Paper Details

Epilepsy is a prevalent chronic disorder in humans. Epileptic seizure is most usually executed by specialists with observations made by visual means using signals of Electroencephalography (EEG). The diagnosis of epilepsy using Electroencephalogram (EEG) plays a vital role to aid the patients from epilepsy. Visual Diagnosis of patients suffering from epilepsy would be a time consuming phenomenon and would delay the treatment and would also incur human error. So, a system is proposed for improving the detection of Epileptic Seizure in EEG Signal with the help of Machine Learning algorithms. Inappropriateness of larger data processing and low yield are the most important downside which belong to previous research. Previously, Fourier transform and SVM methods were used to detect epilepsy seizures. In the proposed work the system can be trained by user in ML to achieve accurate results. So, ML approach is much more efficient than previous approach of Fourier or SVM.

: Epilepsy, EEG, Epileptic Seizure, Machine Learning algorithms, diagnosis, MATLAB.