On the methodological unification in electroencephalography.

Piotr J Durka

doi:10.1186/1475-925x-4-15

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On the methodological unification in electroencephalography.

Piotr J Durka

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Abstract

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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Action Potentials Algorithms Animals Biological Clocks Brain Computer Simulation Diagnosis, Computer-Assisted Electroencephalography Humans Models, Neurological Journal Article Research Support, Non-U.S. Gov't

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Piotr J Durka. 2005-03-04. On the methodological unification in electroencephalography.. https://doi.org/10.1186/1475-925x-4-15

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