Transfer function approaches for SEEG brain electrode interface applied to tissue classification

This paper is about transfer function approaches for brain-electrode interface modelling in the context of StereoElectroEncephaloGraphy, and their possible use tissue classification (between grey white matter). Monopolar bipolar configurations are first reviewed, giving rise to nonparametric parametric identification methods, as well related results (for identical tissues distinct at measurement points, respectively). A method combining both then proposed, so end up with a each point any case. The proposed methodology implemented clinical data collected from set epileptic patients, confirming its interest by providing more than 70% accuracy obtained results.