title: Segmented matched filtering of single event related evoked potentials.
abstract: A fast segmentation-based Matched Filtering (MF) technique of single trial Evoked Potentials (EP's) is presented. MF improves the Signal-to-Noise Ratio of single EP's, reducing the number of repetitions necessary to obtain high quality signals by an order of magnitude. A computer simulation and analysis of experimental data of Movement Related Potentials and cognitive Event Related Potentials demonstrate the superior capabilities of MF compared to traditional Ensemble Averaging.
authors.affiliation: Department of Electrical Engineering, Technion City, Haifa, Israel.
authors.forename: D H
authors.initials: DH
authors.lastname: Lange
authors.forename: H
authors.initials: H
authors.lastname: Pratt
authors.forename: G F
authors.initials: GF
authors.lastname: Inbar
mesh_terms: D000465:Algorithms; D004569:Electroencephalography; D005071:Evoked Potentials; D005583:Fourier Analysis; D006801:Humans; D008962:Models, Theoretical; D009068:Movement; D011930:Reaction Time; D012815:Signal Processing, Computer-Assisted