ABR (auditory brainstem response) automatic test method based on self-adaptive average method

Abstract

The invention relates to an ABR (auditory brainstem response) automatic test method based on a self-adaptive average method. ABR single-time records collected in batches from high values to low valuesat each test sound intensity are subjected to calculation based on the self-adaptive average method; iteration is performed for increasing the average times of the records step by step; the signal-to-noise ratio is increased until the ABR signal detection conditions are met, i.e., through the ABR single-time records collected in batches and in groups, two groups of average curves are obtained; the located time-lag of the maximum value of a cross-correlation function is calculated; whether ABR signals with the time lock characteristics exist or not is judged according to whether the time-lag deviation is within a specified range or not. A hearing threshold value is obtained through the lowest sound intensity required by detection signals, or the accurate sound intensity corresponding to the hearing threshold value is obtained through a function fitting and interpolation method on the iteration times used at each test sound intensity. According to the method provided by the invention, the detection threshold value efficiency is high; the accuracy rate is close to that of manual judgment; higher objective performance is realized; the repeatability is better; the repeated collection times of the ABR records can be effectively reduced.

Description

technical field [0001] The present invention relates to data processing technology, particularly a kind of auditory brainstem response automatic test method based on self-adaptive average method. Background technique [0002] Auditory Brainstem Response (ABR) is an EEG change induced by sound stimulation, and its characteristic waveform occurs within 10 milliseconds after the stimulation, which can be recorded by electrodes placed on the head of a human or animal. The non-invasive feature makes ABR widely used clinically as a means of hearing detection, especially for infants, mentally handicapped people, and intraoperative patients who cannot complete hearing evaluation through verbal communication or body movements. Clinically, the hearing threshold (referring to the minimum sound intensity used to induce the subject's ABR characteristic waveform) has become one of the important indicators for evaluating hearing function. [0003] However, because the signal-to-noise rati...

AI Technical Summary

Problems solved by technology

This method of subjectively judging the threshold leads to the accuracy of the results depending on personal experience and skills, and increases the dependence on professional manpower, which cannot meet the increasing clinical needs, and has caused great harm to the nationwide hearing screening of infants and young children. great difficulty

This also makes it difficult to realize the automated analysis of ABR test data. In the past 30 to 40 years, people have made a series of efforts in the automation of ABR listening tests and proposed various schemes, but there is no mature and reliable one. Commercialized products come out

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