Single-trial topographic analysis of human EEG: A new `image' of event-related potentials

Détails

ID Serval
serval:BIB_8036A0082802
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Collection
Publications
Institution
Titre
Single-trial topographic analysis of human EEG: A new `image' of event-related potentials
Titre de la conférence
2007 6th International Special Topic Conference on Information Technology Applications in Biomedicine
Auteur(s)
De Lucia Marzia, Michel Christoph M., Clarke Stephanie, Murray Micah M.
Editeur
IEEE
ISBN
9781424418671
Statut éditorial
Publié
Date de publication
11/2007
Langue
anglais
Résumé
We present a novel approach for analyzing single-trial electroencephalography (EEG) data, using topographic information. The method allows for visualizing event-related potentials using all the electrodes of recordings overcoming the problem of previous approaches that required electrode selection and waveforms filtering. We apply this method to EEG data from an auditory object recognition experiment that we have previously analyzed at an ERP level. Temporally structured periods were statistically identified wherein a given topography predominated without any prior information about the temporal behavior. In addition to providing novel methods for EEG analysis, the data indicate that ERPs are reliably observable at a single-trial level when examined topographically.
Création de la notice
22/01/2020 17:01
Dernière modification de la notice
20/01/2021 7:26
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