Interictal epileptic discharge EEG detection based on wavelet and multiresolution analysis

Mohd Syakir Fathillah, Rosmina Jaafar, Kalaivani Chell, Rabani Remli, Wan Asyraf Wan Zainal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Epileptologists use interictal epileptic discharge (lED) as a marker for epilepsy. The present conventional method to distinguish normal and I ED by an epileptologist's visual screening is tedious and operator dependent. The focus of this paper is to distinguish normal and IED in clinically recorded electroencephalogram (EEG) using discrete wavelet transform. Wavelet multiresolution analysis has been adopted in this study looking into wavelet energy, wavelet entropy and amplitude dispersion in every sub-band. The extracted features were classified using support vector machine (SVM). EEG data were obtained from both online database and Pusat Perubatan Universiti Kebangsaan Malaysia (PPUKM) Neurology database. The ability of the proposed algorithm in detecting the presence of IED is 96.5% of accuracy, 100% of sensitivity and 95.5% of specificity. The algorithm has good potential to be used in clinical practice for IED detection with validation against the present clinical detection method.

Original languageEnglish
Title of host publication2017 7th IEEE International Conference on System Engineering and Technology, ICSET 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages140-144
Number of pages5
ISBN (Electronic)9781538603833
DOIs
Publication statusPublished - 27 Nov 2017
Event7th IEEE International Conference on System Engineering and Technology, ICSET 2017 - Shah Alam, Malaysia
Duration: 2 Oct 20173 Oct 2017

Other

Other7th IEEE International Conference on System Engineering and Technology, ICSET 2017
CountryMalaysia
CityShah Alam
Period2/10/173/10/17

Fingerprint

Multiresolution analysis
Multiresolution Analysis
Wavelet analysis
Wavelet Analysis
Electroencephalography
Wavelets
Epilepsy
Malaysia
Discrete wavelet transforms
Neurology
Wavelet Transform
Specificity
Screening
Support vector machines
Support Vector Machine
Entropy
Dependent
Operator
Energy
Electroencephalogram

Keywords

  • approximate entropy (ApEn)
  • discrete wavelet transform (DWT)
  • epilepsy
  • interictal seizure detection
  • support vector machine (SVM)
  • time frequency analysis

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Control and Optimization
  • Computer Networks and Communications
  • Human-Computer Interaction

Cite this

Fathillah, M. S., Jaafar, R., Chell, K., Remli, R., & Zainal, W. A. W. (2017). Interictal epileptic discharge EEG detection based on wavelet and multiresolution analysis. In 2017 7th IEEE International Conference on System Engineering and Technology, ICSET 2017 - Proceedings (pp. 140-144). [8123435] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSEngT.2017.8123435

Interictal epileptic discharge EEG detection based on wavelet and multiresolution analysis. / Fathillah, Mohd Syakir; Jaafar, Rosmina; Chell, Kalaivani; Remli, Rabani; Zainal, Wan Asyraf Wan.

2017 7th IEEE International Conference on System Engineering and Technology, ICSET 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 140-144 8123435.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Fathillah, MS, Jaafar, R, Chell, K, Remli, R & Zainal, WAW 2017, Interictal epileptic discharge EEG detection based on wavelet and multiresolution analysis. in 2017 7th IEEE International Conference on System Engineering and Technology, ICSET 2017 - Proceedings., 8123435, Institute of Electrical and Electronics Engineers Inc., pp. 140-144, 7th IEEE International Conference on System Engineering and Technology, ICSET 2017, Shah Alam, Malaysia, 2/10/17. https://doi.org/10.1109/ICSEngT.2017.8123435
Fathillah MS, Jaafar R, Chell K, Remli R, Zainal WAW. Interictal epileptic discharge EEG detection based on wavelet and multiresolution analysis. In 2017 7th IEEE International Conference on System Engineering and Technology, ICSET 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 140-144. 8123435 https://doi.org/10.1109/ICSEngT.2017.8123435
Fathillah, Mohd Syakir ; Jaafar, Rosmina ; Chell, Kalaivani ; Remli, Rabani ; Zainal, Wan Asyraf Wan. / Interictal epileptic discharge EEG detection based on wavelet and multiresolution analysis. 2017 7th IEEE International Conference on System Engineering and Technology, ICSET 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 140-144
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