Volume 2, Issue 1

Training and classification of Epilepsy Detection using EEG

Author

G.Rajendra Kumar1 *, Kuda Neswara Rao1 and Santhosh Kumar Dhavala2

Abstract

Abstract:

An electroencephalogram (EEG) is a test used to detect abnormalities related to electrical activity of the brain. This procedure tracks and records brain wave patterns. Small metal discs with thin wires (electrodes) are placed on the scalp, and then send signals to a computer to record the results .The automated detection of epilepsy using EEG signals. Epilepsy is nothing but, the human brain that affected by the syndrome during the fix. We cannot cure the problem fully. But we can prevent from the epileptic syndromes. Use of this paper we can identify the Epileptic syndrome using EEG signals. If someone has affected from the problem means the EEG report shows from the wave signals which comes in that machine. Affected brain signal waves should be differs from the normal brain. Based on the entropy value we can say the person is to be effected with epilepsy or not. Hence this analysis not only enables the correct diagnosis of the patients with epileptic seizures but also predicts the probability of risk in future for the normal persons.

DOI

https://doi.org/10.62226/ijarst20130161

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