Time-frequency analysis of electroencephalogram series. III. Wavelet packets and information cost function

Signals obtained during tonic-clonic epileptic seizures are usually neglected for analysis by the physicians due to the presence of noise caused by muscle contractions. Although noise obscures completely the recording, some information about the underlying brain activity can be obtained with wavelet...

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Autores principales: Blanco, S., Figliola, A., Quiroga, R.Q., Rosso, O.A., Serrano, E.
Formato: JOUR
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_1063651X_v57_n1_p932_Blanco
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spelling todo:paper_1063651X_v57_n1_p932_Blanco2023-10-03T16:01:20Z Time-frequency analysis of electroencephalogram series. III. Wavelet packets and information cost function Blanco, S. Figliola, A. Quiroga, R.Q. Rosso, O.A. Serrano, E. Signals obtained during tonic-clonic epileptic seizures are usually neglected for analysis by the physicians due to the presence of noise caused by muscle contractions. Although noise obscures completely the recording, some information about the underlying brain activity can be obtained with wavelet transform by filtering those frequencies associated with muscle activity. One great advantage of this method over traditional filtering is that the filtered frequencies do not modify the pattern of the remanent ones. An accurate analysis of the different seizure stages was achieved using the wavelet packet method, and through the information cost function the brain dynamical behavior can be accessed. © 1998 The American Physical Society. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_1063651X_v57_n1_p932_Blanco
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
description Signals obtained during tonic-clonic epileptic seizures are usually neglected for analysis by the physicians due to the presence of noise caused by muscle contractions. Although noise obscures completely the recording, some information about the underlying brain activity can be obtained with wavelet transform by filtering those frequencies associated with muscle activity. One great advantage of this method over traditional filtering is that the filtered frequencies do not modify the pattern of the remanent ones. An accurate analysis of the different seizure stages was achieved using the wavelet packet method, and through the information cost function the brain dynamical behavior can be accessed. © 1998 The American Physical Society.
format JOUR
author Blanco, S.
Figliola, A.
Quiroga, R.Q.
Rosso, O.A.
Serrano, E.
spellingShingle Blanco, S.
Figliola, A.
Quiroga, R.Q.
Rosso, O.A.
Serrano, E.
Time-frequency analysis of electroencephalogram series. III. Wavelet packets and information cost function
author_facet Blanco, S.
Figliola, A.
Quiroga, R.Q.
Rosso, O.A.
Serrano, E.
author_sort Blanco, S.
title Time-frequency analysis of electroencephalogram series. III. Wavelet packets and information cost function
title_short Time-frequency analysis of electroencephalogram series. III. Wavelet packets and information cost function
title_full Time-frequency analysis of electroencephalogram series. III. Wavelet packets and information cost function
title_fullStr Time-frequency analysis of electroencephalogram series. III. Wavelet packets and information cost function
title_full_unstemmed Time-frequency analysis of electroencephalogram series. III. Wavelet packets and information cost function
title_sort time-frequency analysis of electroencephalogram series. iii. wavelet packets and information cost function
url http://hdl.handle.net/20.500.12110/paper_1063651X_v57_n1_p932_Blanco
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