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...

Popoln opis

Bibliografske podrobnosti

Principais autores:	Małgorzata Plechawska-Wójcik, Paweł Augustynowicz, Monika Kaczorowska, Emilia Zabielska-Mendyk, Dariusz Zapała
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2023-01-01
Serija:	Applied Sciences
Teme:	artifact subspace reconstruction EEG signal analysis independent component analysis automatic EEG data correction
Online dostop:	https://www.mdpi.com/2076-3417/13/3/1605
Oznake:	Označite Brez oznak, prvi označite!