Fusion of Signal and Differential Signal Domain Features for Epilepsy Identification in Electroencephalogram Signals

Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 38)

Abstract

Epilepsy is a common neurological disorder and the number of epilepsy patients around the world is increasing in an alarming rate. Identifying and controlling epilepsy is a challenging task. Traditionally, electroencephalogram (EEG) is the most dependable method for the rigorous understanding of epilepsy states. In this paper, a fusion of signal and differential domain features are presented for the effective analysis and identification of epileptic EEG signals. The results of the proposed method for the identification of epilepsy in EEG signal are promising.

Keywords

Epilepsy identification EEG Fusion of features Entropy Signal energy 

Notes

Acknowledgements

The authors would like to thank Central University of Kerala for providing research and financial support. The authors would also like to thank the reviewers for their valuable comments to improve the quality of paper.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Computer ScienceCentral University of KeralaPeriye, KasaragodIndia

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