Wavelet Approach to the Study of Rhythmic Neuronal Activity

This chapter considers the main definitions and principles of electroencephalography that are needed to get a good grasp of Chaps. 6 and 7. We describe the general physical and mathematical approaches to time–frequency analysis of rhythmic EEG activity using the continuous wavelet transform. Besides that, we review some recent achievements of wavelet-based studies of electrical brain activity, including (i) time–frequency analysis of EEG structure, (ii) automatic detection of oscillatory patterns in pre-recorded EEG, (iii) classification of oscillatory patterns, (iv) real-time detection of oscillatory patterns in EEG, (v) detection of synchronous states of electrical brain activity, (vi) artifact suppression/rejection in multichannel EEG, (vii) the study of cognitive processes.

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