Paper Info
Title
Artifact reduction in magnetoneurography based on time-delayed second-order correlations.
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.
Year
DOI
Venue
2000
10.1109/10.817622
Artifact Reduction in Magnetoneurography Based on Time-Delayed Second Order Correlations
Keywords
DocType
Volume
effective artifact reduction method,evoked response,time-delayed second order correlations,order temporal correlation,bio-magnetic measurement,heart signal,endogenous biological noise source,blind source separation algorithm,technical noise source,artifact reduction,neuro-magnetic source analysis,peripheral nervous system,biomedical imaging,blind source separation,independent component analysis,adaptive signal processing,linear algebra,neurophysiology,decorrelation,second order,nervous system,biomagnetism
Journal
47
Issue
ISSN
Citations 
1
0018-9294
44
PageRank 
References 
Authors
11.41
12
5
Name
Order
Citations
PageRank
Ziehe, Andreas161772.50
K R Müller24411.41
G Nolte353550.42
Bruno-marcel Mackert46314.81
Gabriel Curio51220201.67