Auto sleep staging and sleep quality estimation based on BP neural network / 生物医学工程学杂志
Journal of Biomedical Engineering
; (6): 1124-1127, 2005.
Article
em Zh
| WPRIM
| ID: wpr-238262
Biblioteca responsável:
WPRO
ABSTRACT
To estimate the sleep quality, a 3-layer BP neural network was studied. The EEG complexity and the power spectrum of sleep-multigraph served as the input vector of the network . All-night sleep-stage scoring was performed. Then several parameters (sleep period, shallow sleep period, deep sleep period, REM period, ratio of the wakeful period and sleep one) were defined to estimate the sleep quality. The experiments revealed that the estimated sleep condition was the same as the subjects' impression. The data on six cases of all-night sleep show that this method is available to estimate the sleep quality.
Texto completo:
1
Índice:
WPRIM
Assunto principal:
Fisiologia
/
Sono
/
Fases do Sono
/
Processamento de Sinais Assistido por Computador
/
Redes Neurais de Computação
/
Polissonografia
/
Eletroencefalografia
/
Métodos
Tipo de estudo:
Prognostic_studies
Limite:
Humans
Idioma:
Zh
Revista:
Journal of Biomedical Engineering
Ano de publicação:
2005
Tipo de documento:
Article