Reconstructing ventricular cardiomyocyte dynamics and parameter estimation using data assimilation.

ABSTRACT: Cardiac ventricular myocyte action potential dynamics are regulated by intricate and nonlinear interactions between the cell transmembrane potential and ionic currents and concentrations. Present technology limits the ability to measure transmembrane potential and multiple ionic currents simultaneously, which narrows the scope of experiments to provide a complete snapshot of the cardiac myocyte state. This limitation presents an obstacle for understanding how perturbations can trigger arrhythmias and more broadly how the myocyte responds to different conditions, such as changes in pacing rate or responses to drug treatment. In this study, we demonstrate that a data-assimilation approach can successfully reconstruct and predict the dynamics of a heterogeneous virtual cardiac ventricular myo

SUBMITTER: Mendez MJ 

PROVIDER: S-EPMC11628846 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature