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On the methodological unification in electroencephalography

Piotr J Durka email

Institute of Experimental Physics, Warsaw University, ul. Hoża 69 00-681 Warszawa, Poland

author email corresponding author email

BioMedical Engineering OnLine 2005, 4:15doi:10.1186/1475-925X-4-15

Published: 4 March 2005

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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