Application of decorrelation-independent component analysis to biomagnetic multi-channel measurements.
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.
Sander
Tilmann H
TH
Physikalisch-Technische Bundesanstalt, Berlin, Germany. tilmann.sander-thoemmes@ptb.de
Burghoff
Martin
M
Van Leeuwen
Peter
P
Trahms
Lutz
L
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