Artifact reduction in magnetoneurography based on time-delayed second-order correlations.
IEEE Trans Biomed Eng
; 47(1): 75-87, 2000 Jan.
Article
em En
| MEDLINE
| ID: mdl-10646282
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.
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Base de dados:
MEDLINE
Assunto principal:
Processamento de Sinais Assistido por Computador
/
Técnicas de Diagnóstico Neurológico
/
Potenciais Somatossensoriais Evocados
Tipo de estudo:
Diagnostic_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2000
Tipo de documento:
Article