Analysis of EEG Signals for Epilepsy and Seizure by decomposition with Wavelet Transform
Sonal Jain1, A. K Wadhwani2
1Sonal Jain, Measurement and Control System Electrical Engineering Department, Madhav Institute of Technology and Science, Gwalior, India.
2Dr. A. K Wadhwani, Measurement and Control System Electrical Engineering Department, Madhav Institute of Technology and Science, Gwalior, India.
Manuscript received on March 02, 2012. | Revised Manuscript received on March 31, 2012. | Manuscript published on April 30, 2012. | PP: 293-297 | Volume-1 Issue-4, April 2012 | Retrieval Number: D0330041412/2012©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The Electroencephalogram (EEG) is a complex signal that indicates the electrical activity of brain. EEG is a signal that represents that effect of the superimposition of diverse processes in the brain. Epilepsy is a common brain disorder. Out of hundred one person is suffering from this problem. Here we study a novel scheme for detecting epileptic seizure from EEG data recorded for healthy subjects and Epileptic patients. EEG is obtained by International 10-20 electrodes system. Wavelet transform is used for feature extraction. Wavelet Transform (WT) provides a flexible way of time-frequency representation of a signal.
Keywords: EEG (Electro Encephalo Graph), Epilepsy, Seizure, Wavelet Transform.