Epilepsy detection from EEG signals: a review

被引：29
作者：
Sharmila A. [1 ]
机构：
[1] School of Electrical Engineering, VIT, Vellore
来源：
Journal of Medical Engineering and Technology | 2018年 / 42卷 / 05期
关键词：
classification; feature extraction; feature selection; mutual information; Seizure;
D O I：
10.1080/03091902.2018.1513576
中图分类号：
学科分类号：
摘要：
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. © 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.
引用
收藏
页码：368 / 380
页数：12
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