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

Andreas Ziehe; Klaus Muller; Guido Nolte; Bruno Marcel Mackert; Gabriel Curio

doi:10.1109/10.817622

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

Andreas Ziehe, Klaus Muller, Guido Nolte, Bruno Marcel Mackert, Gabriel Curio

Research output: Contribution to journal › Article

94 Citations (Scopus)

Abstract

Artifacts in magnetoneurography data due to endogenous biological noise sources, like the cardiac 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 biomagnetic 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.

Original language	English
Pages (from-to)	75-87
Number of pages	13
Journal	IEEE Transactions on Biomedical Engineering
Volume	47
Issue number	1
DOIs	https://doi.org/10.1109/10.817622
Publication status	Published - 2000 Jan 24
Externally published	Yes

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Keywords

Artifact reduction
Biomagnetism
Biomedical data processing
Blind source separation
Independent component analysis
Magnetoneurography (MNG)

ASJC Scopus subject areas

Biomedical Engineering

Cite this

Ziehe, A., Muller, K., Nolte, G., Mackert, B. M., & Curio, G. (2000). Artifact reduction in magnetoneurography based on time-delayed second- order correlations. IEEE Transactions on Biomedical Engineering, 47(1), 75-87. https://doi.org/10.1109/10.817622

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10.1109/10.817622