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Improved estimation of EEG evoked potentials by jitter compensation and enhancing spatial filters

Antoine Souloumiac 1 Bertrand Rivet 2
1 LADIS - Laboratoire d'analyse des données et d'intelligence des systèmes
DM2I - Département Métrologie Instrumentation & Information : DRT/LIST/DM2I
2 GIPSA-VIBS - GIPSA - Vision and Brain Signal Processing
GIPSA-DIS - Département Images et Signal
Abstract : We propose in this paper a new technique to investigate the Event-Related Potentials, or Evoked-Response Potentials, in the electroencephalographic signal. The multidimensional electroencephalographic signal is first spatially filtered to enhance the Evoked-Response Potentials using the xDAWN algorithm and, second, the single trial latencies (whatever their origins: physiological or electronical) are estimated by maximizing a cross correlation without any a priori model. The performance of this approach is illustrated on two classical P300-Speller electroencephalographic databases (BCI Competition II and III). The single-trial distribution of P300 Evoked-Response Potential is deblurred using the proposed resynchronization algorithm for applications in particular to Brain Computer Interfaces.
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https://hal-cea.archives-ouvertes.fr/cea-01830773
Contributor : Léna Le Roy <>
Submitted on : Thursday, July 5, 2018 - 1:12:54 PM
Last modification on : Wednesday, October 14, 2020 - 3:51:32 AM

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Antoine Souloumiac, Bertrand Rivet. Improved estimation of EEG evoked potentials by jitter compensation and enhancing spatial filters. 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, May 2013, Vancouver, BC, Canada. pp.1222-1226, ⟨10.1109/ICASSP.2013.6637845⟩. ⟨cea-01830773⟩

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