title: Using recurrence quantification analysis determinism for noise removal in cardiac optical mapping.
abstract: Selecting signal processing parameters in optical imaging by utilizing the change in Determinism, a measure introduced in Recurrence Quantification Analysis, provides a novel method using the change in residual noise Determinism for improving noise quantification and removal across signals exhibiting disparate underlying tissue pathologies. The method illustrates an improved process for selecting filtering parameters and how using measured signal-to-noise ratio alone can lead to improper parameter selection.
authors.affiliation: Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611-6161, USA. mfurman@bme.ufl.edu
authors.forename: Michael D
authors.initials: MD
authors.lastname: Furman
authors.forename: Jennifer D
authors.initials: JD
authors.lastname: Simonotto
authors.forename: Thomas M
authors.initials: TM
authors.lastname: Beaver
authors.forename: Mark L
authors.initials: ML
authors.lastname: Spano
authors.forename: William L
authors.initials: WL
authors.lastname: Ditto
mesh_terms: D000465:Algorithms; D000818:Animals; D018780:Body Surface Potential Mapping / Q000379:methods*; D003198:Computer Simulation; D006329:Heart Conduction System / Q000166:cytology* / Q000502:physiology*; D007089:Image Enhancement / Q000379:methods*; D066298:In Vitro Techniques; D008856:Microscopy, Fluorescence / Q000379:methods*; D008955:Models, Cardiovascular; D015233:Models, Statistical; D013269:Stochastic Processes; D013552:Swine