Epileptogenic focus detection in intracranial EEG based on delay permutation entropy

Zhu, Guohun and Li, Yan and Wen, Peng (Paul) and Wang, Shuaifang and Xi, Min (2013) Epileptogenic focus detection in intracranial EEG based on delay permutation entropy. In: International Symposium on Computational Models for Life Sciences (CMLS 2013) , 27-29 Nov 2013, Sydney, Australia.

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Epileptogenic localization is a critical factor for successful epilepsy surgery. Determining the epileptogenic hippocampus with single channel intracranial electroencephalography (iEEG) recording is beneficial to decrease the risk of infection compared with that based on multi-channel iEEGs. Delay permutation entropy (DPE) methodology is presented in this study to measure iEEG with different delay lag based on focal epileptogenic zone. A total of 1600 20-s epileptic iEEG are evaluated and are used as features to classify epileptogenic and non-epileptogenic zone. Experimental results show that the DPE index of epileptogenic iEEG is significant lower than that of non-epileptogenic hemisphere when delay lag ranges from 5 to 30 (p=0.01). In addition, the accuracy of identifying epileptogenic region with the DPE index is increased when the delay lag between 5 and 25, compared to the performance of the PE index.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2013 AIP Publishing LLC. Permission is granted to quote from the AIP Conference Proceedings with the customary acknowledgment of the source. Republication of an article or portions thereof (e.g., extensive excerpts, figures, tables, etc.) in original form or in translation, as well as other types of reuse (e.g., in course packs) require formal permission from AIP Publishing.
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - No Department
Date Deposited: 04 Dec 2013 05:18
Last Modified: 24 Nov 2014 23:45
Uncontrolled Keywords: DPE; epileptogenic; focus localization; iEEG; support vector machine
Fields of Research : 11 Medical and Health Sciences > 1109 Neurosciences > 110903 Central Nervous System
10 Technology > 1004 Medical Biotechnology > 100402 Medical Biotechnology Diagnostics (incl. Biosensors)
11 Medical and Health Sciences > 1103 Clinical Sciences > 110320 Radiology and Organ Imaging
Socio-Economic Objective: C Society > 92 Health > 9201 Clinical Health (Organs, Diseases and Abnormal Conditions) > 920111 Nervous System and Disorders
Identification Number or DOI: 10.1063/1.4824993
URI: http://eprints.usq.edu.au/id/eprint/24320

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