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Modeling of Post-Myocardial Infarction: ODE/PDE Analysis with R

Autor William E. Schiesser
en Limba Engleză Paperback – 25 aug 2023
Modeling of Post-Myocardial Infarction: ODE/PDE Analysis with R presents mathematical models for the dynamics of a post-myocardial (post-MI), aka, a heart attack. The mathematical models discussed consist of six ordinary differential equations (ODEs) with dependent variables Mun; M1; M2; IL10; Tα; IL1. The system variables are explained as follows: dependent variable Mun = cell density of unactivated macrophage; dependent variable M1 = cell density of M1 macrophage; dependent variable M2 = cell density of M2 macrophage; dependent variable IL10 = concentration of IL10, (interleuken-10); dependent variable Tα = concentration of TNF-α (tumor necrosis factor-α); dependent variable IL1 = concentration of IL1 (interleuken-1).
The system of six ODEs does not include a spatial aspect of an MI in the cardiac tissue. Therefore, the ODE model is extended to include a spatial effect by the addition of diffusion terms. The resulting system of six diffusion PDEs, with x (space) and t (time) as independent variables, is integrated (solved) by the numerical method of lines (MOL), a general numerical algorithm for PDEs.


  • Includes PDE routines based on the method of lines (MOL) for computer-based implementation of PDE models
  • Offers transportable computer source codes for readers in R, with line-by-line code descriptions as it relates to the mathematical model and algorithms
  • Authored by a leading researcher and educator in PDE models
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Specificații

ISBN-13: 9780443136115
ISBN-10: 0443136114
Pagini: 144
Dimensiuni: 191 x 235 mm
Editura: ELSEVIER SCIENCE

Public țintă

The primary audience includes researchers in computational modelling and computational biology, biomedical engineers, applied mathematicians, and computer scientists.
Other interested audiences will be comprised of researchers, clinicians, and developers in the field of cardiology.

Cuprins

1. ODE Model Development
2. ODE Model Implementation
3. PDE Model Formulation and Implementation
4. PDE Model Temporal Derivative Analysis
5. Analysis of the PDE Model Terms
Appendix A: Functions dss004, dss044