title: A robust parametric estimator for single-trial movement related brain potentials.
abstract: Current estimators for single-trial evoked potentials (EP's) require a signal-to-noise ratio (SNR) of 0 dB or better to obtain high quality estimations, yet many types of EP's suffer from substantially lower SNR's. This paper presents a robust-evoked-potential-estimator (REPE) facilitating high quality estimations of single movement related EP's with a relatively low SNR. The estimator is based on a standard ARX model, enhanced to support estimation under poor SNR conditions. The REPE was tested successfully on a computer simulated data set giving reliable single-trial estimations for the low SNR range of around -20 dB. THe REPE was also applied to experimental data, producing clear single-trial estimations of movement related brain signals recorded in a classic scenario of self-paced finger tapping experiment.
authors.affiliation: Electrical Engineering Department, Technion-Israel Institute of Technology, Haifa. lange@tx.technion.ac.il
authors.forename: D H
authors.initials: DH
authors.lastname: Lange
authors.forename: G F
authors.initials: GF
authors.lastname: Inbar
mesh_terms: D000465:Algorithms; D016477:Artifacts; D001921:Brain / Q000502:physiology*; D004569:Electroencephalography / Q000379:methods / Q000706:statistics & numerical data; D005071:Evoked Potentials / Q000502:physiology; D005385:Fingers; D006801:Humans; D008959:Models, Neurological; D009068:Movement; D012815:Signal Processing, Computer-Assisted