An automatic test device for auditory brainstem response

Abstract

The present invention relates to a kind of auditory brainstem response (ABR) automatic test device, for the ABR records collected separately under multiple sound intensities, based on the calculation of the adaptive average method, the average number of records is increased by iteration, and the signal-to-noise ratio is improved until Meet the conditions for ABR signal detection: obtain the average curve based on the ABR records collected in batches by group, calculate the time lag at which the maximum value of the cross-correlation function between groups is located, and judge whether there is a time-locking characteristic according to whether the deviation of the time lag is within the specified range ABR signal. When the ABR signal is detected or the maximum number of iterations is reached and no ABR signal is detected, the iteration is terminated. The minimum sound intensity required to detect the signal is used as the hearing threshold; or, the function fitting is performed on the number of iterations used under each sound intensity, and the accurate sound intensity corresponding to the hearing threshold is obtained by interpolation. The present invention has high detection threshold efficiency, accuracy close to manual judgment, more objective and better repeatability, and can effectively reduce the number of repeated acquisitions of ABR records.

Description

technical field [0001] The invention relates to data processing technology, in particular to an automatic test device for auditory brainstem response. 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 ratio of ABR records varies greatly and the wavef...

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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