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On the methodological unification in electroencephalography

BACKGROUND: This paper presents results of a pursuit of a repeatable and objective methodology of analysis of the electroencephalographic (EEG) time series. METHODS: Adaptive time-frequency approximations of EEG are discussed in the light of the available experimental and theoretical evidence, and a...

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Detalles Bibliográficos
Autor principal: Durka, Piotr J
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1160515/
https://www.ncbi.nlm.nih.gov/pubmed/15748284
http://dx.doi.org/10.1186/1475-925X-4-15
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author Durka, Piotr J
author_facet Durka, Piotr J
author_sort Durka, Piotr J
collection PubMed
description BACKGROUND: This paper presents results of a pursuit of a repeatable and objective methodology of analysis of the electroencephalographic (EEG) time series. METHODS: Adaptive time-frequency approximations of EEG are discussed in the light of the available experimental and theoretical evidence, and applicability in various experimental and clinical setups. RESULTS: Four lemmas and three conjectures support the following conclusion. CONCLUSION: Adaptive time-frequency approximations of signals unify most of the univariate computational approaches to EEG analysis, and offer compatibility with its traditional (visual) analysis, used in clinical applications.
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spelling pubmed-11605152005-06-28 On the methodological unification in electroencephalography Durka, Piotr J Biomed Eng Online Review BACKGROUND: This paper presents results of a pursuit of a repeatable and objective methodology of analysis of the electroencephalographic (EEG) time series. METHODS: Adaptive time-frequency approximations of EEG are discussed in the light of the available experimental and theoretical evidence, and applicability in various experimental and clinical setups. RESULTS: Four lemmas and three conjectures support the following conclusion. CONCLUSION: Adaptive time-frequency approximations of signals unify most of the univariate computational approaches to EEG analysis, and offer compatibility with its traditional (visual) analysis, used in clinical applications. BioMed Central 2005-03-04 /pmc/articles/PMC1160515/ /pubmed/15748284 http://dx.doi.org/10.1186/1475-925X-4-15 Text en Copyright © 2005 Durka; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Durka, Piotr J
On the methodological unification in electroencephalography
title On the methodological unification in electroencephalography
title_full On the methodological unification in electroencephalography
title_fullStr On the methodological unification in electroencephalography
title_full_unstemmed On the methodological unification in electroencephalography
title_short On the methodological unification in electroencephalography
title_sort on the methodological unification in electroencephalography
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1160515/
https://www.ncbi.nlm.nih.gov/pubmed/15748284
http://dx.doi.org/10.1186/1475-925X-4-15
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