title: Parametric method for the detection of inter- and intrasweep variability in VEP processing.
abstract: The paper introduces a Kalman filter procedure for the processing of single-sweep visual evoked potentials (VEPs). The identification of the filter coefficients is based on a model of signal and noise interaction which considers the generating process as the superposition of the true evoked response to an AR process (the background EEG) and a broader spectrum noise. Intersweep variability is thus evident on the filtered response and a functional parameter of the filter (VP(t), namely variability path) is proposed for the automatic determination of the latencies associated with the main peaks of the response. Finally, the time-variant algorithm allows the quantification of the intrasweep variability for possible interpretation of the physiological mechanism involved.
authors.affiliation: Centro Teoria dei Sistemi del CNR, Dipartimento di Elettronica del Politecnico di Milano, Italy.
authors.forename: D
authors.initials: D
authors.lastname: Liberati
authors.forename: L
authors.initials: L
authors.lastname: Bertolini
authors.forename: D C
authors.initials: DC
authors.lastname: Colombo
mesh_terms: D000328:Adult; D000465:Algorithms; D004569:Electroencephalography; D005074:Evoked Potentials, Visual; D005374:Filtration; D006801:Humans