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.
Artículo
en Chino
| WPRIM
| ID: wpr-238262
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:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Fisiología
/
Sueño
/
Fases del Sueño
/
Procesamiento de Señales Asistido por Computador
/
Redes Neurales de la Computación
/
Polisomnografía
/
Electroencefalografía
/
Métodos
Tipo de estudio:
Estudio pronóstico
Límite:
Humanos
Idioma:
Chino
Revista:
Journal of Biomedical Engineering
Año:
2005
Tipo del documento:
Artículo
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