Extraction of event-related signals from multichannel bioelectrical measurements.
Independent component analysis (ICA) is a powerful tool for separating signals from their mixtures. In this field, many algorithms were proposed, but they poorly use a priori information in order to find the desired signal. Here, we propose a fixed point algorithm which uses a priori information to find the signal of interest out of a number of sensors. We particularly applied the algorithm to cancel cardiac artifacts from a magnetoencephalogram.
Barros
A K
AK
RIKEN BMC, Aichi, Japan. akbarros@ieee.org
Vigário
R
R
Jousmäki
V
V
Ohnishi
N
N
D000465:Algorithms; D016477:Artifacts; D004562:Electrocardiography; D006801:Humans; D015225:Magnetoencephalography; D008955:Models, Cardiovascular; D012815:Signal Processing, Computer-Assisted