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
2 GIPSA-VIBS - GIPSA - Vision and Brain Signal Processing

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.

Keywords: Electroencephalographic signals; Cross correlations; Event related potentials; Evoked-response potentials; Bioelectric potentials; Physiological models; Jitter; Jitter compensation; Resynchronization; Single trial; Spatial filters; Algorithms; Brain computer interface; Electroencephalography; Electrophysiology

Domains: Signal and Image Processing; Databases [cs.DB]; Information Retrieval [cs.IR]; Methodology [stat.ME]; Neurons and Cognition [q-bio.NC]

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⟩