文章基本信息

标题：Real-time threshold determination of auditory brainstem responses by cross-correlation analysis
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作者：Haoyu Wang ; Bei Li ; Yan Lu 等
期刊名称：iScience
印刷版ISSN：2589-0042
出版年度：2021
卷号：24
期号：11
页码：1-14
DOI：10.1016/j.isci.2021.103285
语种：English
出版社：Elsevier
摘要：SummaryAuditory brainstem response (ABR) serves as an objective indication of auditory perception at a given sound level and is nowadays widely used in hearing function assessment. Despite efforts for automation over decades, ABR threshold determination by machine algorithms remains unreliable and thereby one still relies 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 sweep recordings. These features empower a robust and fully automated ABR test.Graphical abstractDisplay OmittedHighlights•Automatic threshold determination of auditory brainstem response (ABR)•Detection of “clear” responses from iteratively averaged level representation•Wide application in both animal and human ABR tests•Stop on-going level averaging based on detection outcomeSensory neuroscience; Techniques in neuroscience; Algorithms