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Inverse Problem Applied to BCI's : Keeping Track of the EEG's Brain Dynamics Using Kalman Filtering

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Lehembre, Rémy [UCL] Noirhomme, Quentin [UCL] Macq, Benoît [UCL]

In this paper, we use Kalman filtering to improve inverse solutions for BCI applications. The algorithm is tested on EEG data from the BCI 2003 competition. The aim of this work is to improve the spatial resolution of the EEGs using the inverse model and take profit of their excellent time resolution with the Kalman filter. Preliminary results show a 4% improvement with our additionnal Kalman filtering

Document type Communication à un colloque (Conference Paper) – Présentation orale avec comité de sélection
Publication date 2006
Language Anglais
Conference "Proceedings of the 3rd Internationnal Brain Computer Interface Workshop and Training Course 2006", Graz University of Technology, Austria (du 21/09/2006 au 24/09/2006)
Peer reviewed yes
Affiliation UCL - FSA/ELEC - Département d'électricité
Keywords EEG BCI Kalman Inverse Problem
Links
Bibliographic reference Lehembre, Rémy ; Noirhomme, Quentin ; Macq, Benoît. Inverse Problem Applied to BCI's : Keeping Track of the EEG's Brain Dynamics Using Kalman Filtering.Proceedings of the 3rd Internationnal Brain Computer Interface Workshop and Training Course 2006 (Graz University of Technology, Austria, du 21/09/2006 au 24/09/2006).
Permanent URL http://hdl.handle.net/2078.1/91103