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Using recurrence quantification analysis determinism for noise removal in cardiac optical mapping.

Michael D Furman·Jennifer D Simonotto·Thomas M Beaver·Mark L Spano·William L Ditto
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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.

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AlgorithmsAnimalsBody Surface Potential MappingComputer SimulationHeart Conduction SystemImage EnhancementIn Vitro TechniquesMicroscopy, FluorescenceModels, CardiovascularModels, StatisticalStochastic ProcessesSwineJournal ArticleResearch Support, U.S. Gov't, Non-P.H.S.

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Michael D Furman, Jennifer D Simonotto, Thomas M Beaver, Mark L Spano, William L Ditto. 2006. Using recurrence quantification analysis determinism for noise removal in cardiac optical mapping.. https://doi.org/10.1109/tbme.2006.870195

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