The Influence Assessment of Artifact Subspace Reconstruction on the EEG Signal Characteristics

EEG signals may be affected by physiological and non-physiological artifacts hindering the analysis of brain activity. Blind source separation methods such as independent component analysis (ICA) are effective ways of improving signal quality by removing components representing non-brain activity. H...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Małgorzata Plechawska-Wójcik, Paweł Augustynowicz, Monika Kaczorowska, Emilia Zabielska-Mendyk, Dariusz Zapała
Format:	Article
Language:	English
Published:	MDPI AG 2023-01-01
Subjects:	artifact subspace reconstruction EEG signal analysis independent component analysis automatic EEG data correction
Online Access:	https://www.mdpi.com/2076-3417/13/3/1605