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Real-time threshold determination of auditory brainstem responses by cross-correlation analysis

ABSTRACT: Summary Auditory 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 abstract Highlights • 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 outcome Sensory neuroscience; Techniques in neuroscience; Algorithms

SUBMITTER: Wang H

PROVIDER: S-EPMC8571499 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Effect of anesthesia on evoked auditory responses in pediatric auditory brainstem implant surgery.

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