An Automatic Riemannian Artifact Rejection Method for P300-based BCIs - Équipe CoPhy : Computation, Cognition et Neurophysiologie du CRNL Access content directly
Conference Papers Year : 2024

An Automatic Riemannian Artifact Rejection Method for P300-based BCIs

Abstract

This paper presents a completely automatic artifact rejection method for electroencephalographic data based on Riemannian geometry. The proposed method is tested on two P300-based brain-computer interface databases and is shown to allow superior accuracy and information transfer rate as compared to two state-of-the-art methods.
Fichier principal
Vignette du fichier
20240620101042_466280_1913.pdf (1.05 Mo) Télécharger le fichier
Origin Explicit agreement for this submission

Dates and versions

hal-04645211 , version 1 (11-07-2024)

Identifiers

  • HAL Id : hal-04645211 , version 1

Cite

Davoud Hajhassani, Jérémie Mattout, Marco Congedo. An Automatic Riemannian Artifact Rejection Method for P300-based BCIs. European signal processing conference 2024, Aug 2024, Lyon, France. ⟨hal-04645211⟩
0 View
0 Download

Share

Gmail Mastodon Facebook X LinkedIn More