Complementary methods for interpreting brain signals: linear versus nonlinear techniques.
Annu Int Conf IEEE Eng Med Biol Soc
; 2007: 1969-72, 2007.
Article
em En
| MEDLINE
| ID: mdl-18002370
ABSTRACT
Magnetoencephalography (MEG) brain signals are characterized using both linear and nonlinear dynamical methods. The linear approach employs the power analysis in a spatial visualization. The nonlinear approach estimates the value of d(infinity) to characterize the system's asymptotic chaotic behavior using a computationally less onerous method than the conventional one for d(infinity). Both methods are applied here to study a female patient with obsessive compulsive disorder and an age-sex matched normal subject. MEG time series were obtained using dual 37-channel bio-magnetometers (4-D Neuroimaging, San Diego, CA).
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Processamento de Sinais Assistido por Computador
/
Encéfalo
/
Magnetoencefalografia
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Interpretação Estatística de Dados
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Transtorno Obsessivo-Compulsivo
Tipo de estudo:
Observational_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Female
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Humans
Idioma:
En
Ano de publicação:
2007
Tipo de documento:
Article