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Poster Communications Year : 2023

Effectiveness of cross-frequency phase-amplitude covariance as additional features for Riemannian BCIs

Abstract

Riemannian geometry has been shown to significantly improve BCI classification performance. However, BCIs are still not reliable enough. To further improve Riemannian BCIs, it is thus worth exploring complementary features to the conventional Riemannian feature, i.e., spatial covariance matrix. In this work, we propose to combine the phase and amplitude covariance (PAC) of cross-frequency bands (FBs) as such an additional feature, inspired by phase-amplitude coupling.
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Dates and versions

hal-04181391 , version 1 (15-08-2023)

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Maria Sayu Yamamoto, Sylvain Chevallier, Fabien Lotte. Effectiveness of cross-frequency phase-amplitude covariance as additional features for Riemannian BCIs. BCI 2023 - 10th International BCI Meeting Balancing Innovation and Translation, Jun 2023, Brussels, Belgium. ⟨10.3217/978-3-85125-962-9-179⟩. ⟨hal-04181391⟩
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