Symbolic dynamics analysis of epileptic EEG signals of the rat / 生物医学工程学杂志
J. biomed. eng
; Sheng wu yi xue gong cheng xue za zhi;(6): 760-763, 2012.
Article
en Zh
| WPRIM
| ID: wpr-246564
Biblioteca responsable:
WPRO
ABSTRACT
Epilepsy is a common chronic neurological disease, which is caused by excessive brain neuron discharge. The epileptic seizure has the characteristic of abruptness and reiteration. Prediction of seizures has great significance for patients to take timely and effective clinical measures. The symbolic dynamics method was introduced to analyze absence epilepsy EEG. The key parameters affecting the symbolic statistical quantities were discussed. The symbolic entropy and time irreversebility were calculated in different epilepsy stages. It was found that the symbolic entropy and the time irreversebility were rather big in interictal stage. The two parameters declined significantly during the transformation process from interictal stage to ictal stage and maintained lower value during ictal stage. The results showed that the symbolic dynamics method could reflect the changes of epilepsy EEG. The symbolic entropy and time irreversebility are sensitive features indicating different stages of seizures and have potential important clinical applications.
Texto completo:
1
Base de datos:
WPRIM
Asunto principal:
Ratas Endogámicas
/
Algoritmos
/
Procesamiento de Señales Asistido por Computador
/
Encéfalo
/
Electroencefalografía
/
Epilepsia
Límite:
Animals
Idioma:
Zh
Revista:
J. biomed. eng
/
Sheng wu yi xue gong cheng xue za zhi
Año:
2012
Tipo del documento:
Article