Wavelet analysis of generalized tonic-clonic epileptic seizures

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...

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Autores principales: Rosso, O.A., Blanco, S., Rabinowicz, A.
Formato: JOUR
Materias:
EEG
Epileptic seizures
Signal entropy
Wavelet
Electroencephalography
Entropy
Neurology
Wavelet transforms
Signal processing
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_01651684_v83_n6_p1275_Rosso
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_01651684_v83_n6_p1275_Rosso
record_format dspace
spelling todo:paper_01651684_v83_n6_p1275_Rosso2023-10-03T15:02:49Z Wavelet analysis of generalized tonic-clonic epileptic seizures Rosso, O.A. Blanco, S. Rabinowicz, A. EEG Epileptic seizures Signal entropy Wavelet Electroencephalography Entropy Neurology Wavelet transforms Epileptic seizures Signal processing 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 pre-ictal 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. © 2003 Elsevier Science B.V. All rights reserved. Fil:Blanco, S. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_01651684_v83_n6_p1275_Rosso
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic EEG
Epileptic seizures
Signal entropy
Wavelet
Electroencephalography
Entropy
Neurology
Wavelet transforms
Epileptic seizures
Signal processing
spellingShingle EEG
Epileptic seizures
Signal entropy
Wavelet
Electroencephalography
Entropy
Neurology
Wavelet transforms
Epileptic seizures
Signal processing
Rosso, O.A.
Blanco, S.
Rabinowicz, A.
Wavelet analysis of generalized tonic-clonic epileptic seizures
topic_facet EEG
Epileptic seizures
Signal entropy
Wavelet
Electroencephalography
Entropy
Neurology
Wavelet transforms
Epileptic seizures
Signal processing
description 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 pre-ictal 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. © 2003 Elsevier Science B.V. All rights reserved.
format JOUR
author Rosso, O.A.
Blanco, S.
Rabinowicz, A.
author_facet Rosso, O.A.
Blanco, S.
Rabinowicz, A.
author_sort Rosso, O.A.
title Wavelet analysis of generalized tonic-clonic epileptic seizures
title_short Wavelet analysis of generalized tonic-clonic epileptic seizures
title_full Wavelet analysis of generalized tonic-clonic epileptic seizures
title_fullStr Wavelet analysis of generalized tonic-clonic epileptic seizures
title_full_unstemmed Wavelet analysis of generalized tonic-clonic epileptic seizures
title_sort wavelet analysis of generalized tonic-clonic epileptic seizures
url http://hdl.handle.net/20.500.12110/paper_01651684_v83_n6_p1275_Rosso
work_keys_str_mv AT rossooa waveletanalysisofgeneralizedtonicclonicepilepticseizures
AT blancos waveletanalysisofgeneralizedtonicclonicepilepticseizures
AT rabinowicza waveletanalysisofgeneralizedtonicclonicepilepticseizures
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