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MICCAI
2007
Springer

Combinatorial Optimization for Electrode Labeling of EEG Caps

9 years 11 months ago
Combinatorial Optimization for Electrode Labeling of EEG Caps
Abstract. An important issue in electroencephalographiy (EEG) experiments is to measure accurately the three dimensional (3D) positions of the electrodes. We propose a system where these positions are automatically estimated from several images using computer vision techniques. Yet, only a set of undifferentiated points are recovered this way and remains the problem of labeling them, i.e. of finding which electrode corresponds to each point. This paper proposes a fast and robust solution to this latter problem based on combinatorial optimization. We design a specific energy that we minimize with a modified version of the Loopy Belief Propagation algorithm. Experiments on real data show that, with our method, a manual labeling of two or three electrodes only is sufficient to get the complete labeling of a 64 electrodes cap in less than 10 seconds.
Jean-Michel Badier, Mickaël Péchaud, R
Added 14 Nov 2009
Updated 14 Nov 2009
Type Conference
Year 2007
Where MICCAI
Authors Jean-Michel Badier, Mickaël Péchaud, Renaud Keriven, Théodore Papadopoulo
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