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Independent Component Analysis of Non-invasively Recorded Cortical Magnetic DC-fields in Humans

Andreas Ziehe, Guido Nolte, Bruno-Marcel Mackert, Gabriel Curio, Gmd Forschungszentrum, Informationstechnik Gmbh, Schlo Birlinghoven

Journal Article: 01/1999;

Abstract

Artifacts in magnetoneurography (MNG) data due to endogenous biological noise sources, e.g. heart signal, can be four orders of magnitude higher than the signal of interest. Therefore it is important to establish effective artifact reduction methods. We propose a blind source separation algorithm using only second order temporal correlations for cleaning bio-magnetic measurements of evoked responses in the peripheral nervous system. The algorithm showed its efficiency by eliminating disturbances originating from biological and technical noise sources and successfully extracting the signal of interest. This yields a significant improvement of the neuro-magnetic source analysis. Keywords Biomedical data processing, Artifact reduction, Biomagnetism, Magnetoneurography, Blind source separation, Independent component analysis. Acknowledgment We acknowledge valuable discussions with members of the Biophysics Group at PhysikalischTechnische Bundesanstalt (PTB) Berlin. All MNG studies were p...

Source: CiteSeer

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Keywords

Artifact reduction
 
Artifacts
 
Blind source separation
 
blind source separation algorithm
 
cleaning bio-magnetic measurements
 
disturbances originating
 
effective artifact reduction methods
 
endogenous biological noise sources
 
heart signal
 
Keywords Biomedical data processing
 
magnitude higher
 
neuro-magnetic source analysis
 
peripheral nervous system
 
PhysikalischTechnische Bundesanstalt
 
second order temporal correlations
 
technical noise sources
 
valuable discussions
 
yields