Journal article
Detection of epileptic seizure based on entropy analysis of short-term EEG
Peng Li, Chandan Karmakar, John Yearwood, Svetha Venkatesh, Marimuthu Palaniswami, Changchun Liu
PLOS ONE | Public Library of Science | Published : 2018
Abstract
Entropy measures that assess signals’ complexity have drawn increasing attention recently in biomedical field, as they have shown the ability of capturing unique features that are intrinsic and physiologically meaningful. In this study, we applied entropy analysis to electroencephalogram (EEG) data to examine its performance in epilepsy detection based on short-term EEG, aiming at establishing a short-term analysis protocol with optimal seizure detection performance. Two classification problems were considered, i.e., 1) classifying interictal and ictal EEGs (epileptic group) from normal EEGs; and 2) classifying ictal from interictal EEGs. For each problem, we explored two protocols to analyz..
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Grants
Awarded by Natural Science Foundation of Shandong Province
Awarded by National Natural Science Foundation of China
Awarded by China Postdoctoral Council
Awarded by Deakin University CRGS
Awarded by Department of Science & Technology of Shandong Province
Funding Acknowledgements
The study was supported by the Natural Science Foundation of Shandong Province (http://www.sdnsf.gov.cn) under Grant ZR2015FQ016 (PL), the National Natural Science Foundation of China (http://www.nsfc.gov.cn) under Grant 61601263 (PL), the International Postdoctoral Exchange Fellowship from the China Postdoctoral Council (http://www.chinapostdoctor.org.cn) under Grant 20150042 (PL). CK was supported by Alfred Deakin Postdoctoral Research Fellowship and Deakin University CRGS (http://www.deakin.edu.au/research/support-for-researchers/find-funding/deakin-university-funding) under Grant 0000031139. CL was supported by the National Natural Science Foundation of China (http://www.nsfc.gov.cn) under Grant 61471223 and the Department of Science & Technology of Shandong Province (http://www.sdstc.gov.cn/) under Grants 2014GSF118030 and 2015GSF118179. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.