Time-frequency EEG analysis in epilepsy: What is more suitable?

M. Carlos Guerrero; Armando Malanda Trigueros; Jorge Iriarte Franco

doi:10.1109/ISSPIT.2005.1577096

Time-frequency EEG analysis in epilepsy: What is more suitable?

M. Carlos Guerrero^*, Armando Malanda Trigueros, Jorge Iriarte Franco

^*Autor corresponent d’aquest treball

Producció científica: Contribució a una conferència › Contribució › Avaluat per experts

7 Cites (Scopus)

Resum

Experimental results of the new techniques developed in the last decades for time-frequency analysis are presented in the epileptic EEG. The main goal of this paper is to give different characteristics in 33 time-frequency distributions (TFDs) in events like detection and epileptic seizures. Methods from Atomic Decompositions, Energy Distributions, Reduced Interference Distributions and Optimal Kernel Design have been tested, in addition to the Stockwell Transform and other approaches like Friedman's density and Ridge method. After the analysis of several EEG registers, we conclude that similar results can be obtained using different methods. Finally, the amount of TFDs computations was done for a patient.

Idioma original	Anglès
Pàgines	202-207
Nombre de pàgines	6
DOIs	https://doi.org/10.1109/ISSPIT.2005.1577096
Estat de la publicació	Publicada - 2005
Publicat externament	Sí
Esdeveniment	5th IEEE International Symposium on Signal Processing and Information Technology - Athens, Greece Durada: 18 de des. 2005 → 21 de des. 2005

Conferència

Conferència	5th IEEE International Symposium on Signal Processing and Information Technology
País/Territori	Greece
Ciutat	Athens
Període	18/12/05 → 21/12/05

Accés al document

10.1109/ISSPIT.2005.1577096

Altres arxius i enllaços

Link to publication in Scopus

Com citar-ho

@conference{08b627d1c5624a6f976ea7cd6ca1659c,

title = "Time-frequency EEG analysis in epilepsy: What is more suitable?",

abstract = "Experimental results of the new techniques developed in the last decades for time-frequency analysis are presented in the epileptic EEG. The main goal of this paper is to give different characteristics in 33 time-frequency distributions (TFDs) in events like detection and epileptic seizures. Methods from Atomic Decompositions, Energy Distributions, Reduced Interference Distributions and Optimal Kernel Design have been tested, in addition to the Stockwell Transform and other approaches like Friedman's density and Ridge method. After the analysis of several EEG registers, we conclude that similar results can be obtained using different methods. Finally, the amount of TFDs computations was done for a patient.",

keywords = "Detection, Epilepsy, Time-frequency distributions",

author = "{Carlos Guerrero}, M. and Trigueros, {Armando Malanda} and Franco, {Jorge Iriarte}",

year = "2005",

doi = "10.1109/ISSPIT.2005.1577096",

language = "English",

pages = "202--207",

note = "5th IEEE International Symposium on Signal Processing and Information Technology ; Conference date: 18-12-2005 Through 21-12-2005",

}

TY - CONF

T1 - Time-frequency EEG analysis in epilepsy

T2 - 5th IEEE International Symposium on Signal Processing and Information Technology

AU - Carlos Guerrero, M.

AU - Trigueros, Armando Malanda

AU - Franco, Jorge Iriarte

PY - 2005

Y1 - 2005

N2 - Experimental results of the new techniques developed in the last decades for time-frequency analysis are presented in the epileptic EEG. The main goal of this paper is to give different characteristics in 33 time-frequency distributions (TFDs) in events like detection and epileptic seizures. Methods from Atomic Decompositions, Energy Distributions, Reduced Interference Distributions and Optimal Kernel Design have been tested, in addition to the Stockwell Transform and other approaches like Friedman's density and Ridge method. After the analysis of several EEG registers, we conclude that similar results can be obtained using different methods. Finally, the amount of TFDs computations was done for a patient.

AB - Experimental results of the new techniques developed in the last decades for time-frequency analysis are presented in the epileptic EEG. The main goal of this paper is to give different characteristics in 33 time-frequency distributions (TFDs) in events like detection and epileptic seizures. Methods from Atomic Decompositions, Energy Distributions, Reduced Interference Distributions and Optimal Kernel Design have been tested, in addition to the Stockwell Transform and other approaches like Friedman's density and Ridge method. After the analysis of several EEG registers, we conclude that similar results can be obtained using different methods. Finally, the amount of TFDs computations was done for a patient.

KW - Detection

KW - Epilepsy

KW - Time-frequency distributions

UR - http://www.scopus.com/inward/record.url?scp=33846965945&partnerID=8YFLogxK

U2 - 10.1109/ISSPIT.2005.1577096

DO - 10.1109/ISSPIT.2005.1577096

M3 - Contribution

AN - SCOPUS:33846965945

SP - 202

EP - 207

Y2 - 18 December 2005 through 21 December 2005

ER -

Time-frequency EEG analysis in epilepsy: What is more suitable?

Resum

Conferència

Accés al document

Altres arxius i enllaços

Fingerprint

Com citar-ho