title: EKG artifacts suppression from the EEG.
abstract: A method is proposed to identify and eliminate EKG artifacts from a single channel of EEG recordings. The method identifies the EKG as outlying data in the EEG. The algorithm may be applied universally to all EEG recordings.
authors.affiliation: Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle 98195.
authors.forename: L H
authors.initials: LH
authors.lastname: Larsen
authors.forename: P N
authors.initials: PN
authors.lastname: Prinz
mesh_terms: D000465:Algorithms; D001921:Brain / Q000502:physiology; D004562:Electrocardiography / Q000706:statistics & numerical data*; D004569:Electroencephalography / Q000706:statistics & numerical data*; D005583:Fourier Analysis; D006801:Humans; D013997:Time Factors