A novel wavelet-based index to detect epileptic seizures using scalp EEG signals

Ali Shahidi Zandi, Guy A. Dumont, Manouchehr Javidan, Reza Tafreshi, Bernard A. MacLeod, Craig R. Ries, Ernie Puil

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

12 Citations (Scopus)

Abstract

In this paper, we propose a novel wavelet-based algorithm for the detection of epileptic seizures. The algorithm is based on the recognition of rhythmic activities associated with ictal states in surface EEG recordings. Using a moving-window analysis, we first decomposed each EEG segment into a wavelet packet tree. Then, we extracted the coefficients corresponding to the frequency band of interest defined for rhythmic activities. Finally, a normalized index sensitive to both the rhythmicity and energy of the EEG signal was derived, based on the resulting coefficients. In our study, we evaluated this combined index for real-time detection of epileptic seizures using a dataset of ∼11.5 hours of multichannel scalp EEG recordings from three patients and compared it to our previously proposed waveletbased index. In this dataset, the novel combined index detected all epileptic seizures with a false detection rate of 0.52/hr.

Original languageEnglish
Title of host publicationProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
Pages919-922
Number of pages4
Publication statusPublished - 2008
Event30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - Vancouver, BC, Canada
Duration: 20 Aug 200825 Aug 2008

Other

Other30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
CountryCanada
CityVancouver, BC
Period20/8/0825/8/08

Fingerprint

Electroencephalography
Scalp
Epilepsy
Periodicity
Frequency bands
Stroke
Datasets

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

Cite this

Zandi, A. S., Dumont, G. A., Javidan, M., Tafreshi, R., MacLeod, B. A., Ries, C. R., & Puil, E. (2008). A novel wavelet-based index to detect epileptic seizures using scalp EEG signals. In Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 (pp. 919-922). [4649304]

A novel wavelet-based index to detect epileptic seizures using scalp EEG signals. / Zandi, Ali Shahidi; Dumont, Guy A.; Javidan, Manouchehr; Tafreshi, Reza; MacLeod, Bernard A.; Ries, Craig R.; Puil, Ernie.

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08. 2008. p. 919-922 4649304.

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

Zandi, AS, Dumont, GA, Javidan, M, Tafreshi, R, MacLeod, BA, Ries, CR & Puil, E 2008, A novel wavelet-based index to detect epileptic seizures using scalp EEG signals. in Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08., 4649304, pp. 919-922, 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08, Vancouver, BC, Canada, 20/8/08.
Zandi AS, Dumont GA, Javidan M, Tafreshi R, MacLeod BA, Ries CR et al. A novel wavelet-based index to detect epileptic seizures using scalp EEG signals. In Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08. 2008. p. 919-922. 4649304
Zandi, Ali Shahidi ; Dumont, Guy A. ; Javidan, Manouchehr ; Tafreshi, Reza ; MacLeod, Bernard A. ; Ries, Craig R. ; Puil, Ernie. / A novel wavelet-based index to detect epileptic seizures using scalp EEG signals. Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08. 2008. pp. 919-922
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