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; Ta; 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 Ta = concentration of TNF-a
(tumor necrosis factor-a); 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.
General
Imprint: |
Academic Press Inc
|
Country of origin: |
United States |
Release date: |
September 2023 |
First published: |
2024 |
Authors: |
William E. Schiesser
|
Dimensions: |
235 x 191mm (L x W) |
Format: |
Paperback
|
Pages: |
200 |
ISBN-13: |
978-0-443-13611-5 |
Categories: |
Books
|
LSN: |
0-443-13611-4 |
Barcode: |
9780443136115 |
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