On the Use of Machine Learning for Classifying Auditory Brainstem Responses: A Scoping Review

Recent advances in machine learning have led to a surge of interest in classification of the auditory brainstem response. In this work, we conducted a search in the PubMed, Google Scholar, SpringerLink, ScienceDirect, and Scopus databases, and identified twelve studies that explored the use of machi...

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Veröffentlicht in:	IEEE access 2021, Vol.9, p.110592-110600
Hauptverfasser:	Osman, Rida Al, Osman, Hussein Al
Format:	Artikel
Sprache:	eng
Schlagworte:	Auditory brainstem response Auditory system Brainstem Classification decoding feature extraction Hearing aids Hidden Markov models Machine learning Markers Search engines Support vector machines Transient analysis Tuning Waveforms
Online-Zugang:	Volltext
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