Using recurrence quantification analysis determinism for noise removal in cardiac optical mapping.
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.
Furman
Michael D
MD
Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611-6161, USA. mfurman@bme.ufl.edu
Simonotto
Jennifer D
JD
Beaver
Thomas M
TM
Spano
Mark L
ML
Ditto
William L
WL
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