Autoregressive model order property for sleep EEG / 生物医学工程学杂志
Journal of Biomedical Engineering
; (6): 394-396, 2004.
Article
em Zh
| WPRIM
| ID: wpr-291104
Biblioteca responsável:
WPRO
ABSTRACT
Traditional sleep scoring system describes the sleep EEG characterized by features in time domain as well as frequency domain. Power Spectral Density (PSD) is one of the well-used methods to observe the occurrence of specified rhythms. However, the parameter model based PSD estimation is used with the assumption that the model order is determined as low as possible through prior knowledge. This paper briefs the development of Autoregressive Model Order (ARMO) criterion, and provides the distribution of ARMOs for specified sleep EEG, which shows that ARMOs concentrate on several well separated regions that are indicative of the microstructure and transition states. This study suggests the promising perspective of ARMO as a special EEG feature for weighing complexity, randomness and rhythm components.
Texto completo:
1
Índice:
WPRIM
Assunto principal:
Fisiologia
/
Fases do Sono
/
Processamento de Sinais Assistido por Computador
/
Análise de Regressão
/
Ritmo Delta
/
Eletroencefalografia
/
Modelos Neurológicos
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
Limite:
Humans
Idioma:
Zh
Revista:
Journal of Biomedical Engineering
Ano de publicação:
2004
Tipo de documento:
Article