Extraction of sleep structure information from heart rate variability based on spectrum analysis / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 212-214, 2004.
Artículo
en Chino
| WPRIM
| ID: wpr-291147
ABSTRACT
In this study we made full use of the heart rate spectrum analysis to obtain the character parameters of heart rate variability related to EEG sleep phase information, and then we discarded the correlation between characteristics by employing Principal Component Analysis. Finally, by means of the decision tree based on Fisher rules, we established two full automatic models for identifying healthy people and sleep apnea hypopnea syndroma (SAHS) patients respectively. The result of experiments indicates that the model is accurate and robust.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Fisiología
/
Sueño
/
Síndromes de la Apnea del Sueño
/
Fases del Sueño
/
Procesamiento de Señales Asistido por Computador
/
Árboles de Decisión
/
Polisomnografía
/
Electrocardiografía
/
Electroencefalografía
/
Frecuencia Cardíaca
Tipo de estudio:
Estudio pronóstico
Límite:
Femenino
/
Humanos
/
Masculino
Idioma:
Chino
Revista:
Journal of Biomedical Engineering
Año:
2004
Tipo del documento:
Artículo
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