Epileptic Seizure Prediction and Identification of Epileptogenic Region using EEG Signal

被引：0
|
作者：
Sharma, Aarti [1 ]
Rai, J. K. [2 ]
Tewari, R. P. [3 ]
机构：
[1] Inderprastha Engn Coll, Dept ECE, Ghaziabad, India
[2] Amity Univ, ASET, Dept ECE, Noida, Uttar Pradesh, India
[3] MNNIT, Dept Appl Mech, Allahabad, Uttar Pradesh, India
来源：
2015 INTERNATIONAL CONFERENCE ON GREEN COMPUTING AND INTERNET OF THINGS (ICGCIOT) | 2015年
关键词：
coherence; correlation; electro encephalo gram (EEG); epilepsy; seizure;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a method to predict an epileptic seizure using synchrony analysis of EEG signals. The topographical map of the brain is divided into different regions and synchrony measures are computed between these different regions to identify the region responsible for epileptic seizure. The molecular and biochemical process of seizure generation during pre-ictal period is essential for seizure to start and this property has been investigated here in EEG signals to predict the onset of epileptic seizure. Particular region of the brain responsible for seizure is identified by pairing the EEG signals from different regions of brain and identifying the changes in synchrony measures corresponding to those regions. Two synchrony measures one from time domain, correlation, and other from frequency domain, coherence, are used in this work to validate the observations. Coherence and correlation increases in pre-ictal state and hence seizure onset can be predicted in advance. The results shows that epileptogenic region of the brain can also be identified.
引用
收藏
页码：1194 / 1198
页数：5
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