A workflow containing differential equation models of cardiac physiology that automate the execution of simulations with user defined options of outputs from a single cell, 1 or 2-Dimensional tissue, and a pseudo-ECG output.
Study purpose: To develop a workflow containing differential equation models of cardiac physiology that automate the execution of simulations with user-defined options of outputs from a single cell, 1 or 2D tissue, and a pseudo-ECG output, which can be compared to experimental or clinical data.
Data collection: (a) Deployment of the workflow for a single-cell simulation to predict a cardiac action potential with a defined set of input parameters, (b) a configuration for a 1-dimensional cardiac tissue simulation, or (c) a 2-dimensional cardiac tissue simulation.
Primary conclusion: None drawn
Experimental Design: A workflow was tested for three different species (Human, Mouse, Rabbit) models and simulations to generate propagation of an action potential at a single point (in one dimension) and compute signal-averaged pseudo ECG traces.
Completeness: This dataset is part of a larger study: “A multi-scale model of cardiac electrophysiology”
Subjects & Samples: N/A (computational modeling dataset)
Primary vs. derivative data: N/A (computational modeling dataset)
Code Availability: This dataset is providing Human, Mouse, and Rabbit cardiac ventricular models. The coding language for the cardiac models is C++. The post-processing is done using Python. The workflow is constructed in the Kepler Workflow System (www.kepler-project.org). In addition, all code, associated files, and attributes are available via the GitHub link https://github.com/ClancyLabUCD/Workflow_Kepler.
Important Notes: The user-manual provides detailed outlines of how to install Kepler, modify workflow parameters, choose the execution platform, and get results from the multi-scale cardiac workflow. The user manual can be accessed at the root of the git repository under filename: “UserManual.docx”
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