Extraction of Deep Brain Stimulation (DBS) source in SEEG using EMD and ICA - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2011

Extraction of Deep Brain Stimulation (DBS) source in SEEG using EMD and ICA

Résumé

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.
Fichier non déposé

Dates et versions

hal-00605571 , version 1 (02-07-2011)

Identifiants

  • HAL Id : hal-00605571 , version 1

Citer

Janis Hofmanis, Ricardo-Antonio Salido-Ruiz, Olivier Caspary, Radu Ranta, Valérie Louis-Dorr. Extraction of Deep Brain Stimulation (DBS) source in SEEG using EMD and ICA. 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC '11, Aug 2011, Boston, United States. pp.CDROM. ⟨hal-00605571⟩
64 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More