Personalized mathematical model of human arm arteries with inflow boundary condition

Autor: Raheem Gul, N. Shaheen, A. Shahzad
Rok vydání: 2020
Předmět:
Zdroj: The European Physical Journal Plus. 135
ISSN: 2190-5444
DOI: 10.1140/epjp/s13360-019-00024-z
Popis: Mathematical modeling is a powerful tool to study the overall behavior of the cardiovascular system (CVS). To build a personalized or predictive mathematical model of the human CVS, it is essential to validate the model outputs with some empirical results (measurements). In this paper, we developed a 0D model of the human arm arteries for inflow boundary condition in complement with the data obtained from a healthy person. Further, the model outputs are validated/compared with the non-invasive flow measurements taken at ulnar artery using Doppler ultrasound (Toshiba’s Aplio$$^{\text {TM}}$$ 500). We observed a good agreement between model simulations and flow measurements taken at ulnar artery of a healthy person $$(r=0.8264)$$.
Databáze: OpenAIRE