Epileptogenic focus detection in intracranial EEG based on delay permutation entropy
Paper
Paper/Presentation Title | Epileptogenic focus detection in intracranial EEG based on delay permutation entropy |
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Presentation Type | Paper |
Authors | Zhu, Guohun (Author), Li, Yan (Author), Wen, Peng (Paul) (Author), Wang, Shuaifang (Author) and Xi, Min (Author) |
Editors | Sun, Changming, Bednarz, Tomasz, Pham, Tuan D., Vallotton, Pascal and Wang, Dadong |
Journal or Proceedings Title | AIP Conference Proceedings |
Journal Citation | 1559, pp. 31-36 |
Number of Pages | 6 |
Year | 2013 |
Publisher | AIP Publishing |
Place of Publication | United States |
ISSN | 1551-7616 |
ISBN | 9780735411876 |
Digital Object Identifier (DOI) | https://doi.org/10.1063/1.4824993 |
Web Address (URL) of Paper | https://aip.scitation.org/doi/abs/10.1063/1.4824993 |
Conference/Event | International Symposium on Computational Models for Life Sciences (CMLS 2013) |
Event Details | International Symposium on Computational Models for Life Sciences (CMLS 2013) Parent International Symposium on Computational Models for Life Sciences Delivery In person Event Date 27 to end of 29 Nov 2013 Event Location Sydney, Australia |
Abstract | 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. |
Keywords | DPE; epileptogenic; focus localization; iEEG; support vector machine |
ANZSRC Field of Research 2020 | 320903. Central nervous system |
320602. Medical biotechnology diagnostics (incl. biosensors) | |
320222. Radiology and organ imaging | |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Institution of Origin | University of Southern Queensland |
Byline Affiliations | University of Southern Queensland |
Guilin University of Electronic Technology, China | |
Centre for Systems Biology |
https://research.usq.edu.au/item/q2259/epileptogenic-focus-detection-in-intracranial-eeg-based-on-delay-permutation-entropy
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