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  4. Artifact reduction in magnetoneurography based on time-delayed second order correlations
 
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1998
Study
Title

Artifact reduction in magnetoneurography based on time-delayed second order correlations

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 neuromagnetic source analysis.
Author(s)
Ziehe, A.
Müller, K.-R.
Nolte, G.
Mackert, B.-M.
Cuiro, G.
Publisher
GMD Forschungszentrum Informationstechnik  
Publishing Place
Sankt Augustin
File(s)
Download (3.98 MB)
Rights
Use according to copyright law
DOI
10.24406/publica-fhg-289821
Language
English
FIRST
Keyword(s)
  • biomedical data processing

  • biomagnetism

  • blind source separation

  • independent component analysis

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