Estimation of individual evoked potential by wavelet transform

Moncef Benkherrat (1) , Franck Vidal (2) , Thierry Hasbroucq (2) , Boris Burle (2)

1 EPMI-ECAM GROUP
2 LNC - Laboratoire de Neurosciences Cognitives [Marseille]

A new method to improve the signal-to-noise ratio of single evoked potentials (EP) measurements is presented, in which, contrary to previous methods, no a priori assumptions on the signal are necessary. This method is based on the wavelets decomposition of the individual signals. A statistical thresholding is applied on the coefficients of the decomposition: we estimate whether the mean value of the coefficients across trials and for each time point is significantly different from a random estimate. The performance of the method is evaluated with simulation and the method is applied to real data

Mots clés: Neuronal models; Cognitive Science

Domaines: Neurosciences [q-bio.NC]; Neurosciences

Moncef Benkherrat, Franck Vidal, Thierry Hasbroucq, Boris Burle. Estimation of individual evoked potential by wavelet transform. Deuxième conférence française de Neurosciences Computationnelles, "Neurocomp08", Oct 2008, Marseille, France. ⟨hal-00331610⟩