CN-122004848-A - Intelligent self-service pure tone threshold test method, equipment and medium

CN122004848ACN 122004848 ACN122004848 ACN 122004848ACN-122004848-A

Abstract

The invention discloses an intelligent self-service pure tone threshold test method, equipment and medium, which relate to the technical field of threshold test and comprise the steps of executing a pure tone threshold test process based on an information gain selection mechanism according to the recognition difficulty level in noise, a matching degree score and a pure tone threshold starting strategy, carrying out real-time judgment on key behaviors of a testee by combining a personal operation rhythm template, outputting a threshold estimation result of each frequency band and corresponding uncertainty index and behavior event marks, carrying out fixed point deviation correction and weight correction based on the threshold estimation result of each frequency band, the uncertainty index and the behavior event marks, and obtaining a final threshold result and an overall reliability level.

Inventors

Gu dai
YU GUOQIANG

Assignees

苏州海卡缔听力技术有限公司

Dates

Publication Date: 20260512
Application Date: 20260304

Claims (10)

1. An intelligent self-help pure tone threshold test method is characterized by comprising the following steps of, Acquiring a personal operation rhythm template and an environmental noise image of a testee, and executing bigeminal audiometry to acquire an identification difficulty level, a matching degree score and a pure tone threshold measurement starting strategy in noise; Executing a pure tone threshold measurement process based on an information gain selection mechanism according to the recognition difficulty level, the coordination degree score and the pure tone threshold measurement starting strategy in noise, carrying out real-time judgment on the key behaviors of a tested person by combining with a personal operation rhythm template, and outputting a threshold estimation result of each frequency band, a corresponding uncertainty index and a behavior event mark; Performing fixed point correction and compensation measurement and weight correction based on the hearing threshold estimation result, the uncertainty index and the behavior event mark of each frequency band to obtain a final hearing threshold result and an overall credibility level; And judging a hearing screening result according to the final hearing threshold result and the overall reliability level and combining the recognition difficulty level in noise, and generating an automatic screening report and a referral suggestion.
2. The intelligent self-help pure tone threshold test method of claim 1, wherein the personal operation rhythm template is constructed by executing a visual key calibration task, recording key response time sequences, advanced key times, delayed key times and continuous key intervals after multiple visual stimulus triggers and based on the key response time sequences, the advanced key times and the delayed response times, and comprises key response time distribution ranges, advanced key times statistics and delayed key times statistics.
3. The intelligent self-service pure tone threshold test method of claim 1, wherein the environmental noise figure is formed by starting an environmental sound collection flow while constructing a personal operation rhythm template, acquiring an environmental sound signal in a preset time window, and extracting an environmental sound pressure level, a frequency spectrum distribution characteristic and a fluctuation amplitude sequence.
4. The intelligent self-help pure tone threshold test method of claim 1, wherein the obtaining of the recognition difficulty level, the matching degree score and the pure tone threshold starting strategy in noise is specifically as follows: Constructing a test sequence, sequentially playing the bigeminal digital voices according to a preset play intensity adjustment rule, and recording the corresponding input result and response time sequence of the testee played each time; counting and identifying correct times and error times according to the input result of the testee, and generating an identification difficulty level in noise by combining with a play intensity adjustment process; Performing matching analysis based on the response time sequence and the key response time distribution range in the personal operation rhythm template, and counting effective response times, overtime response times and false input times to generate a matching degree score; and determining a pure tone threshold measurement initial sound intensity level, an initial test frequency band and a test stepping strategy according to the recognition difficulty level and the matching degree score mapping in noise to form the pure tone threshold measurement initial strategy.
5. The intelligent self-help pure tone threshold test method of claim 1, wherein the pure tone threshold test process based on the information gain selection mechanism comprises the following steps: Taking an initial test frequency band in a pure tone threshold initial strategy as a test frequency band in a candidate test set, upwards and downwards expanding the initial test frequency band with the pure tone threshold initial sound intensity level as a center according to a test stepping strategy to form a plurality of sound intensity levels, combining the test frequency band with a corresponding sound intensity level to form a candidate test set, screening and sorting the test frequency bands in the candidate test set by combining the recognition difficulty level in noise, the matching degree score and the environmental noise portrait, and initializing uncertainty indexes of each test frequency band, wherein the candidate test set comprises the plurality of test frequency bands and the corresponding sound intensity level; Before each round of pure tone stimulation, calculating the reduction degree of the overall uncertainty index of each test frequency band and the sound intensity level according to the current frequency band hearing threshold estimation result and the uncertainty index, and selecting the test frequency band and the sound intensity level with the largest uncertainty reduction degree as the next pure tone stimulation; Playing the selected pure tone stimulus, recording the key response result of the testee, and carrying out validity judgment on the key response by combining with the personal operation rhythm template to generate a corresponding behavior event mark; And updating the hearing threshold estimation result and the uncertainty index of the corresponding test frequency band according to the key response result and the behavior event mark, synchronously updating the candidate test set until the uncertainty index of all the test frequency bands meets the preset convergence condition, and outputting the hearing threshold estimation result of each frequency band, the corresponding uncertainty index and the behavior event mark.
6. The intelligent self-help pure tone threshold test method of claim 1, wherein the final threshold result and the overall reliability level are obtained by the following steps: carrying out consistency check on uncertainty indexes corresponding to the hearing threshold estimation results of all the frequency bands and behavior event marks, and screening target test frequency bands needing to execute fixed-point deviation correction and complement measurement based on the consistency check results, preset convergence conditions and behavior event mark triggering conditions; reestablishing a candidate test set aiming at a target test frequency band, executing pure tone stimulation playing, recording a key response result and a corresponding behavior event mark in a complement test stage, and updating a hearing threshold estimation result and an uncertainty index of the target test frequency band; performing weight correction processing on the updated hearing threshold estimation results of each frequency band, distributing frequency band weights according to uncertainty indexes and behavior event marks corresponding to each frequency band, and calculating a final hearing threshold result; And comprehensively evaluating the hearing threshold estimation result, the corresponding uncertainty index and the behavior event mark of each frequency band to generate the overall reliability level.
7. The intelligent self-help pure tone threshold test method of claim 1, wherein the automatic screening report and referral advice is generated specifically as follows: Extracting a final hearing threshold result, an overall credibility level and an identification difficulty level in noise, and constructing a screening result data set; performing grade judgment on the final hearing threshold result and a preset hearing grading standard, and generating a result validity mark by combining the overall credibility grade; matching the hearing grading result, the overall credibility level and the recognition difficulty level in noise corresponding to the final hearing threshold result with a preset screening rule table to generate a referral advice level; and uniformly packaging the final hearing threshold result, the overall credibility level, the recognition difficulty level in noise, the hearing grading result and the referral advice level to generate an automatic screening report and a referral advice.
8. The intelligent self-service pure tone threshold test method of claim 6, wherein the consistency check is to correlate and compare a change trend between the threshold estimation results of each frequency band, and corresponding uncertainty indexes and behavior event marks.
9. The computer equipment comprises a memory and a processor, wherein the memory stores a computer program, and the computer program is characterized in that the processor realizes the steps of the intelligent self-service pure tone threshold test method according to any one of claims 1-8 when executing the computer program.
10. A computer readable storage medium having a computer program stored thereon, wherein the computer program when executed by a processor implements the steps of the intelligent self-service pure tone threshold test method of any of claims 1-8.

Description

Intelligent self-service pure tone threshold test method, equipment and medium Technical Field The invention relates to the technical field of hearing threshold testing, in particular to an intelligent self-help pure-tone hearing threshold testing method, intelligent self-help pure-tone hearing threshold testing equipment and medium. Background The pure tone threshold test is a basic detection means in audiology evaluation and is widely applied to scenes such as hearing screening, hearing loss grading and the like. The traditional pure tone threshold measurement mostly adopts a manually controlled lifting method or a fixed ladder method, the sound intensity level is adjusted by professionals frequency by frequency in a relatively quiet environment, and the hearing threshold of each frequency band is determined according to subjective response of a testee. With the increase of the requirements of base layer screening and self-service detection, the self-service pure tone threshold test based on a computer terminal or mobile equipment is gradually popularized, and the automatic test is realized through a preset process, so that the labor cost is reduced, and the detection coverage rate is improved. Part of schemes introduce an automatic ladder method or a simple self-adaptive sound intensity adjustment strategy to improve the test efficiency. However, the existing self-service pure tone threshold test method mostly adopts a fixed ladder method or a simple self-adaptive rule to select a test path, lacks a dynamic decision mechanism based on information quantity change, is easy to generate repeated stimulation or invalid test to influence test efficiency and result stability, and meanwhile, most schemes do not model the operation rhythm of a testee, do not output uncertainty indexes in the threshold estimation process, are difficult to distinguish false triggering behaviors from real auditory responses, and cannot quantitatively evaluate the credibility of test results. Disclosure of Invention The present invention has been made in view of the above-described problems occurring in the prior art. Therefore, the invention provides an intelligent self-help pure tone threshold test method which solves the problem of lack of a dynamic decision mechanism based on information quantity change. In order to solve the technical problems, the invention provides the following technical scheme: in a first aspect, the invention provides a method for intelligent self-service pure tone threshold testing, comprising, Acquiring a personal operation rhythm template and an environmental noise image of a testee, and executing bigeminal audiometry to acquire an identification difficulty level, a matching degree score and a pure tone threshold measurement starting strategy in noise; Executing a pure tone threshold measurement process based on an information gain selection mechanism according to the recognition difficulty level, the coordination degree score and the pure tone threshold measurement starting strategy in noise, carrying out real-time judgment on the key behaviors of a tested person by combining with a personal operation rhythm template, and outputting a threshold estimation result of each frequency band, a corresponding uncertainty index and a behavior event mark; Performing fixed point correction and compensation measurement and weight correction based on the hearing threshold estimation result, the uncertainty index and the behavior event mark of each frequency band to obtain a final hearing threshold result and an overall credibility level; And judging a hearing screening result according to the final hearing threshold result and the overall reliability level and combining the recognition difficulty level in noise, and generating an automatic screening report and a referral suggestion. The intelligent self-service pure tone threshold test method is characterized in that the personal operation rhythm template is constructed by executing a visual key calibration task, recording key response time sequences, advanced key times, delayed key times and continuous key intervals after multiple visual stimulus triggers and based on the key response time sequences, the advanced key times and the delayed response times, and comprises key response time distribution ranges, advanced key times statistical results and delayed key times statistical results. The intelligent self-service pure tone threshold test method is characterized in that the environmental noise figure is formed by starting an environmental sound collection flow while constructing a personal operation rhythm template, acquiring an environmental sound signal in a preset time window and extracting environmental sound pressure level, spectrum distribution characteristics and fluctuation amplitude sequences. As a preferable scheme of the intelligent self-service pure tone threshold test method, the invention comprises the steps of obtaining the recognition difficulty le