Citation

Deivasigamani, Subbramania Pattar and Senthilpari, Chinnaiyan and Wong, Hin Yong (2018) Computer Aided Automatic Detection and Classification of EEG Signals for Screening Epilepsy Disorder. Journal of Information Science and Engineering, 34. pp. 687-700. ISSN 1016-2364

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Abstract

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.

Item Type:	Article
Uncontrolled Keywords:	Electroencephalography, Brain disorder, epilepsy, epileptic surgery, EEG signals, focal signal
Subjects:	Q Science > QP Physiology
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	05 Nov 2020 19:26
Last Modified:	05 Nov 2020 19:30
URII:	http://shdl.mmu.edu.my/id/eprint/7241

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