Bayesian nonstationary autoregressive models for biomedical signal analysis.
IEEE Trans Biomed Eng
; 49(10): 1142-52, 2002 Oct.
Article
em En
| MEDLINE
| ID: mdl-12374338
ABSTRACT
We describe a variational Bayesian algorithm for the estimation of a multivariate autoregressive model with time-varying coefficients that adapt according to a linear dynamical system. The algorithm allows for time and frequency domain characterization of nonstationary multivariate signals and is especially suited to the analysis of event-related data. Results are presented on synthetic data and real electroencephalogram data recorded in event-related desynchronization and photic synchronization scenarios.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Simulação por Computador
/
Processamento de Sinais Assistido por Computador
/
Modelos Lineares
/
Teorema de Bayes
/
Eletroencefalografia
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2002
Tipo de documento:
Article