Classification of Normal and Epileptic EEG Signals Using Simple Statistical Feature Extraction

IJSRP, Volume 9, Issue 10, October 2019 Edition [ISSN 2250-3153]

Classification of Normal and Epileptic EEG Signals Using Simple Statistical Feature Extraction

Khin Mu Mu Myint, La Pyae Lynn, Phyu Phyu Htun

Abstract: Electroencephalogram (EEG) is a useful, lost-cost, non-invasive technique used in clinical studies to check the electrical activity of the brain. EEG is widely used in medicine for symptomatic and analysis of several situations such as epilepsy, brain tumors. Epilepsy is a neurological disease that referred to as a disorder of the central nervous system distinguished by the loss of consciousness and seizures.

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Khin Mu Mu Myint, La Pyae Lynn, Phyu Phyu Htun (2019); Classification of Normal and Epileptic EEG Signals Using Simple Statistical Feature Extraction; International Journal of Scientific and Research Publications (IJSRP) 9(10) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.9.10.2019.p9444