2020
DOI: 10.35940/ijeat.b4571.029320
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Automated Epileptic Seizure Detection Model using WPT, CFS and KNN based Multiclass TSVM

Abstract: The main aim of the proposed work is to generate an accurate automated seizure detection model for the performance evaluation of the improvement on epileptic patients in an improved manner. Long data sets of EEG signals are recorded for a long duration of time which has taken from PhysioNet CHB-MIT EEG datset for this experimental work. Six types of elements are excerpted from EEG signals by using WPT method and which is then classified by using CFS method. Then, all the features are combinely inputted to the … Show more

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