Performance Analysis of Entropy Methods in Detecting Epileptic Seizure from Surface Electroencephalograms

Emran Ali; Radhagayathri K. Udhayakumar; Maia Angelova; Chandan Karmakar

doi:10.1109/EMBC46164.2021.9629538

Performance Analysis of Entropy Methods in Detecting Epileptic Seizure from Surface Electroencephalograms

Emran Ali, Radhagayathri K. Udhayakumar, Maia Angelova, Chandan Karmakar

Deakin University

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

6 Citations (Scopus)

Abstract

Physiological signals like Electrocardiography (ECG) and Electroencephalography (EEG) are complex and nonlinear in nature. To retrieve diagnostic information from these, we need the help of nonlinear methods of analysis. Entropy estimation is a very popular approach in the nonlinear category, where entropy estimates are used as features for signal classification and analysis. In this study, we analyze and compare the performances of four entropy methods; namely Distribution entropy (DistEn), Shannon entropy (ShanEn), Renyi entropy (RenEn) and LempelZiv complexity (LempelZiv) as classification features to detect epileptic seizure (ES) from surface Electroencephalography (sEEG) signal. Experiments were conducted on sEEG data from 23 subjects, obtained from the CHB-MIT database of PhysioNet. ShanEn, RenEn and LempelZiv entropy are found to be potential features for accurate and consistent detection of ES from sEEG, across multiple channels and subjects.

Original language	English
Title of host publication	43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1082-1085
Number of pages	4
ISBN (Electronic)	9781728111797
DOIs	https://doi.org/10.1109/EMBC46164.2021.9629538
Publication status	Published - 9 Dec 2021
Externally published	Yes
Event	43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021 - Virtual, Online, Mexico Duration: 1 Nov 2021 → 5 Nov 2021

Publication series

Name	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)	1557-170X

Conference

Conference	43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021
Country/Territory	Mexico
City	Virtual, Online
Period	1/11/21 → 5/11/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

Entropy
Epilepsy
Epileptic Seizure
sEEG
Seizure detection

ASJC Scopus subject areas

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

Access to Document

10.1109/EMBC46164.2021.9629538

Cite this

Ali, E., Udhayakumar, R. K., Angelova, M., & Karmakar, C. (2021). Performance Analysis of Entropy Methods in Detecting Epileptic Seizure from Surface Electroencephalograms. In 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021 (pp. 1082-1085). (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC46164.2021.9629538

Performance Analysis of Entropy Methods in Detecting Epileptic Seizure from Surface Electroencephalograms. / Ali, Emran; Udhayakumar, Radhagayathri K.; Angelova, Maia et al.
43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 1082-1085 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

Ali, E, Udhayakumar, RK, Angelova, M & Karmakar, C 2021, Performance Analysis of Entropy Methods in Detecting Epileptic Seizure from Surface Electroencephalograms. in 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Institute of Electrical and Electronics Engineers Inc., pp. 1082-1085, 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021, Virtual, Online, Mexico, 1/11/21. https://doi.org/10.1109/EMBC46164.2021.9629538

Ali E, Udhayakumar RK, Angelova M, Karmakar C. Performance Analysis of Entropy Methods in Detecting Epileptic Seizure from Surface Electroencephalograms. In 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 1082-1085. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/EMBC46164.2021.9629538

Ali, Emran ; Udhayakumar, Radhagayathri K. ; Angelova, Maia et al. / Performance Analysis of Entropy Methods in Detecting Epileptic Seizure from Surface Electroencephalograms. 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 1082-1085 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

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Performance Analysis of Entropy Methods in Detecting Epileptic Seizure from Surface Electroencephalograms

Abstract

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