title: Correlation algorithm and sampling techniques for estimating the signal-to-noise ratio of the electrocardiogram.
abstract: An algorithm, based on correlation techniques, is proposed for estimating the signal-to-noise ratio of very low frequency signals contaminated by white and flicker noise. Sampling techniques based on converting a single continuous signal into two time series that satisfy the requirements of cross-correlation functions are proposed. The algorithm has been tested on simulated data and the electrocardiogram transduced from ten patients.
authors.affiliation: Department of Electrical Engineering, Technical University of Nova Scotia, Canada.
authors.forename: C
authors.initials: C
authors.lastname: Charayaphan
authors.forename: A E
authors.initials: AE
authors.lastname: Marble
authors.forename: S T
authors.initials: ST
authors.lastname: Nugent
authors.forename: D
authors.initials: D
authors.lastname: Swingler
mesh_terms: D000465:Algorithms; D004562:Electrocardiography / Q000379:methods* / Q000592:standards; D006801:Humans; D008433:Mathematics; D008954:Models, Biological