title: Robust single-trial ERP estimation based on spatiotemporal filtering.
abstract: Most spatiotemporal filtering methods for the problem of single-trial event-related potentials (ERP) estimation relies on the analysis of the second-order statistics (SOS) of electroencephalograph (EEG) data. Due to the noisy nature of EEG, these methods often suffer from the outliers in EEG. We combine a recently proposed spatiotemporal filtering method with the maximum correntropy criterion (MCC) for the single-trial estimation of the ERP amplitude. Study with real cognitive ERP data shows the robustness of the method with reduced estimation variance.
authors.affiliation: Computational NeuroEngineering Lab, Electrical and Computer Engineering Department, University of Florida, Gainesville, FL 32611, USA. ruijiang@cnel.ufl.edu
authors.forename: Ruijiang
authors.initials: R
authors.lastname: Li
authors.forename: Jose C
authors.initials: JC
authors.lastname: Principe
authors.forename: Margaret
authors.initials: M
authors.lastname: Bradley
authors.forename: Vera
authors.initials: V
authors.lastname: Ferrari
mesh_terms: D000465:Algorithms; D001931:Brain Mapping / Q000379:methods*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004569:Electroencephalography / Q000379:methods*; D005074:Evoked Potentials, Visual / Q000502:physiology*; D006801:Humans; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D014793:Visual Cortex / Q000502:physiology*