Automated Detection and Removal of Cardiac and Pulse Interferences from Neonatal EEG Signals

Electrical cardiac and pulsatile interference is very difficult to remove from electroencephalographic (EEG) signals, especially if recorded in neonates, for which a small number of EEG channels is used. Several methods were proposed, including Blind Source Separation (BSS) methods that required the...

Full description

Bibliographic Details

Published in:	Sensors
Main Authors:	Gabriella Tamburro, Pierpaolo Croce, Filippo Zappasodi, Silvia Comani
Format:	Article
Language:	English
Published:	MDPI AG 2021-09-01
Subjects:	neonatal electroencephalography (EEG) automated artefact removal independent component analysis (ICA) blind source separation methods (BSS) cardiac interference pulse interference
Online Access:	https://www.mdpi.com/1424-8220/21/19/6364