Browsing Institutt for informatikk by Author "Wall, Samuel Thomas"

Now showing items 1-5 of 5

  • A cell-based framework for modeling cardiac mechanics 
    Telle, Åshild; Trotter, James David; Cai, Xing; Finsberg, Henrik Nicolay Topnes; Kuchta, Miroslav; Sundnes, Joakim; Wall, Samuel Thomas (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2023)
    Abstract Cardiomyocytes are the functional building blocks of the heart—yet most models developed to simulate cardiac mechanics do not represent the individual cells and their surrounding matrix. Instead, they work on a ...
  • Arrhythmogenic Current Generation by Myofilament-Triggered Ca2+ Release and Sarcomere Heterogeneity 
    Timmermann, Viviane; Edwards, Andrew; Wall, Samuel Thomas; Sundnes, Joakim; McCulloch, Andrew D. (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
    Heterogeneous mechanical dyskinesis has been implicated in many arrhythmogenic phenotypes. Strain-dependent perturbations to cardiomyocyte electrophysiology may contribute to this arrhythmogenesis through processes referred ...
  • Detecting undetectables: Can conductances of action potential models be changed without appreciable change in the transmembrane potential? 
    Jæger, Karoline Horgmo; Wall, Samuel Thomas; Tveito, Aslak (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
    Mathematical models describing the dynamics of the cardiac action potential are of great value for understanding how changes to the system can disrupt the normal electrical activity of cells and tissue in the heart. However, ...
  • Estimating cardiac contraction through high resolution data assimilation of a personalized mechanical model 
    Finsberg, Henrik Nicolay; Balaban, Gabriel; Ross, Stian Balnagown; Håland, Trine Synnøve Fink; Odland, Hans Henrik; Sundnes, Joakim; Wall, Samuel Thomas (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2017)
    Cardiac computational models, individually personalized, can provide clinicians with useful diagnosticinformation and aid in treatment planning. A major bottleneck in this process can be determining modelparameters to fit ...
  • High-resolution data assimilation of cardiac mechanics applied to a dyssynchronous ventricle 
    Balaban, Gabriel; Finsberg, Henrik Nicolay; Odland, Hans Henrik; Rognes, Marie Elisabeth; Ross, Stian Balnagown; Sundnes, Joakim; Wall, Samuel Thomas (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2017)
    Computational models of cardiac mechanics, personalized to a patient, offer access to mechanical information above and beyond direct medical imaging. Additionally, such models can be used to optimize and plan therapies ...