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On the electrophysiology of the atrial fast conduction system:an uncertain quantification study

Acta Mechanica Sinica 2021年第2期37卷 264-278页

作者： Giulio Del Corso Roberto Verzicco Francesco Viola GSSI(Gran Sasso Science Institute) L'AquilaItaly University of Roma Tor Vergata RomeItaly POF Group University of TwenteEnschedeThe Netherlands

Cardiac modeling entails the epistemic uncertainty of the input parameters,such as bundles and chambers geometry,electrical conductivities and cell parameters,thus calling for an uncertainty quantification(UQ)*** the cardiac activation and the subsequent muscular contraction is provided by a complex electrophysiology system made of interconnected conductive media,we focus here on the fast conductivity structures of the atria(internodal pathways)with the aim of identifying which of the uncertain inputs mostly influence the propagation of the depolarization ***,the distributions of the input parameters are calibrated using data available from the literature taking into account gender *** output quantities of interest(Qols)of medical relevance are defined and a set of metamodels(one for each Qol)is then trained according to a polynomial chaos expansion(PCE)in order to run a global sensitivity analysis with non-linear variance-based SoboF indices with confidence intervals evaluated through the bootstrap *** most sensitive parameters on each Qol are then identified for both genders showing the same order of importance of the model inputs on the electrical ***,the probability distributions of the Qols are obtained through a forward sensitivity analysis using the same trained *** results that several input parameters-including the position of the internodal pathways and the electrical impulse applied at the sinoatrial node一have a little influence on the Qols ***-versa the electrical activation of the atrial fast conduction system is sensitive on the bundles geometry and electrical conductivities that need to be carefully measured or calibrated in order for the electrophysiology model to be accurate and predictive.

关键词： Uncertainty quantification Global sensitivity analysis Forward analysis Atrial modelling Electrophysiology monodomain model

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