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Wavelet entropy in event-related potentials: a new method shows ordering of EEG oscillations. (English) Zbl 1161.92325
Summary: We show the application of a measure of entropy defined from the wavelet transform, namely the wavelet entropy (WS), to the study of event-related potentials (ERPs). The WS was computed for ERPs recorded from nine healthy subjects with three different types of stimuli, among them target stimuli in a cognitive task. A significant decrease of entropy was correlated with the responses to target stimuli (P300), thus showing that these responses correspond to a more “ordered” state than the spontaneous EEG. Furthermore, we propose the WS as a quantitative measure for such transitions between EEG (“disordered state”) and ERP (“ordered state”).

MSC:
92C20 Neural biology
92C55 Biomedical imaging and signal processing
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