HIGHLIGHTS
- who: Stefan Weder from the Institute of Electronics, Information (CNR), ItalyDepartment of ENT, Head and Neck Surgery, Inselspital, Bern University Hospital, University of have published the research work: Objectification of intracochlear electrocochleography using machine learning, in the Journal: (JOURNAL)
- what: The aim of this study was to automate and objectify the analysis of cochlear microphonic (CM) signals in ECochG recordings. The authors included the following objective detection methods: i) Hotelling's T2 test, ii) correlation analysis, and iii) a DL convolutional neural_network (CNN). The predictions of the model were then compared to the labels. Methods . . .
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