Abstract.
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”).
Similar content being viewed by others
Author information
Authors and Affiliations
Additional information
Received: 12 April 2000 / Accepted in revised form: 11 September 2000
Rights and permissions
About this article
Cite this article
Quian Quiroga, R., Rosso, O., Başar, E. et al. Wavelet entropy in event-related potentials: a new method shows ordering of EEG oscillations. Biol Cybern 84, 291–299 (2001). https://doi.org/10.1007/s004220000212
Issue Date:
DOI: https://doi.org/10.1007/s004220000212