Automatic Data Processing Method Based on Adaptive Averaging Method in Auditory Brainstem Response Test

Abstract

An auditory brainstem response automatic test method based on an adaptive averaging method. With regard to auditory brainstem response single records collected in batches under various test sound intensities from high to low, on the basis of calculation performed using an adaptive averaging method, the average number of records is increased gradually by means of iteration, and a signal-to-noise ratio is increased until an auditory brainstem response signal detection condition is met, the condition involving obtaining two groups of average curves by means of auditory brainstem response single records collected in groups and in batches, calculating a time lag where the maximum value of a cross-correlation function of the two groups of average curves is located, and determining, according to whether the deviation of the time lag is within a specified range, whether there is an auditory brainstem response signal with a time locking characteristic. A hearing threshold value is obtained by means of the minimum sound intensity required for detecting a signal; or an accurate sound intensity corresponding to the hearing threshold value is obtained by performing function fitting on the number of iterations used in each test sound intensity and by means of an interpolation method. The method has a high efficiency in detecting a threshold value, has an accuracy close to that of manual determination, is more objective, has a better repeatability, and can effectively reduce the number of times that an auditory brainstem response record is repeatedly collected.

Description

technical field [0001] The invention relates to a data processing technology, in particular to an automatic data processing method based on an adaptive averaging method in an auditory brainstem response test. 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-...

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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