A study on feature selection using multi-domain feature extraction for automated k-complex detection

A study on feature selection using multi-domain feature extraction for automated k-complex detection

BackgroundK-complex detection plays a significant role in the field of sleep research. However, manual annotation for electroencephalography (EEG) recordings by visual inspection from experts is time-consuming and subjective. Therefore, there is a necessity to implement automatic detection methods b...

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Bibliographic Details
Main Authors:	Yabing Li, Xinglong Dong, Kun Song, Xiangyun Bai, Hongye Li, Fakhreddine Karray
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-09-01
Series:	Frontiers in Neuroscience
Subjects:	k-complex electroencephalography (EEG) multi-domain features feature selection detection
Online Access:	https://www.frontiersin.org/articles/10.3389/fnins.2023.1224784/full

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