 400Hz, 350Hz to 750Hz, 700Hz to 950HZ, 900HZ to 1500Hz, 1400HZ to 2300Hz, 2200Hz to 3600Hz, 3500Hz to 5500HZ, 5000HZ ~ It may be 11000Hz.

In the first embodiment, the extended threshold level (ET) is ET30, X2 = <30 dB SPL (Sound Pressure Level) parameter Y (ET30) for each frequency band, Y (ET30) = 0.714 in the first frequency band X1 + 0.041X2-37.243, Y (ET30) = 0.630X1 + 0.201X2-20.364 in the second frequency band, Y (ET30) = 0.598X1 + 0.251X2-13.206 in the third frequency band, Y (in the fourth frequency band ET30) = 0.566X1 + 0.288X2-3.016, Y (ET30) = 0.548X1 + 0.289X2-0.327 in 5th frequency band, Y (ET30) = 0.513X1 + 0.289X2 + 2.934, 7th frequency in 6th frequency band In the band, Y (ET30) = 0.302X1 + 0.167X2 + 4.271, and in the eighth frequency band, Y (ET30) = 0.240X1 + 0.128X2 + 1.266.

In the second embodiment, the parameter Y (ET40) for each frequency band at the extended threshold level ET is ET40, X2 = <40dB SPL, Y (ET40) = 0.714X1 + 0.016X2 − in the first frequency band 37.243, Y (ET40) = 0.630X1 + 0.075X2-20.364 in the second frequency band, Y (ET40) = 0.598X1 + 0.094X2-13.206 in the third frequency band, Y (ET40) = 0.566X1 in the fourth frequency band + 0.108X2-3.016, in the 5th frequency band Y (ET40) = 0.548X1 + 0.108X2-0.327, in the 6th frequency band Y (ET40) = 0.513X1 + 0.108X2 + 2.934, in the 7th frequency band Y (ET40 ) = 0.302X1 + 0.063X2 + 4.271, and Y (ET40) = 0.240X1 + 0.048X2 + 1.266 in the eighth frequency band.

In a third embodiment, X2 = <40dB SPL, and the parameter Y (Lin1) for each frequency band in a hearing aid using a linear amplification method is

In the first frequency band Y (Lin1) = 0.714X1-37.243, in the second frequency band Y (Lin1) = 0.630X1-20.364, in the third frequency band Y (Lin1) = 0.598X1-13.206, in the fourth frequency band Y (Lin1) = 0.566X1-3.016, in the fifth frequency band Y (Lin1) = 0.548X1-0.327, in the sixth frequency band Y (Lin1) = 0.513X1 + 2.934, in the seventh frequency band Y (Lin1) = It may be 0.302X1 + 4.271, Y (Lin1) = 0.240X1 + 1.266 in the eighth frequency band.

In the fourth embodiment, X2 = <50dB SPL, and the parameter Y (Lin2) for each frequency band in a hearing aid using a linear amplification method is Y (Lin2) = 0.714X1-37.243, second in the first frequency band. In the frequency band Y (Lin2) = 0.630X1-20.364, in the third frequency band Y (Lin2) = 0.598X1-13.206, in the fourth frequency band Y (Lin2) = 0.566X1-3.016, in the fifth frequency band Y ( Lin2) = 0.548X1-0.327, Y (Lin2) = 0.513X1 + 2.934 in 6th frequency band, Y (Lin2) = 0.302X1 + 4.271 in 7th frequency band, Y (Lin2) = 0.240X1 in 8th frequency band + 1.266.

In a fifth embodiment, X2 = <60dB SPL, and the parameter Y (Lin3) for each frequency band in a hearing aid using a linear amplification method is Y (Lin3) = 0.714X1-37.243, second in the first frequency band. In the frequency band Y (Lin3) = 0.630X1-20.364, in the third frequency band Y (Lin3) = 0.598X1-13.206, in the fourth frequency band Y (Lin3) = 0.566X1-3.016, in the fifth frequency band Y ( Lin3) = 0.548X1-0.327, Y (Lin3) = 0.513X1 + 2.934 in 6th frequency band, Y (Lin3) = 0.302X1 + 4.271 in 7th frequency band, Y (Lin3) = 0.240X1 in 8th frequency band + 1.266.

In the sixth embodiment, the compression threshold level (CT) is CT31, X2> = 31dB The parameter Y (CT31) for each frequency band in SPL is Y (CT31) = 0.714X1-0.062X2-in the first frequency band. 34.143, Y (CT31) = 0.630X1-0.301X2-5.314 in the second frequency band, Y (CT31) = 0.598X1-0.377X2 + 5.644 in the third frequency band, Y (CT31) = 0.566X1 in the fourth frequency band -0.432X2 + 18.584, Y (CT31) = 0.548X1 in the 5th frequency band-0.433X2 + 21.323, Y (CT31) in the 6th frequency band = 0.513X1-0.433X2 + 24.584, Y (CT31 in the 7th frequency band ) = 0.302X1-0.250X2 + 16.771, Y (CT31) = 0.240X1-0.192X2 + 10.866 in the eighth frequency band.

In the seventh embodiment, the compression threshold level (CT) is CT41, X2> = 41dB, and the parameter Y (CT41) for each frequency band in SPL is Y (CT41) = 0.714X1-0.062X2-in the first frequency band. 34.143, Y (CT41) = 0.630X1-0.301X2-5.314 in the second frequency band, Y (CT41) = 0.598X1-0.377X2 + 5.644 in the third frequency band, Y (CT41) = 0.566X1 in the fourth frequency band -0.432X2 + 18.584, in the 5th frequency band Y (CT41) = 0.548X1-0.433X2 + 21.323, in the 6th frequency band Y (CT41) = 0.513X1-0.433X2 + 24.584, in the 7th frequency band Y (CT41 ) = 0.302X1-0.250X2 + 16.771, Y (CT41) = 0.240X1-0.192X2 + 10.866 in the eighth frequency band.

In the eighth embodiment, when the compression threshold level (CT) is CT51, X2> = 51dB SPL, the parameter Y (CT51) for each frequency band is Y (CT51) = 0.714X1-0.062X2-in the first frequency band. 34.143, Y (CT51) = 0.630X1-0.301X2-5.314 in the second frequency band, Y (CT51) = 0.598X1-0.377X2 + 5.644 in the third frequency band, Y (CT51) = 0.566X1 in the fourth frequency band -0.432X2 + 18.584, in the 5th frequency band Y (CT51) = 0.548X1-0.433X2 + 21.323, in the 6th frequency band Y (CT51) = 0.513X1-0.433X2 + 24.584, in the 7th frequency band Y (CT51 ) = 0.302X1-0.250X2 + 16.771, Y (CT51) = 0.240X1-0.192X2 + 10.866 in the eighth frequency band.

In the ninth embodiment, when the compression threshold level (CT) is CT61, X2> = 61dB SPL, the parameter Y (CT61) for each frequency band is Y (CT61) = 0.714X1-0.078X2-in the first frequency band. 33.507, Y (CT61) = 0.630X1-0.37625X2 +2.211 in the second frequency band, Y (CT61) = 0.598X1-0.47125X2 + 15.069 in the third frequency band, Y (CT61) = 0.566X1 in the fourth frequency band -0.540X2 + 29.384, in the 5th frequency band Y (CT61) = 0.548X1-0.54125X2 + 32.148, in the 6th frequency band Y (CT61) = 0.513X1-0.54125X2 + 35.409, in the 7th frequency band Y (CT61 ) = 0.302X1-0.3125X2 + 23.021, Y (CT61) = 0.240X1-0.240X2 + 15.666 in the eighth frequency band.

In the tenth embodiment, the compression threshold level (CT) is CT71, X2> = 71dB, and the parameter Y (CT71) for each frequency band in SPL is Y (CT71) = 0.714X1-0.103333X2-in the first frequency band. 30.0097, Y (CT71) = 0.630X1-0.501667X2 +14.75267 in the second frequency band, Y (CT71) = 0.598X1-0.628333X2 + 30.77733 in the third frequency band, Y (CT71) = 0.566X1 in the fourth frequency band -0.720X2 + 47.384, Y (CT71) = 0.548X1 in the 5th frequency band, 0.7217X2 + 50.192, Y (CT71) in the 6th frequency band = 0.513X1-0.7217X2 + 53.453, Y (CT71 in the 7th frequency band ) = 0.302X1-0.41667X2 + 33.43767, Y (CT71) = 0.240X1-0.320X2 + 23.666 in the eighth frequency band.

In step S300, the server 10 may provide the hearing aid user with a hearing training program related to the hearing aid corrected based on the parameters obtained in step S200 by the subsequent action module.

A detailed embodiment of steps S100 to S300 will be described below.

3 to 5 are flowcharts for explaining the operation of the evaluation module according to an embodiment of the present invention.

In step S110, the server 10 may collect state information about the hearing state of the hearing aid user.

Status information about the hearing state can be collected through various methods. In one embodiment, status information may be collected based on background information of a hearing aid user.

Specifically, as shown in FIG. 3, in step S111, the server 10 may collect background information of the hearing aid user.

At this time, the background information of the user of the hearing aid may mean all of various data related to the user's hearing. For example, the background information of the hearing aid user may include information on the time at which hearing loss first occurred, information about the approximate hearing loss, body information of the hearing aid user, age information, and disease information.

In step S112, the server 10, based on the collected background information, basic information about the hearing loss state of the hearing aid user, basic information about a situation in which difficulties arise due to hearing loss, basic information about a suitable hearing aid, and basics for hearing training At least one piece of information may be obtained. The basic information is not limited to this, and the basic information further includes information on expectations for hearing aids, information related to emotional anxiety factors related to hearing loss, and other factors that may affect hearing aid operation such as visual and small muscle movement damage. can do.

When the collected background information is insufficient to grasp the basic information, the server 10 may request to transmit additional information to the electronic device 20. However, it is not limited to this, and insufficient information may be supplemented through questionnaire questions.

In step S113, the server 10 may obtain a questionnaire question for obtaining detailed information based on the obtained basic information.

In this case, the detailed information may be information optimized for an individual hearing aid user. The server 10 may obtain a questionnaire question about insufficient information based on the basic information, and transmit the obtained questionnaire question to the electronic device 20.

In step S114, the server 10 may obtain the answer information of the hearing aid user for the questionnaire question.

In step S115, the server 10, based on the response information, among the detailed information about the hearing loss state of the hearing aid user, the detailed information about the situation in which difficulties arise due to hearing loss, the detailed information about the suitable hearing aid and the detailed information about the hearing training At least one detailed information may be obtained.

Returning to FIG. 2 again, in step S120, the server 10 may evaluate the hearing status of the hearing aid user based on the collected status information. At this time, the collected status information is at least one of the detailed information about the hearing loss state of the hearing aid user, the detailed information about the situation in which difficulties arise due to hearing loss, the detailed information about the suitable hearing aid and the detailed information about the hearing training. It can be information.

In step S130, the server 10 may select a hearing aid corresponding to the evaluated hearing state, and obtain the hearing aid test wearing data obtained by wearing the selected hearing aid by a hearing aid user.

At this time, the test wear data may mean data collected while the hearing aid user wears the hearing aid.

Specifically, as shown in FIG. 4, in step S116, the server 10 may obtain data about the ear canal state of the hearing aid user.

In step S117, the server 10 may acquire at least one of the pure tone hearing test data, speech auditory test data, acoustic reflection threshold data, unpleasant volume level data and maximum comfortable volume level data of the hearing aid user.

In step S131, the server 10 is based on at least one of the data on the external auditory meatus condition and the hearing aid user's pure tone hearing test data, speech auditory test data, acoustic reflection threshold data, unpleasant volume level data, and maximum comfortable volume level data. As a result, test wear data can be obtained.

In this case, the test wear data may mean various data obtained while a hearing aid user uses the hearing aid.

In one embodiment, the hearing aid user may obtain data on the condition of the ear canal as test wear data when the hearing aid feels pain because the hearing aid does not fit into the ear according to the use of the hearing aid, or when the hearing aid is physically uncomfortable such as easily falling out. At this time, when the electronic device 20 is a hearing aid equipped with a pressure sensor, the electronic device 20 determines the position where the pressure is applied to the electronic device 20, and determines the appropriate pressure and the detected pressure at the determined position. Can be compared. When the sensed pressure is higher than the appropriate pressure, the electronic device 20 may obtain test wear data that the hearing aid is not suitable for the hearing aid user. At this time, the pressure sensor of the electronic device 20 may be implemented to measure the pressure at a position for fixing the hearing aid by being in close contact with the hearing aid user's ear. For example, in the case of an implantable hearing aid, the pressure sensor may be formed along the surface of the electronic device 20 in close contact with the external auditory meatus. Alternatively, in the case of an ear-shaped hearing aid, the pressure sensor may be formed along the surface of the electronic device 20 in close contact with the user's external auricle. Alternatively, in the case of a hearing aid in which the electronic device 20 has an impact sensor, it may be determined that the shock applied to the electronic device 20 for a predetermined time is equal to or greater than a preset value. That is, when the hearing aid frequently falls from the hearing aid user's ear, an impact may be applied to the electronic device 20 in response to the hearing aid dropping. Accordingly, if an impact over a predetermined value during a predetermined time is detected a predetermined number of times or more, the electronic device 20 may acquire the detection number as test wear data.

In another embodiment, the server 10 may acquire data for a pure tone hearing test or a speech hearing test as test wear data. The server 10 may generate audio data for a pure tone hearing test or speech audition based on detailed information of a hearing aid user, and transmit the generated audio signal to the electronic device 20. The server 10 may obtain result data for the transmitted audio signal as test wear data.

In another embodiment, the server 10 may acquire acoustic reflection threshold data, unpleasant volume level data, and maximum comfortable volume level data as test wear data.

In step S140, the server 10 may select a hearing aid to be worn by the hearing aid user based on the test wear data.

That is, the server 10 may first select a hearing aid based on the detailed information of the hearing aid user, and may select a hearing aid suitable for the hearing aid user based on the test wear data for the first selected hearing aid. Through this, the user of the hearing aid can select the hearing aid optimized for him.

In step S150, the server 10 may obtain information about the impression of the hearing aid user's ear to determine the physical characteristics of the hearing aid to be worn.

That is, the server 10 may collect the impression of the user's ear in order to consider not only the electroacoustic characteristics of the hearing aid but also physical characteristics.

Figure 6 is a flow chart for explaining the method of collecting the attribution of the present invention.

In step S151, the server 10 may receive at least one image of the hearing aid user's ear.

At this time, the image may be an image including the front of the user's ear, the ear canal, and the auricle, and may receive a plurality of images. The server 10 may use the image to obtain a 3D image of the outer ear in step S152, which will be described later.

In one embodiment, the server 10 may determine the exact size of the hearing aid user's outer ear. At this time, the image may include a guide object for determining the outer ear of the hearing aid user. The guide object is, for example, a circular object, and the hearing aid user can attach the guide object to the face around the outer ear and take an image. Since the server 10 knows the actual size information of the guide object, it is possible to obtain size information about the outer ear of the hearing aid user based on the actual size information of the guide object. Furthermore, the server 10 may further acquire tilt information from the attached guide object. When the guide object has an accurate circular shape, the server 10 may acquire tilt information based on the guide object included in the image. That is, if the guide object included in the image exists in a circular shape, the server 10 determines that the image is taken from the front of the guide object. If the guide object included in the image exists in an oval shape, the image is a side surface of the guide object. It can be judged as being filmed in. The server 10 may acquire tilt information on how inclined the image is compared to the guide object based on the lengths of the long and short axes of the elliptical guide object included in the image.

In conclusion, the server 10 may obtain the actual size information of the outer ear of the hearing aid user based on the size information of the guide object included in the image, the tilt information of the guide object included in the image, and the size information of the actual guide object. .

In step S152, the server 10 may obtain a 3D image of the outer ear including the ear canal of the hearing aid user based on the received at least one image.

In step S153, the server 10 may acquire information for producing an attribution image based on the 3D image, and transmit the obtained information to the 3D printer.

However, the present invention is not limited thereto, and the server 10 may immediately determine a hearing aid to be worn by a hearing aid user from the 3D image.

7 is a flowchart illustrating the operation of a suitable module according to an embodiment of the present invention.

In step S210, the server 10 may receive data for changing the state of the hearing aid from the hearing aid worn by the hearing aid user.

In step S220, the server 10 may obtain a parameter for changing the state of the hearing aid based on the received data.

Of course, the parameters for changing the state of the hearing aid may be determined based on at least one of the basic information, detailed information, and test wear data of the various hearing aid users described above.

In step S230, the server 10 may correct the hearing aid based on the obtained parameters. At this time, when the server 10 corrects the hearing aid, it may mean that the electronic device 20 transmits a message instructing to correct the hearing aid. In particular, when the electronic device 20 is a hearing aid, it is directly A control signal for correcting the hearing aid may be transmitted to the electronic device 20.

In step S240, the server 10 may receive the usage data for the corrected hearing aid to obtain the result data for the corrected hearing aid.

8 is a flowchart for explaining the operation of the follow-up action module according to an embodiment of the present invention.

In step S310, the server 10 may collect background information including information about background noise in the living space of the hearing aid user, information about the speech speed of the hearing aid user, and information about the average speech speed of the general public. .

In step S320, the server 10 may determine the background noise and the speech rate to be included in the hearing training program based on the collected background information.

In step S330, the server 10 may generate an auditory training program based on the determined background noise and utterance speed.

In one embodiment, when the speech rate of the hearing aid user is slower than the average speech rate of the general public, the server 10 determines the speech rate of the hearing training program based on the speech rate of the hearing aid user, and gradually the speech of the hearing training program The speed can be increased to the average ignition rate of the general public. Alternatively, when the speech rate of the hearing aid user is faster than the average speech rate of the general public, the server 10 determines the speech rate of the hearing training program based on the average speech rate of the public, and gradually increases the speech rate of the hearing training program. It can be increased at the user's ignition speed.

In another embodiment, the server 10 may generate a hearing training program based on information about the surrounding environment of the hearing aid user. For example, the server 10 acquires background noise information in the home of a hearing aid user, background noise information in the workplace, and background noise information in a moving path, and generates an auditory training program based on the acquired background noise information can do.

In step S340, the server 10 may receive the result data for the hearing training program and hearing aid wearing from the hearing aid user.

In step S350, the server 10 may generate a result report for the hearing aid user based on the received result data.

9 is a flowchart illustrating a hearing aid recommendation method according to an embodiment of the present invention.

In step S410, the server 10 may store a plurality of first data for each of a plurality of hearing aid users. At this time, the plurality of first data may include background information, answer information for the questionnaire question, and detailed information obtained from the answer information.

Furthermore, the server 10 uses all of the background information, the basic information obtained based on the background information, the questionnaire generated based on the basic information, the response information for the questionnaire question, and the result information generated from the answer information as the first data. Of course it can be saved. At this time, the server 10 may store the acquired background information, basic information, questionnaire question, answer information, and result information for each user. That is, the stored first data can be grouped into background information, basic information, questionnaire questions, answer information and result information for the first user, background information, basic information, questionnaire questions, answer information, and result information information for the second user. Can be.

In step S420, the server 10 may store a plurality of second data for a plurality of hearing aid users for each of the plurality of users. In this case, the second data may include result data for the hearing training program and hearing aid wearing.

In step S430, the server 10 may obtain a plurality of first clusters by clustering a plurality of first data.

That is, the server 10 may group data for a plurality of hearing aid users into similar data.

However, the present invention is not limited thereto, and in one embodiment, the server 10 may perform clustering for each of data on background information, basic information, questionnaire question, answer information, and result information. In this case, the server 10 may acquire a plurality of background information clusters, basic information clusters, questionnaire question clusters, answer information clusters, and result information clusters, respectively. The server 10 may match and store each background information cluster, basic information cluster, questionnaire question cluster, answer information cluster, and result information cluster. Specifically, the server 10 includes a first basic information cluster associated with the first background information cluster, a first questionnaire cluster associated with the first basic information cluster, a first answer information cluster and a first answer associated with the first questionnaire cluster The first result information cluster associated with the information cluster may be matched to obtain one first group. In the same way, the server 10 can be grouped by matching all clusters for each background information cluster, basic information cluster, questionnaire question cluster, answer information cluster, and result information cluster. The server 10 may obtain a plurality of first clusters by clustering data for a plurality of grouped groups.

That is, the server 10 classifies background information, basic information, questionnaire question, answer information, and result information included in the first data, and is based on the categorized results, and is not virtual data (ideal). Data about the user can be obtained. For example, when clustering is performed based on the first data for an actual user, there is an error in data classification and analysis when the actual user incorrectly inputs the answer information for the questionnaire and does not obtain accurate detailed information. Can be. Accordingly, when creating a group for background information, basic information, questionnaire question, answer information, and result information based only on information obtained by each user, there is an effect of reducing the above-described error.

In step S440, the server 10 may obtain a plurality of second clusters by clustering a plurality of second data.

In step S450, the server 10 may acquire background information and answer information for the new first hearing aid user.

Furthermore, of course, the server 10 can receive all background information, basic information, questionnaire questions, answer information, and result information from the first hearing aid user.

In step S460, the server 10 may determine a 1-1 cluster related to background information and answer information for a first hearing aid user among a plurality of first clusters.

In step S470, the server 10 may determine a 2-1 cluster existing within a predetermined distance from the 1-1 cluster among the plurality of second clusters.

In step S480, the server 10 may recommend a hearing aid and hearing training program suitable for the first hearing aid user based on the data included in the 2-1 cluster.

That is, the first hearing aid user will have background information similar to the hearing aid user belonging to the first-first cluster. Accordingly, the server 10 acquires the 2-1 cluster associated with the user of the 1-1 cluster, obtains the 2-1 cluster, and based on the data included in the acquired 2-1 cluster, the first Hearing aids and hearing training programs suitable for hearing aid users can be recommended.

However, according to various embodiments of the present invention, the server 10 may store a plurality of hearing aid users' test wear data and cluster them to generate a plurality of third clusters. The server 10 determines a 3-1 cluster existing within a predetermined distance from the 1-1 cluster among a plurality of third clusters, and exists within a preset distance from the 3-1 cluster among the plurality of second clusters It goes without saying that the 2-1 cluster may be determined. Alternatively, the server 10 may determine the 2-1 cluster such that the 2-1 cluster is within a predetermined distance from both the 1-1 cluster and the 3-1 cluster.

According to another embodiment, the clustering process may be performed separately by classifying the physical and electroacoustic characteristics of the hearing aid. Specifically, the server 10 acquires a first cluster with a plurality of first data of background information, basic information, questionnaire questions, answer information, and result information on the physical characteristics of the hearing aid, and trains the hearing ability on the physical characteristics of the hearing aid. The second cluster may be obtained by using the result data for the program and hearing aid wearing as a plurality of second data. In addition, separately from this, the server 10 acquires a first cluster with a plurality of first data of background information, basic information, questionnaire questions, answer information, and result information on the electroacoustic characteristics of the hearing aid, and obtains the electroacoustic sound of the hearing aid. A second cluster may be obtained using a plurality of second data as result data of hearing training programs and hearing aids for the enemy characteristics. That is, the server 10 can independently determine physical and electroacoustic characteristics having independent characteristics and recommend a hearing aid and hearing training program suitable for the first hearing aid user.

10 is a configuration diagram of an apparatus according to an embodiment of the present invention.

The processor 102 may include one or more cores (not shown) and a connection passage (for example, a bus) for transmitting and receiving signals to and from a graphic processing unit (not shown) and / or other components. .

The processor 102 according to an embodiment performs the methods described with respect to FIGS. 1 to 9 by executing one or more instructions stored in the memory 104.

For example, the processor 102 acquires new learning data by executing one or more instructions stored in memory, and uses the trained model to perform tests on the acquired new learning data, and the test results and labeling. Extracts the first learning data obtained by the obtained information with an accuracy equal to or greater than a predetermined first reference value, deletes the extracted first learning data from the new learning data, and extracts the new learning data from which the extracted learning data is deleted. By using it, the trained model can be trained again.

On the other hand, the processor 102 is a RAM (Random Access Memory, not shown) and a ROM (Read-Only Memory) that temporarily and / or permanently stores signals (or data) processed inside the processor 102. , Not shown). Further, the processor 102 may be implemented in the form of a system on chip (SoC) including at least one of a graphic processing unit, RAM, and ROM.

Programs (one or more instructions) for processing and controlling the processor 102 may be stored in the memory 104. Programs stored in the memory 104 may be divided into a plurality of modules according to functions.

The steps of a method or algorithm described in connection with an embodiment of the present invention may be implemented directly in hardware, a software module executed by hardware, or a combination thereof. The software modules may include random access memory (RAM), read only memory (ROM), erasable programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, hard disk, removable disk, CD-ROM, or It may reside on any type of computer readable recording medium well known in the art.

The components of the present invention may be implemented as a program (or application) to be executed in combination with a hardware computer, and stored in a medium. The components of the present invention can be implemented in software programming or software components, and similarly, embodiments include C, C ++, including various algorithms implemented in a combination of data structures, processes, routines or other programming components. , Can be implemented in programming or scripting languages such as Java, assembler, etc. Functional aspects can be implemented with algorithms running on one or more processors.

The embodiments of the present invention have been described above with reference to the accompanying drawings, but a person skilled in the art to which the present invention pertains may implement the present invention in other specific forms without changing its technical spirit or essential features. You will understand. Therefore, it should be understood that the above-described embodiments are illustrative in all respects and not restrictive.

10: Server
20: electronic device

Claims (1)

In the control method of the hearing aid compliance management system performed by the server,
Evaluating the hearing status of the hearing aid user by the evaluation module;
Obtaining a parameter suitable for the user of the hearing aid by a suitable module; And
Providing the hearing aid user with a hearing training program related to the hearing aid corrected by the parameter by a follow-up action module; Including,
The step of obtaining the parameters,
Receiving data for changing a hearing aid state from a hearing aid worn by the hearing aid user;
Obtaining a parameter for changing the state of the hearing aid based on the received data;
Correcting the hearing aid based on the acquired parameters; And
Includes; receiving the use data for the corrected hearing aid to obtain the result data for the corrected hearing aid;
The used data for the corrected hearing aid is obtained based on coupler measurement data, real ear measurement data, and sound field measurement data,
Evaluating the hearing state of the user of the hearing aid,
Collecting state information about a hearing state of the hearing aid user;
Evaluating the hearing status of the hearing aid user based on the collected status information;
Selecting a hearing aid corresponding to the evaluated hearing state, and obtaining hearing aid test wearing data obtained by wearing the selected hearing aid by the hearing aid user;
Selecting a hearing aid to be worn by the hearing aid user based on the test wear data; And
Obtaining information about the impression of the user's ear to determine a physical characteristic of the hearing aid to be worn; Further comprising,
The step of providing the hearing training program to the hearing aid user,
Collecting background information including information about the background noise in the living space of the hearing aid user, information about the speech recognition level and speech speed of the hearing aid user, and information about the average speech speed of the general public;
Determining a background noise and an utterance rate to be included in the hearing training program based on the collected background information;
Generating an auditory training program based on the determined background noise and utterance speed;
Receiving result data for the hearing training program and hearing aid wearing from the hearing aid user; And
Generating a result report for the hearing aid user based on the received result data; Including,
The generated hearing training program determines whether visual cues, phonemes, word and sentence difficulty, sentence length, environment sounds, and music are included according to the background information of the hearing aid user,
The control method,
Storing a plurality of first data for each of the plurality of users including background information of a plurality of hearing aid users, answer information on a questionnaire question, and detailed information obtained from the answer information;
Storing a plurality of second data for each of the plurality of users, including the hearing training program of the plurality of hearing aid users and result data on wearing a hearing aid;
Clustering the plurality of first data to obtain a plurality of first clusters;
Clustering the plurality of second data to obtain a plurality of second clusters;
Obtaining background information and response information for a new first hearing aid user;
Determining a first-first cluster related to background information and answer information about the acquired first hearing aid user among the plurality of first clusters;
Determining a 2-1 cluster existing within a predetermined distance from the 1-1 cluster among the plurality of second clusters; And
Recommending a hearing aid and hearing training program suitable for the first hearing aid user based on the data included in the 2-1 cluster; Control method comprising a.

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