title: Extraction of event-related signals from multichannel bioelectrical measurements.
abstract: 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.
authors.affiliation: RIKEN BMC, Aichi, Japan. akbarros@ieee.org
authors.forename: A K
authors.initials: AK
authors.lastname: Barros
authors.forename: R
authors.initials: R
authors.lastname: Vigário
authors.forename: V
authors.initials: V
authors.lastname: Jousmäki
authors.forename: N
authors.initials: N
authors.lastname: Ohnishi
mesh_terms: D000465:Algorithms; D016477:Artifacts; D004562:Electrocardiography; D006801:Humans; D015225:Magnetoencephalography; D008955:Models, Cardiovascular; D012815:Signal Processing, Computer-Assisted