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Article Dans Une Revue System Theory, Control and Computing Journal Année : 2023

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

Résumé

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

Dates et versions

hal-04196949 , version 1 (05-09-2023)

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Citer

Mariana Mulinari Pinheiro Machado, Alina Voda, Gildas Besançon, Guillaume Becq, Philippe Kahane, et al.. Transfer function approaches for SEEG brain electrode interface applied to tissue classification. System Theory, Control and Computing Journal, 2023, 3 (1), pp.20-28. ⟨10.52846/stccj.2023.3.1.46⟩. ⟨hal-04196949⟩
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