Time-Frequency Analysis of Brain Electrical Activity – Adaptive Approximations

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

• References

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