Estimation of epileptic seizure by using Lyapunov exponent, wavelet entropy and artificial neural networks
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Tarih
2012
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Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Brain signals are widely used for diagnosing epilepsy disease. The objective of this study is to design an automated system for differentiating epileptic EEG signals from non epileptic ones. The EEG signals used in the study comprise both healthy and epileptic signals which have been taken from patients during seizure. The signals were analyzed in phase space by means of Lyapunov exponent and wavelet entropy. Some features were identified from this phase space data and automatically classified by an adapted.
Açıklama
2012 20th Signal Processing and Communications Applications Conference, SIU 2012 -- 18 April 2012 through 20 April 2012 -- Fethiye, Mugla-- 90786
Anahtar Kelimeler
Ann, Eeg, Epilepsy, Lyapunov exponent, Wavelet entropy
Kaynak
2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings
WoS Q Değeri
Scopus Q Değeri
N/A
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Künye
Acar, H. ve Bayram, M. (2012). Epileptik nöbetin Lyapunov üsteli̇, dalgacık entropi ve yapay sinir ağları ile kestirimi. 2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings.
