Volume : 2, Issue : 12, DEC 2016

WAVELET TRANSFORM ANALYSIS OF EEG SCANS FOR THE DETECTION OF EPILEPSY

Dhruvi Patel, Sudeepti Vedula

Abstract

Epilepsy is a neurological disorder, in other words a central nervous system disorder, which results from various factors. It causes disruption in neural cell activity, which causes seizures, or unusual behavior, sensation and occasionally loss of consciousness. Although epileptic seizures does not negatively impact the patient but the occurrences during these seizures as well as the events following them is results in life-threatening issues. The irregularity of the brain activity during these seizures can possibly result in injuries and can even cause death in certain circumstances. The purpose of this paper is to develop a new processing method to analyze EEG wave sequences and to determine if the waves display characteristics of epilepsy. The method would greatly reduce the discrepancies in wave analysis that result from a neurological inspection by eliminating the effects of human bias. It would have the capacity to differentiate normal brain waves that is alpha, beta, gamma, theta, or delta waves, from that of a patient suffering from epilepsy. Through our method, different parameters would be measured to gain quantitative data determining and demonstrating the mental situation of the brain’s neural activity. The EEG is process to remove the noise and unwanted signals. Then, time and frequency features are extracted from the EEG signals. Finally, using wavelet transformation, the extracted feature are processed to obtain epileptic characteristic. An open source database is used to evaluate our method.

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