A wavelet based analysis of energy redistribution in scalp EEG during epileptic seizures

M. Ursino, E. Magosso, E. Gardella, G. Rubboli, C. A. Tassinari

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

Abstract

In this work, wavelet decomposition and multiresolution analysis are used to explore the changes in scalp EEG signals during epileptic seizures. EEG tracings, which include non-epileptic periods, the beginning of seizure and the peak of seizure, have been decomposed in five details using order 10 Daubechies orthonormal wavelets. Energy has then been computed, at each detail, from square wavelet coefficients, in order to unmask the presence of brief episodes of energy relocation among different scales. Results reveal the existence of significant changes in energy distribution at seizure onset; this redistribution, however, exhibits significant differences from one patient to another, and also among different channels in the same patient. Some channels exhibit a significant energy increase at low scales (high frequencies greater than 20 Hz) at seizure onset, whereas energy drops at higher scales. Other channels, however, exhibit energy increase at high scales (frequency less than 15 Hz) revealing a predominance of low-frequency activity. These two patterns may be simultaneously present at seizure onset and may change with different spatial evolution during the subsequent seizure progression. Wavelet analysis appears as a powerful tool for extracting features relative to seizure, and to study their propagation among different regions in the scalp.

Original languageEnglish
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Pages255-258
Number of pages4
Volume26 I
Publication statusPublished - 2004
EventConference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States
Duration: Sep 1 2004Sep 5 2004

Other

OtherConference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004
CountryUnited States
CitySan Francisco, CA
Period9/1/049/5/04

Fingerprint

Electroencephalography
Multiresolution analysis
Wavelet decomposition
Relocation
Wavelet analysis

Keywords

  • EEG
  • Epilepsy
  • Seizure
  • Wavelet

ASJC Scopus subject areas

  • Bioengineering

Cite this

Ursino, M., Magosso, E., Gardella, E., Rubboli, G., & Tassinari, C. A. (2004). A wavelet based analysis of energy redistribution in scalp EEG during epileptic seizures. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (Vol. 26 I, pp. 255-258)

A wavelet based analysis of energy redistribution in scalp EEG during epileptic seizures. / Ursino, M.; Magosso, E.; Gardella, E.; Rubboli, G.; Tassinari, C. A.

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 26 I 2004. p. 255-258.

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

Ursino, M, Magosso, E, Gardella, E, Rubboli, G & Tassinari, CA 2004, A wavelet based analysis of energy redistribution in scalp EEG during epileptic seizures. in Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. vol. 26 I, pp. 255-258, Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004, San Francisco, CA, United States, 9/1/04.
Ursino M, Magosso E, Gardella E, Rubboli G, Tassinari CA. A wavelet based analysis of energy redistribution in scalp EEG during epileptic seizures. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 26 I. 2004. p. 255-258
Ursino, M. ; Magosso, E. ; Gardella, E. ; Rubboli, G. ; Tassinari, C. A. / A wavelet based analysis of energy redistribution in scalp EEG during epileptic seizures. Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 26 I 2004. pp. 255-258
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