title: Extraction of deep brain stimulation (DBS) source in SEEG using EMD and ICA.
abstract: In the context of drug resistant partial epilepsy, intra-cerebral electrical stimulation (Deep Brain Stimulation) constitutes one of the means of investigation to locate epileptic volume. This exogenous source can then activate the underlying epileptic networks and generate an electrophysiological reaction. The purpose of this work is to estimate and eliminate the overlapping electrical stimulation signal in order to subsequently explore the provoked underlying electrical activity. We propose here several methods to tackle this problem, using two different approaches based on different assumptions: BSS approach based on Independent Component Analysis (ICA) and non parametric decomposition - empirical modes decomposition (EMD) algorithms.
authors.affiliation: Centre de Recherche en Automatique de Nancy,Nancy-Université, CNRS. janis.hofmanis@ensem.inpl-nancy.fr
authors.forename: Janis
authors.initials: J
authors.lastname: Hofmanis
authors.forename: Ricardo A Salido
authors.initials: RA
authors.lastname: Ruiz
authors.forename: Olivier
authors.initials: O
authors.lastname: Caspary
authors.forename: Radu
authors.initials: R
authors.lastname: Ranta
authors.forename: Valérie
authors.initials: V
authors.lastname: Louis-Dorr
mesh_terms: D000465:Algorithms; D016477:Artifacts; D046690:Deep Brain Stimulation / Q000379:methods*; D004569:Electroencephalography / Q000379:methods*; D004827:Epilepsy / Q000175:diagnosis* / Q000503:physiopathology / Q000517:prevention & control*; D006801:Humans; D025341:Principal Component Analysis