The sample entropy and its application in EEG based epilepsy detection / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 200-205, 2007.
Artículo
en Chino
| WPRIM
| ID: wpr-331365
ABSTRACT
It is of great importance for the detection of epilepsy in clinical applications. Based on the limitations of the common used approximate entropy (ApEn) in the epilepsy detection, this paper analyzes epileptic EEG signals with the sample entropy (SampEn) approach, a new method for signal analysis with much higher precision than that of the ApEn. Data analysis results show that the values from both ApEn and SampEn decrease significantly when the epilepsy is burst. Furthermore, the SampEn is more sensitive to EEG changes caused by the epilepsy, about 15%-20% higher than the results of the ApEn.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Algoritmos
/
Procesamiento de Señales Asistido por Computador
/
Interpretación Estadística de Datos
/
Dinámicas no Lineales
/
Entropía
/
Diagnóstico
/
Electroencefalografía
/
Epilepsia
/
Métodos
Tipo de estudio:
Estudio diagnóstico
Límite:
Humanos
Idioma:
Chino
Revista:
Journal of Biomedical Engineering
Año:
2007
Tipo del documento:
Artículo
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