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Epilepsy detection from EEG signals: a review - 2018

Epilepsy Detection From Eeg Signals: A Review

Survey Paper on Epilepsy Detection From Eeg Signals

Research Area:  Machine Learning

Abstract:

Over many decades, research is being attempted for the detection of epileptic seizure to support for automatic diagnosis system to help clinicians from burdensome work. In this respect, an enormous number of research papers is published for identification of epileptic seizure. It is difficult to present a detailed review of all these literature. Therefore, in this paper, an attempt has been made to review the detection of an epileptic seizure. More than 100 research papers have been discussed to discern the techniques for detecting the epileptic seizure. Further, the literature survey shows that the pattern recognition required to detect epileptic seizure varies with different conditions of EEG datasets. This is mainly due to the fact that EEG detected under different conditions has different characteristics. This is, in turn, necessitates the identification of pattern recognition technique to effectively distinguish EEG epileptic data from a various condition of EEG data.

Keywords:  
Epilepsy Detection
Eeg Signals
Machine Learning
Deep Learning

Author(s) Name:  A. Sharmila

Journal name:  Journal of Medical Engineering & Technology

Conferrence name:  

Publisher name:  Taylor and Francis

DOI:  10.1080/03091902.2018.1513576

Volume Information:  Volume 42, 2018 - Issue 5