Paper Info
Title
Wavelet analysis of generalized tonic-clonic epileptic seizures
Abstract
The analysis of generalized tonic-clonic seizures is usually difficult with quantitative EEG techniques due to muscle artifact. We applied two quantifiers based on the Wavelet Transform to evaluate 20 seizures from eight consecutive patients admitted for video-EEG monitoring. We studied the relative wavelet energy and the wavelet entropy over time. In 16/20 events we found significant decremental activity in the relative wavelet energy associated with frequency band 0.8-3.2 Hz (delta activity) at the seizure onset, indicating that the seizure is dominated by medium frequency bands 3.2-12.8 Hz (theta and alpha bands). In 19/20 events the mean wavelet entropy presents lower values during the ictal period compared to the preictal period, indicating that the associated dynamic is more ordered and simple. Thus the employed tools show good accuracy for detecting changes in the system dynamic. We conclude that this behavior could be induced by frequency tuning in the neuronal activity triggered by an hypothetic epileptic focus.
Year
DOI
Venue
2003
10.1016/S0165-1684(03)00054-9
Signal Processing
Keywords
Field
DocType
frequency band,mean wavelet entropy,relative wavelet energy,delta activity,medium frequency band,generalized tonic-clonic epileptic seizure,neuronal activity,generalized tonic-clonic seizure,associated dynamic,wavelet analysis,significant decremental activity,wavelet entropy,medium frequency,eeg,system dynamics,wavelet,wavelet transform
Tonic (music),Premovement neuronal activity,Control theory,Artificial intelligence,Medium frequency,Electroencephalography,Wavelet transform,Wavelet,Pattern recognition,Frequency band,Speech recognition,Ictal,Mathematics
Journal
Volume
Issue
ISSN
83
6
Signal Processing
Citations 
PageRank 
References 
17
3.44
1
Authors
3
Name
Order
Citations
PageRank
Osvaldo A. Rosso15813.07
Susana Blanco2173.44
Adrian Rabinowicz3173.44