Eeg signal classification for epileptic seizure using MATLAB
Amita Shukla1, R. P. Narwaria2
1AAmita Shukla, Department of Electronics Engineering, Madhav Institute of Technology and Science, Gwalior, India.
2R. P. Narwaria, Department of Electronics Engineering, Madhav Institute of Technology and Science, Gwalior, India.
Manuscript received on 30 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 1458-1461| Volume-8 Issue-9, July 2019 | Retrieval Number: I8092078919/19©BEIESP P | DOI: 10.35940/ijitee.I8092.078919
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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: Epilepsy is explained as a group of neurological disorder which may be characterized by epileptic seizure within some consequence of unconstraints because of peculiar cortical nerve cell activities in the brain. The manual detection of this disorder by a neurologist is expensive and time consuming also and there may be some loss of accuracy because of fatigue, computer aided approach etc. This work has proposed a method which is highly efficient and gives accurate results over electroencephalogram signals for epilepsy. MATLAB is a very popular, powerful, general-purpose system or it can be said that it is an general purpose environment for matrix algebra calculations and many other more specific computations. It has various applications in Aerospace, Biology, Finance, data acquisition, etc. Here Matlab is used to classify the EEG signals over some parameters. Here a program is developed in MATLAB to check the condition of signal whether it is healthy or unhealthy.
Keywords: EEG signals, Epileptic seizure, Matlab, Mean, Kurtosis, Seizure detection, Standard deviation.
Scope of the Article: Classification