Title :
Fuzzy Lyapunov exponent based onset detection of the epileptic seizures
Author :
Arunkumar, N. ; Ramkumar, Kannan ; Hema, S. ; Nithya, A. ; Prakash, P. ; Kirthika, V.
Author_Institution :
Dept. of Electron. & Instrum. Eng., SASTRA Univ., Thanjavur, India
Abstract :
Various algorithms have been proposed for the detection of onset of epilepsy. Here we have used the Rosenstein algorithm to calculate the Largest Lyapunov exponent of the given Electroencephalogram (EEG) signal. We have combined this algorithm with fuzzy-rule based system. A fuzzy interference system is employed to detect the normal and the onset of epilepsy.
Keywords :
Lyapunov methods; electroencephalography; fuzzy reasoning; fuzzy systems; medical disorders; medical signal processing; EEG signal; Rosenstein algorithm; electroencephalogram signal; epileptic seizure detection; fuzzy Lyapunov exponent based onset detection; fuzzy interference system; fuzzy-rule based system; Communications technology; Conferences; Educational institutions; Electroencephalography; Entropy; Epilepsy; Interference; Fuzzy logic; Largest Lyapunov Exponent; epilepsy;
Conference_Titel :
Information & Communication Technologies (ICT), 2013 IEEE Conference on
Conference_Location :
JeJu Island
Print_ISBN :
978-1-4673-5759-3
DOI :
10.1109/CICT.2013.6558185
