Time-Frequency Analysis of Brain Electrical Activity – Adaptive Approximations

K. J. Blinowska; P. J. Durka; J. Z ygierewicz

doi:10.1055/s-0038-1633838

Methods of Information in Medicine, Table of Contents

Methods Inf Med 2004; 43(01): 70-73
DOI: 10.1055/s-0038-1633838

Original Article

Schattauer GmbH

Time-Frequency Analysis of Brain Electrical Activity – Adaptive Approximations

Authors

K. J. Blinowska

¹Laboratory of Medical Physics, Warsaw University, Warsaw, Poland
P. J. Durka

¹Laboratory of Medical Physics, Warsaw University, Warsaw, Poland
J. Z ygierewicz

¹Laboratory of Medical Physics, Warsaw University, Warsaw, Poland

Abstract

Summary

Objectives: We present an approach to time-frequency analysis of bioelectrical signals.

Methods: The method relays on the decomposition of the signal into a set of waveforms that have good localization both in time and in frequency. The waveforms belong to a highly redundant set of functions – allowing for a very accurate description of signal components.

Results: Properties of the method are illustrated by simulations and applications to EEG.

Conclusion: The presented method delivers a common formalism suitable for describing both gross statistical properties of structures present in bioelectrical signals, as well as microstructure of chosen phenomena.

Keywords

Time-frequency representations - adaptive approximations - matching pursuit - non-stationary signals - EEG - LFP

Full Text

References

References
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