From wavelets to adaptive approximations: time-frequency parametrization of EEG View Full Text


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Article Info

DATE

2003-12

AUTHORS

Piotr J Durka

ABSTRACT

This paper presents a summary of time-frequency analysis of the electrical activity of the brain (EEG). It covers in details two major steps: introduction of wavelets and adaptive approximations. Presented studies include time-frequency solutions to several standard research and clinical problems, encountered in analysis of evoked potentials, sleep EEG, epileptic activities, ERD/ERS and pharmaco-EEG. Based upon these results we conclude that the matching pursuit algorithm provides a unified parametrization of EEG, applicable in a variety of experimental and clinical setups. This conclusion is followed by a brief discussion of the current state of the mathematical and algorithmical aspects of adaptive time-frequency approximations of signals. More... »

PAGES

1

References to SciGraph publications

  • 1995-09. Analysis of EEG transients by means of matching pursuit in ANNALS OF BIOMEDICAL ENGINEERING
  • 2001-05. Time-frequency microstructure of event-related electro-encephalogram desynchronisation and synchronisation in MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
  • 1932-12. Fourier-Analyse von Elektrencephalogrammen des Menschen in PFLÜGERS ARCHIV - EUROPEAN JOURNAL OF PHYSIOLOGY
  • 1996-12. Some remarks on greedy algorithms in ADVANCES IN COMPUTATIONAL MATHEMATICS
  • 1929-12. Über das Elektrenkephalogramm des Menschen in EUROPEAN ARCHIVES OF PSYCHIATRY AND CLINICAL NEUROSCIENCE
  • 1992-06. Single evoked potential reconstruction by means of wavelet transform in BIOLOGICAL CYBERNETICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/1475-925x-2-1

    DOI

    http://dx.doi.org/10.1186/1475-925x-2-1

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1011382152

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/12605721


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