Author:
Wang Haoyu,Li Bei,Lu Yan,Han Kun,Sheng Haibin,Zhou Jialei,Qi Yumeng,Wang Xueling,Huang Zhiwu,Song Lei,Hua Yunfeng
Abstract
SummaryAuditory brainstem response (ABR) serves as an objective indication of auditory perception at given sound level and is nowadays widely used in hearing function assessment. Despite efforts for automation over decades, hearing threshold determination by machine algorithm remains unreliable and thereby still rely on visual identification by trained personnel. Here, we described a procedure for automatic threshold determination that can be used in both animal and human ABR tests. The method terminates level averaging of ABR recordings upon detection of time-locked waveform through cross-correlation analysis. The threshold level was then indicated by a dramatic increase in the sweep numbers required to produce “qualified” level averaging. A good match was obtained between the algorithm outcome and the human readouts. Moreover, the method varies the level averaging based on the cross-correlation, thereby adapting to the signal-to-noise ratio of single sweep recordings. These features empower a robust and fully automated ABR test.
Publisher
Cold Spring Harbor Laboratory
Cited by
1 articles.
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