EEG Based Epileptic Seizure Detection

EEG Based Epileptic Seizure Detection

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2016 by IJETT Journal
Volume-33 Number-4
Year of Publication : 2016
Authors : Siddharth Shah, Vishakha Sasane, Simantini Vardam, Vishal Bharate
DOI :  10.14445/22315381/IJETT-V33P237

Citation 

Siddharth Shah, Vishakha Sasane, Simantini Vardam, Vishal Bharate"EEG Based Epileptic Seizure Detection", International Journal of Engineering Trends and Technology (IJETT), V33(4),191-195 March 2016. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
Epilepsy is common neurological disorders that greatly impair patient daily lives[1]. Traditional epileptic diagnosis relies on lengthy EEG recording that requires the presence of seizure (ictal) activities.EEG has established itself as an important means of identifying and analyzing epileptic seizure activity in humans. The wavelet transform with statistic values to extract features and tested the performance of system by Support Vector Machines are the best cascading technique for EEG signal analysis. The wavelet transform can be use for feature extraction and obtain statistical parameters from the decomposed wavelet coefficients and A Support Vector Machine is used for the classification.

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Keywords
EEG, support vector machine , entropy , seizure, electroencephalogram , brain, epilepsy.