title: Application of decorrelation-independent component analysis to biomagnetic multi-channel measurements.
abstract: Biomagnetic multi-channel recordings are typically a superposition of signals from several biological sources of interest and from biological and technical noise sources. Besides averaging, source localization, and spectral analysis to name only a few methods, independent component analysis is an established tool to resolve the superposition present in raw biomagnetic data on a purely statistical basis. Here the time-delayed decorrelation-independent component analysis algorithm is applied to exemplary magnetocardiographic and magnetoencephalographic data and the successful signal separation is demonstrated.
authors.affiliation: Physikalisch-Technische Bundesanstalt, Berlin, Germany. tilmann.sander-thoemmes@ptb.de
authors.forename: Tilmann H
authors.initials: TH
authors.lastname: Sander
authors.forename: Martin
authors.initials: M
authors.lastname: Burghoff
authors.forename: Peter
authors.initials: P
authors.lastname: Van Leeuwen
authors.forename: Lutz
authors.initials: L
authors.lastname: Trahms
mesh_terms: D000465:Algorithms; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006801:Humans; D008280:Magnetics; D053798:Magnetocardiography / Q000379:methods*; D015225:Magnetoencephalography / Q000379:methods*; D025341:Principal Component Analysis; D012044:Regression Analysis; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013223:Statistics as Topic