JISE


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Journal of Information Science and Engineering, Vol. 34 No. 3, pp. 687-700


Computer Aided Automatic Detection and Classification of EEG Signals for Screening Epilepsy Disorder


S. DEIVASIGAMANI1, C. SENTHILPARI2 AND HIN-YONG WONG2
1Faulty of Engineering and Computer Technology
AIMST University
Kedah, 08100 Malaysia

2Faculty of Engineering
Multimedia University
Cyberjaya Campus, 63100 Malaysia
E-mail: deivasigamani@aimst.edu.my


  Infection in human brain causes brain disorder which is in the form of Epilepsy. The infected area in the brain region generates the irregular pattern signals as focal signals and the other healthy region in the brain generates the regular pattern signals as non-focal signals. Hence, the detection of focal signals from the non-focal signals is important for epileptic surgery in epilepsy patients. This paper proposes a simple and efficient methodology for EEG signals’ classifications using ANFIS classifier. The performance of the proposed EEG signals classification system is evaluated in terms of sensitivity, specificity and accuracy.


Keywords: brain disorder, epilepsy, epileptic surgery, EEG signals, focal signal

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