CN116506786B

CN116506786B - Hearing-aid device performance intelligent monitoring method, system and medium

Info

Publication number: CN116506786B
Application number: CN202310531744.5A
Authority: CN
Inventors: 戴威村
Original assignee: Shenzhen Yitoa Digital Technology Co ltd
Current assignee: Shenzhen Yitoa Digital Technology Co ltd
Priority date: 2023-05-12
Filing date: 2023-05-12
Publication date: 2024-05-31
Anticipated expiration: 2043-05-12
Also published as: CN116506786A

Abstract

The invention discloses a hearing-aid device performance intelligent monitoring method, a system and a medium, wherein the method comprises the following steps: preprocessing external acoustic information and sound information output by hearing aid equipment to obtain environment sound source information and equipment sound source information; then, an intelligent hearing aid device performance detection model is built according to the method; respectively extracting a plurality of characteristic values of the environment sound source information and the equipment sound source information, and carrying out reconstruction processing to obtain a plurality of indication heterogeneous parameters; further obtaining the hearing aid effect index and the hearing aid performance effect grade; and obtaining matched performance parameter adjustment information according to the performance effect level of the hearing-aid equipment, and carrying out parameter adjustment on the hearing-aid equipment according to the performance parameter adjustment information. According to the invention, by acquiring external acoustic information and the acoustic information output by the hearing aid device, intelligent monitoring and adjustment of the performance of the hearing aid device can be realized, the problems of poor effect and complicated adjustment in the use of the hearing aid device are solved, and better hearing experience is brought to hearing impaired patients.

Description

Hearing-aid device performance intelligent monitoring method, system and medium

Technical Field

The application relates to the field of hearing aid device performance, in particular to an intelligent hearing aid device performance monitoring method, system and medium.

Background

The hearing aid device, as the name implies, is a medical device for assisting a hearing impaired patient, and the hearing impaired patient can hear external sounds by amplifying sound signals, so that communication with the outside is facilitated.

At present, when a hearing-impaired patient purchases hearing-aid equipment, the hearing-impaired patient not only needs to go to a professional detection mechanism to detect the hearing loss condition, but also determines the technical parameters of the hearing-aid equipment according to the hearing loss condition, so as to set the hearing compensation of the hearing-aid equipment and meet the requirements of the hearing-impaired patient. The use, parameter adjustment, etc. of the existing hearing aid devices are still inconvenient. Because the phenomenon that the external sound source cannot be heard by the hearing-impaired patient, even if the phenomenon that the equipment output sound effect is poor due to the technical parameter discomfort of hearing-aid equipment occurs in the use process, the hearing-impaired patient cannot timely perceive the phenomenon, the use effect and the use experience of the hearing-impaired patient are affected, and even if the hearing-impaired patient is found, the hearing-impaired patient cannot be quickly and conveniently adjusted, so that the existing auxiliary hearing equipment cannot solve the problems temporarily, and the technical problem of insufficient intelligence exists.

In view of the above problems, an effective technical solution is currently needed.

Disclosure of Invention

The embodiment of the application aims to provide a hearing-aid device performance intelligent monitoring method, system and medium, which can monitor the hearing-aid device performance through multi-indication heterogeneous parameters of environment sound source information and device sound source information, can realize multi-dimensional analysis of the hearing-aid device performance, and realize technology for adjusting characteristic parameters of hearing-aid devices to improve the hearing-aid device performance.

The embodiment of the application also provides an intelligent monitoring method for the performance of hearing-aid equipment, which comprises the following steps:

Acquiring external acoustic information and acoustic information output by hearing-aid equipment, and preprocessing the external acoustic information and the acoustic information output by the hearing-aid equipment to acquire environmental sound source information and equipment sound source information;

establishing an intelligent hearing aid device performance detection model through the environment sound source information and the device sound source information;

Extracting a plurality of characteristic values of the environment sound source information and the equipment sound source information respectively, and carrying out reconstruction processing according to the plurality of characteristic values to obtain multi-indication heterogeneous parameters;

Inputting the multi-indication heterogeneous parameters into a preset hearing-aid device performance detection model for processing to obtain hearing-aid device effect indexes;

comparing the hearing aid device effect index with a preset hearing aid device standard efficacy threshold value, and obtaining a corresponding hearing aid device performance effect grade according to a threshold value comparison result;

and obtaining matched performance parameter adjustment information according to the performance effect level of the hearing-aid equipment, and carrying out parameter adjustment on the hearing-aid equipment according to the performance parameter adjustment information.

Optionally, in the method for intelligently monitoring performance of a hearing-aid device according to the embodiment of the present application, the acquiring external acoustic information and hearing-aid device output sound information, and preprocessing the external acoustic information and hearing-aid device output sound information to obtain environmental sound source information and device sound source information includes:

Collecting external acoustic information under different environments and outputting acoustic information by hearing aid equipment;

preprocessing the external acoustic information and the sound information output by the hearing aid device to obtain environment sound source information and device sound source information;

the ambient sound source information and the device sound source information include a frequency range, a maximum acoustic output or saturated sound pressure level, a maximum acoustic gain, a signal-to-noise ratio, harmonic distortion, and a response frequency of the hearing aid device.

Optionally, in the method for intelligently monitoring performance of a hearing aid device according to the embodiment of the present application, the building a hearing aid device performance intelligent detection model through the environmental sound source information and the device sound source information includes:

acquiring hearing aid device monitoring information, and carrying out correlation processing on the hearing aid device monitoring information, the environment sound source information and the device sound source information to obtain correlation information;

comparing the correlation information with a preset value to obtain a deviation rate;

Judging whether the deviation rate is larger than a preset deviation rate threshold value or not;

If the monitored information is larger than the monitored information, eliminating the monitored information corresponding to the hearing aid equipment;

If the monitored information is smaller than the monitored information, the monitored information corresponding to the hearing-aid equipment is reserved, and a database of a hearing-aid equipment performance detection model is input.

Optionally, in the method for intelligently monitoring performance of a hearing aid device according to the embodiment of the present application, the extracting a plurality of characteristic values of the environmental sound source information and the device sound source information respectively, and performing reconstruction processing according to the plurality of characteristic values to obtain multi-indication heterogeneous parameters includes:

Extracting a plurality of characteristic values of the environment sound source information and the equipment sound source information, wherein the characteristic values comprise tone characteristic values, definition characteristic values, resolution characteristic values and noise characteristic values;

Processing according to the tone characteristic value, the tone characteristic value and the definition characteristic value to obtain a first quality inspection coefficient of the sound source;

processing according to the resolution characteristic value and the noise characteristic value to obtain a second quality inspection coefficient of the sound source;

And carrying out reconstruction processing on the plurality of characteristic values to obtain multi-indication heterogeneous parameters.

Optionally, in the method for intelligently monitoring performance of hearing-aid devices according to the embodiment of the present application, the inputting the multi-indication heterogeneous parameters into a preset hearing-aid device performance detection model for processing to obtain a hearing-aid device effect index includes:

Inputting the multi-indication heterogeneous parameters into the hearing aid device performance detection model for processing by combining the first quality inspection coefficient of the sound source and the second quality inspection coefficient of the sound source to obtain a hearing aid device effect index;

the calculation formula of the hearing aid effect index is as follows:

；

wherein, For hearing aid effect index,/>、/>Respectively a first quality inspection coefficient of a sound source and a second quality inspection coefficient of the sound source,/>For multiple indicative heterogeneous parameters,/>、/>Is a preset coefficient.

Optionally, in the method for intelligently monitoring performance of hearing-aid devices according to the embodiment of the present application, the step of comparing the hearing-aid device effect index with a preset hearing-aid device standard efficacy threshold value and obtaining a corresponding hearing-aid device performance effect level according to a threshold comparison result includes:

Comparing the hearing aid device effect index with a preset hearing aid device standard efficacy threshold value to obtain a corresponding threshold value range;

and correlating the threshold range of the comparison result with the performance effect level of the hearing-aid equipment mapped to obtain the performance effect level of the hearing-aid equipment corresponding to the hearing-aid equipment.

Optionally, in the method for intelligently monitoring performance of a hearing-aid device according to the embodiment of the present application, the obtaining matched performance parameter adjustment information according to the performance effect level of the hearing-aid device, and performing parameter adjustment on the hearing-aid device according to the performance parameter adjustment information includes:

Processing and matching are carried out through a preset hearing aid device performance parameter adjustment model according to the hearing aid device performance effect level, and corresponding performance parameter adjustment information is obtained;

and adjusting parameter settings of the hearing aid equipment according to the performance parameter adjustment information.

In a second aspect, an embodiment of the present application provides an intelligent hearing aid device performance monitoring system, including: the intelligent hearing aid device performance monitoring system comprises a memory and a processor, wherein the memory comprises a program of the hearing aid device performance intelligent monitoring method, and the program based on the hearing aid device performance intelligent monitoring method realizes the following steps when being executed by the processor:

Optionally, in the intelligent monitoring system for performance of a hearing-aid device according to the embodiment of the present application, the acquiring external acoustic information and hearing-aid device output sound information, and preprocessing the external acoustic information and hearing-aid device output sound information to obtain environmental sound source information and device sound source information includes:

In a third aspect, an embodiment of the present application further provides a computer readable storage medium, where the computer readable storage medium includes a hearing device performance intelligent monitoring method program, where the hearing device performance intelligent monitoring method program, when executed by a processor, implements the steps of the hearing device performance intelligent monitoring method according to any one of the foregoing embodiments.

As can be seen from the above, according to the intelligent monitoring method, system and medium for the performance of the hearing-aid device provided by the embodiment of the application, the environment sound source information and the device sound source information are obtained by preprocessing the external acoustic information and the hearing-aid device output sound information; then, an intelligent hearing aid device performance detection model is built according to the method; respectively extracting a plurality of characteristic values of the environment sound source information and the equipment sound source information, and carrying out reconstruction processing to obtain a plurality of indication heterogeneous parameters; further obtaining the hearing aid effect index and the hearing aid performance effect grade; and obtaining matched performance parameter adjustment information according to the performance effect level of the hearing-aid equipment, and carrying out parameter adjustment on the hearing-aid equipment according to the performance parameter adjustment information. According to the application, by acquiring external acoustic information and the acoustic information output by the hearing aid device, intelligent monitoring and adjustment of the performance of the hearing aid device can be realized, the problems of poor effect and complicated adjustment in the use of the hearing aid device are solved, and better hearing experience is brought to hearing impaired patients.

The invention discloses a hearing-aid device performance intelligent monitoring method, a system and a medium, by acquiring environment sound source information and device sound source information,

Additional features and advantages of the application will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the embodiments of the application. The objectives and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and should not be considered as limiting the scope, and other related drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a flowchart of a method for intelligently monitoring performance of hearing-aid equipment according to an embodiment of the present application;

Fig. 2 is a flowchart of obtaining environmental sound source information and device sound source information in the hearing-aid device performance intelligent monitoring method according to the embodiment of the present application;

Fig. 3 is a flowchart of a method for establishing an intelligent hearing-aid device performance detection model according to an embodiment of the present application;

fig. 4 is a flowchart of a method for obtaining a performance effect level of hearing aid equipment according to the intelligent hearing aid equipment performance monitoring method provided by the embodiment of the application;

fig. 5 is a schematic structural diagram of an intelligent hearing-aid performance monitoring system according to an embodiment of the present application.

Detailed Description

In order that the above-recited objects, features and advantages of the present application will be more clearly understood, a more particular description of embodiments of the application will be rendered by reference to the appended drawings, which are illustrated in the appended drawings. The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the application, as presented in the figures, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present application.

It should be noted that like reference numerals and letters refer to like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.

Fig. 1 illustrates a flow chart of a hearing device performance intelligent monitoring method in some embodiments of the application. The intelligent monitoring method for the performance of the hearing-aid equipment is used in the hearing-aid equipment.

As shown in fig. 1, the intelligent monitoring method for the performance of hearing-aid equipment comprises the following steps:

S101, acquiring external acoustic information and hearing aid device output acoustic information, and preprocessing the external acoustic information and the hearing aid device output acoustic information to acquire environment sound source information and device sound source information;

s102, establishing an intelligent hearing aid device performance detection model through the environment sound source information and the device sound source information;

s103, respectively extracting a plurality of characteristic values of the environment sound source information and the equipment sound source information, and carrying out reconstruction processing according to the plurality of characteristic values to obtain multi-indication heterogeneous parameters;

S104, inputting the multi-indication heterogeneous parameters into a preset hearing-aid device performance detection model for processing to obtain hearing-aid device effect indexes;

S105, comparing the hearing aid device effect index with a preset hearing aid device standard efficacy threshold value, and obtaining a corresponding hearing aid device performance effect grade according to a threshold value comparison result;

and S106, obtaining matched performance parameter adjustment information according to the performance effect level of the hearing-aid equipment, and carrying out parameter adjustment on the hearing-aid equipment according to the performance parameter adjustment information.

It should be noted that, the external acoustic information is the surrounding of the hearing impaired patient, the sound that should be heard by normal hearing staff includes both effective sound and noise such as wind sound and natural noise, the hearing aid output acoustic information is the information that should be received by the hearing impaired patient that the hearing aid output end outputs, obtain external acoustic information and hearing aid output acoustic information, after preprocessing, to generate environmental acoustic source information and equipment acoustic source information, thereby establish hearing aid performance intelligent detection model based on environmental acoustic source information and equipment acoustic source information, the establishment of this model is through obtaining a large amount of environmental acoustic source information and equipment acoustic source information, and according to hearing impaired patient experience feedback, scientific experiment etc. obtain, the function that this hearing aid performance intelligent detection model can realize, firstly, compare and discover the difference of external acoustic information and equipment output acoustic information, and according to the heterogeneous parameter of many indications that obtain, compare with the threshold value of hearing aid standard efficacy of the hearing aid, and obtain corresponding hearing aid performance level according to threshold value, and then know whether to be fit for using hearing aid, if the hearing aid is fit for using hearing impaired patient, if the performance level is not fit for the hearing aid is adjusted according to the parameter, the performance level is adjusted to the parameter.

Referring to fig. 2, fig. 2 is a flowchart of an intelligent hearing aid device performance monitoring method for obtaining environmental sound source information and device sound source information according to some embodiments of the present application. According to an embodiment of the present application, the method for obtaining external acoustic information and acoustic information output by a hearing-aid device, and preprocessing the external acoustic information and the acoustic information output by the hearing-aid device to obtain environmental sound source information and device sound source information, includes:

S201, collecting external acoustic information under different environments and outputting sound information by hearing aid equipment;

S202, preprocessing the external acoustic information and the acoustic information output by the hearing aid device to obtain the environmental sound source information and the device sound source information;

s203, the environmental sound source information and the device sound source information include calculating a frequency range, a maximum sound output or saturated sound pressure level, a maximum sound gain, a signal-to-noise ratio, harmonic distortion, and a response frequency of the hearing aid device.

The reason for acquiring external acoustic information and hearing aid device output sound information under different environments is that the hearing aid device needs to be applied to various environments in life, so that acquired samples can be more comprehensive, the conditions of hearing impairment patients are different, when facing various environments, the conditions of each person are different, different requirements are met for device performance, a database more suitable for the hearing aid device can be built only by increasing acquired scenes and acquired data, after the external acoustic information and hearing aid device output sound information under different environments are acquired, the external acoustic information and hearing aid device output sound information are preprocessed to obtain the environmental sound source information and device sound source information, the environmental sound source information and the device sound source information comprise the frequency range, the maximum acoustic output or saturated sound pressure level, the maximum acoustic gain, the signal-to-noise ratio, the harmonic distortion and the response frequency of the hearing aid device, for example, the harmonic distortion is determined according to a harmonic calculation formula:

；

Where TDH (%) is harmonic distortion, V2, V3, V4...vn are n harmonic output voltages, respectively, and Vt is the total RMS output voltage (including fundamental and harmonic terms).

Referring to fig. 3, fig. 3 is a flowchart of a method for intelligently monitoring performance of a hearing device according to some embodiments of the present application. According to the embodiment of the application, the intelligent hearing-aid device performance detection model is built through the environment sound source information and the device sound source information, and the intelligent hearing-aid device performance detection model comprises the following steps:

s301, acquiring hearing aid device monitoring information, and carrying out correlation processing on the hearing aid device monitoring information, the environment sound source information and the device sound source information to obtain correlation information;

S302, comparing the correlation information with a preset value to obtain a deviation rate;

S303, judging whether the deviation rate is larger than a preset deviation rate threshold value;

s304, if the monitored information is larger than the monitored information, eliminating the monitored information corresponding to the hearing aid equipment;

and S305, if the monitored information is smaller than the monitored information, reserving the monitored information corresponding to the hearing-aid equipment, and inputting the monitored information into a database of a hearing-aid equipment performance detection model.

The method includes the steps of obtaining hearing aid device monitoring information, carrying out correlation processing on the hearing aid device monitoring information, the environment sound source information and the device sound source information to obtain correlation information, and carrying out calculation processing on the environment sound source information and the device sound source information to obtain frequency range, maximum sound output or saturated sound pressure level, maximum sound gain, signal-to-noise ratio, harmonic distortion and response frequency information of the hearing aid device. Comparing the correlation information with preset values to obtain deviation rates, wherein the preset values respectively correspond to the frequency range, the maximum sound output or saturation sound pressure level, the maximum sound gain, the signal-to-noise ratio, the harmonic distortion and the response frequency of hearing aid equipment, judging whether the deviation rate is larger than a preset deviation rate threshold value, and eliminating the corresponding hearing aid equipment monitoring information if the deviation rate is larger than the preset deviation rate threshold value; if the deviation rate is less than the theoretical value, the monitoring information of the corresponding hearing-aid equipment is reserved, the monitoring information is input into a database of a hearing-aid equipment performance detection model, the deviation rate is the degree of the actual value deviating from the theoretical value, and the deviation rate is calculated as follows: deviation rate= (actual value-theoretical value)/theoretical value x100%, in this embodiment, the deviation rate takes ±5%, if the deviation rate is greater than a preset deviation rate threshold value of ±5%, the deviation is larger, if the correlation is poor, the equipment performance should not be input into a database of a hearing aid equipment performance detection model, if the correlation is less than a preset deviation rate threshold value of ±5%, the correlation information is strong, the equipment performance is good, the monitoring information corresponding to the hearing aid equipment should be reserved, and the database of the hearing aid performance detection model should be input.

According to the embodiment of the invention, a plurality of characteristic values of the environment sound source information and the equipment sound source information are respectively extracted, and reconstruction processing is carried out according to the plurality of characteristic values, so as to obtain multi-indication heterogeneous parameters, which comprises the following steps:

It should be noted that, extracting a plurality of characteristic values of the environmental sound source information and the equipment sound source information, including a tone characteristic value, a definition characteristic value, a resolution characteristic value and a noise characteristic value, wherein the plurality of characteristic values comprehensively reflect the performance of the hearing aid equipment, respectively processing the plurality of characteristic values to obtain a first quality inspection coefficient of the sound source and a second quality inspection coefficient of the sound source, and then carrying out reconstruction calculation processing on the plurality of characteristic values according to a formula to obtain multi-indication heterogeneous parameters;

the calculation formulas of the first quality inspection coefficient of the sound source and the second quality inspection coefficient of the sound source are respectively as follows:

；

wherein, 、/>Respectively a first quality inspection coefficient of a sound source and a second quality inspection coefficient of the sound source,/>、/>、/>、/>、/>Respectively, tone characteristic value, definition characteristic value, resolution characteristic value, noise characteristic value,/>、/>、/>、/>、/>The characteristic coefficient is preset (the characteristic coefficient is obtained by inquiring a database of a hearing aid device performance detection model);

The calculation formula of the multi-indication heterogeneous parameters is as follows:

；

wherein, Representing multi-indicative heterogeneous parameters; /(I)Representing the i-th set of eigenvalues; /(I)Represents the/>Tone characteristic values in the group environment sound source information; /(I)Represents the/>Tone characteristic values in the group equipment sound source information; /(I)Represents the/>Pitch characteristic values in the group environment sound source information; /(I)The representation represents the first/>Tone characteristic values in the group device sound source information; /(I)Represents the/>A sharpness characteristic value in the group environment sound source information; /(I)Represents the/>Definition characteristic values in the group equipment sound source information; /(I)Represents the/>A resolution characteristic value in the group environment sound source information; /(I)Represents the/>A resolution characteristic value in the group device sound source information; /(I)Represent the firstNoise characteristic values in the group environment sound source information; /(I)Represents the/>Noise characteristic values in the group equipment sound source information; n represents the number of selected eigenvalues.

According to an embodiment of the present invention, the inputting the multi-indication heterogeneous parameters into a preset hearing-aid device performance detection model for processing to obtain a hearing-aid device effect index includes:

the calculation formula of the hearing aid effect index is as follows:

；

wherein, For hearing aid effect index,/>、/>Respectively a first quality inspection coefficient of a sound source and a second quality inspection coefficient of the sound source,/>For multiple indicative heterogeneous parameters,/>、/>The characteristic coefficients are preset coefficients (the characteristic coefficients are obtained by inquiring a database of hearing aid device performance detection models).

It should be noted that, to accurately evaluate the performance effect of the hearing-aid device, the obtained multi-indication heterogeneous parameters are combined with the first quality inspection coefficient of the sound source and the second quality inspection coefficient of the sound source to input a preset hearing-aid device performance detection model for correction calculation processing, so as to obtain a hearing-aid device effect index, and the hearing-aid device effect index reflects the performance effect of the hearing-aid device.

Referring to fig. 4, fig. 4 is a flowchart of a method for obtaining a performance effect level of a hearing aid device according to an intelligent hearing aid device performance monitoring method according to some embodiments of the present application. According to an embodiment of the present application, the threshold comparing the hearing aid effect index with a preset hearing aid standard efficacy threshold, and obtaining a corresponding hearing aid performance effect level according to a threshold comparison result includes:

s401, comparing the hearing aid device effect index with a preset hearing aid device standard effect threshold value to obtain a corresponding threshold value range;

And S402, associating the threshold range of the comparison result with the mapped hearing-aid device performance effect level to obtain the hearing-aid device performance effect level corresponding to the hearing-aid device.

It should be noted that, in order to evaluate the performance effect of the hearing-aid device, the performance effect is rated in a grading manner to identify the quality of the hearing-aid device, the hearing-aid device effect index is compared with a preset hearing-aid device standard efficacy threshold value according to the threshold value, a corresponding threshold value range is obtained according to the threshold value comparison result, and the obtained threshold value range is mapped and correlated with the performance effect level of the hearing-aid device to obtain the performance effect level of the hearing-aid device corresponding to the hearing-aid device;

In this scheme, the standard efficacy threshold range of the hearing aid device is divided into five ranges, which are respectively one-level to five-level, wherein the one-level threshold range is (0.9,1), the two-level threshold range is (0.75,0.9), the three-level threshold range is (0.6,0.75), the four-level threshold range is (0.4,0.6), the five-level threshold range is [0,0.4], if the threshold comparison result of the hearing aid device effect index of the hearing aid device a is 0.82, the corresponding level of the corresponding preset threshold range is two-level, and the hearing aid device performance effect level is two-level.

According to an embodiment of the present invention, the obtaining the matched performance parameter adjustment information according to the performance effect level of the hearing-aid device, and performing parameter adjustment on the hearing-aid device according to the performance parameter adjustment information, includes:

It should be noted that, according to the obtained performance effect level of the hearing-aid device, matching processing is performed through a preset hearing-aid device performance parameter adjustment model, the hearing-aid device performance parameter adjustment model includes a text mapping table of parameter adjustment information corresponding to the performance effect level of various hearing-aid devices, according to the model, corresponding hearing-aid device performance parameter adjustment information can be matched according to the performance effect level of the hearing-aid device, the performance parameter adjustment information includes a parameter adjustment operation method for the hearing-aid device, after the corresponding performance parameter adjustment information is obtained, parameter adjustment is performed on the hearing-aid device according to a parameter adjustment scheme, so that monitoring and adjustment functions of hearing-aid and devices are achieved, and intelligent monitoring and adjustment of the hearing-aid device are achieved.

Referring to fig. 5, fig. 5 is a schematic structural diagram of an intelligent hearing aid performance monitoring system according to some embodiments of the present application. In a second aspect, an embodiment of the present application provides an intelligent hearing aid performance monitoring system 5, which includes: the memory 51 and the processor 52, the memory 51 includes a program of the intelligent monitoring method for the performance of the hearing aid device, and when the program of the intelligent monitoring method for the performance of the hearing aid device is executed by the processor, the following steps are implemented:

According to an embodiment of the present invention, the method for obtaining external acoustic information and acoustic information output by a hearing-aid device, and preprocessing the external acoustic information and the acoustic information output by the hearing-aid device to obtain environmental sound source information and device sound source information, includes:

The ambient sound source information and the device sound source information include calculating a frequency range, a maximum acoustic output or saturated sound pressure level, a maximum acoustic gain, a signal-to-noise ratio, harmonic distortion, and a response frequency of the hearing aid device.

；

According to the embodiment of the invention, the intelligent hearing-aid device performance detection model is built through the environment sound source information and the device sound source information, and the intelligent hearing-aid device performance detection model comprises the following steps:

；

wherein, Representing multi-indicative heterogeneous parameters; /(I)Representing the i-th set of eigenvalues; /(I)Represents the/>Tone characteristic values in the group environment sound source information; /(I)Represents the/>Tone characteristic values in the group equipment sound source information; /(I)Represents the/>Pitch characteristic values in the group environment sound source information; /(I)The representation represents the first/>Tone characteristic values in the group device sound source information; /(I)Represents the/>A sharpness characteristic value in the group environment sound source information; /(I)Represents the/>Definition characteristic values in the group equipment sound source information; /(I)Represents the/>A resolution characteristic value in the group environment sound source information; /(I)Represents the/>A resolution characteristic value in the group device sound source information; /(I)Represents the/>Noise characteristic values in the group environment sound source information; /(I)Represents the/>Noise characteristic values in the group equipment sound source information; n represents the number of selected eigenvalues.

the calculation formula of the hearing aid effect index is as follows:

；

According to an embodiment of the present invention, the threshold comparing the hearing aid effect index with a preset hearing aid standard efficacy threshold, and obtaining a corresponding hearing aid performance effect level according to a threshold comparison result includes:

A third aspect of the present invention provides a computer readable storage medium, the readable storage medium including a hearing device performance intelligent monitoring method program, which when executed by a processor, implements the steps of the hearing device performance intelligent monitoring method as described in any one of the above.

According to the intelligent monitoring method, system and medium for the performance of the hearing-aid equipment, the environment sound source information and the equipment sound source information are obtained by preprocessing the external acoustic information and the hearing-aid equipment output sound information; then, an intelligent hearing aid device performance detection model is built according to the method; respectively extracting a plurality of characteristic values of the environment sound source information and the equipment sound source information, and carrying out reconstruction processing to obtain a plurality of indication heterogeneous parameters; further obtaining the hearing aid effect index and the hearing aid performance effect grade; and obtaining matched performance parameter adjustment information according to the performance effect level of the hearing-aid equipment, and carrying out parameter adjustment on the hearing-aid equipment according to the performance parameter adjustment information. According to the invention, by acquiring external acoustic information and the acoustic information output by the hearing aid device, intelligent monitoring and adjustment of the performance of the hearing aid device can be realized, the problems of poor effect and complicated adjustment in the use of the hearing aid device are solved, and better hearing experience is brought to hearing impaired patients.

In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of units is only one logical function division, and there may be other divisions in actual implementation, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.

The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.

Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or optical disk, or the like, which can store program codes.

Or the above-described integrated units of the invention may be stored in a readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solution of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.

Claims

1. An intelligent monitoring method for the performance of hearing-aid equipment is characterized by comprising the following steps:

obtaining matched performance parameter adjustment information according to the performance effect level of the hearing-aid equipment, and carrying out parameter adjustment on the hearing-aid equipment according to the performance parameter adjustment information;

The intelligent hearing aid device performance detection model is established through the environment sound source information and the device sound source information, and the intelligent hearing aid device performance detection model comprises the following steps:

if the monitoring information is smaller than the preset threshold value, reserving monitoring information corresponding to the hearing-aid equipment, and inputting the monitoring information into a database of a hearing-aid equipment performance detection model;

the method for extracting the multiple characteristic values of the environment sound source information and the equipment sound source information respectively, and carrying out reconstruction processing according to the multiple characteristic values to obtain multiple-indication heterogeneous parameters comprises the following steps:

reconstructing the plurality of characteristic values to obtain multi-indication heterogeneous parameters;

inputting the multi-indication heterogeneous parameters into a preset hearing-aid device performance detection model for processing to obtain hearing-aid device effect indexes, wherein the method comprises the following steps:

the calculation formula of the hearing aid effect index is as follows:

；

wherein, For hearing aid effect index,/>、/>Respectively a first quality inspection coefficient of a sound source and a second quality inspection coefficient of the sound source,For multiple indicative heterogeneous parameters,/>、/>Is a preset coefficient.

2. The intelligent monitoring method for the performance of a hearing aid device according to claim 1, wherein the steps of obtaining external acoustic information and hearing aid device output sound information, and preprocessing the external acoustic information and hearing aid device output sound information to obtain environmental sound source information and device sound source information, include:

3. The intelligent hearing device performance monitoring method according to claim 2, wherein the threshold comparing the hearing device performance index with a preset hearing device standard efficacy threshold, and obtaining the corresponding hearing device performance effect level according to the threshold comparison result, includes:

4. The intelligent monitoring method for performance of a hearing device according to claim 3, wherein the obtaining the matched performance parameter adjustment information according to the performance effect level of the hearing device, and performing parameter adjustment on the hearing device according to the performance parameter adjustment information, comprises:

5. An intelligent monitoring system for performance of a hearing aid device, the system comprising: the intelligent hearing aid performance monitoring system comprises a memory and a processor, wherein the memory comprises a program of the intelligent hearing aid performance monitoring method, and the program based on the intelligent hearing aid performance monitoring method realizes the following steps when being executed by the processor:

the calculation formula of the hearing aid effect index is as follows:

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6. The intelligent hearing device performance monitoring system according to claim 5, wherein the acquiring external acoustic information and hearing device output sound information, and preprocessing the external acoustic information and hearing device output sound information to obtain the environmental sound source information and device sound source information, comprises:

7. A computer-readable storage medium, characterized in that the computer-readable storage medium includes therein a hearing device performance intelligent monitoring method program, which when executed by a processor, implements the steps of the hearing device performance intelligent monitoring method according to any one of claims 1 to 4.