Wavelet entropy in event-related potentials: A new method shows ordering of EEG oscillations

In this work 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). WS was computed for ERPs recorded from nine healthy subjects with three different types of stimuli, among them target sti...

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Detalles Bibliográficos
Autores principales: Quian Quiroga, R., Rosso, O.A., Başar, E., Schürmann, M.
Formato: JOUR
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_03401200_v84_n4_p291_QuianQuiroga
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Sumario:In this work 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). 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").