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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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Submitted on : Thursday, July 5, 2018 - 1:12:54 PM
Last modification on : Friday, October 22, 2021 - 4:42:08 AM

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Antoine Souloumiac, Bertrand Rivet. Improved estimation of EEG evoked potentials by jitter compensation and enhancing spatial filters. ICASSP 2013 - 38th IEEE International Conference on Acoustics, Speech and Signal Processing, May 2013, Vancouver, Canada. pp.1222-1226, ⟨10.1109/ICASSP.2013.6637845⟩. ⟨cea-01830773⟩

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