FISIOCOMP Tools
Some of the computational tools developed at FISIOCOMP are available at our main GitHub repository at the following link: FISIOCOMP-UFJF. A brief description of some tools is given below.
AGOS
AGOS is a CellML converter which allows the generation of C or Python code for solving the cell model.
Reference: Ciro B. Barbosa, Rodrigo W. dos Santos, Ronan M. Amorim, Leandro N. Ciuffo, Fairus Manfroi, Rafael S. Oliveira, Fernando O. Campos. A Transformation Tool for ODE Based Models. Part of the Lecture Notes in Computer Science book series (LNCS, volume 3991).
https://doi.org/10.1007/11758501_14
MonoALG3D
Adaptive monodomain simulator using GPUs.
Reference: A parallel accelerated adaptive mesh algorithm for the solution of electrical models of the heart.
OLIVEIRA, R. S.; ROCHA, B. M.; BURGARELLI, D.; MEIRA JUNIOR, W.; SANTOS, Rodrigo Weber dos.
International Journal of High Performance Systems Architecture (Print), v. 4, p. 89-100, 2012. https://doi.org/10.1504/IJHPSA.2012.050988
LVSpline
A pametrized approach for generating LV geometries and FE meshes using Python and Gmsh.
Campos, J. O., et al. “Uncertainty quantification and sensitivity analysis of left ventricular function during the full cardiac cycle.” Philosophical Transactions of the Royal Society A 378.2173 (2020): 20190381.