An algorithmic chain for the forward personalized ECG simulation and the evaluation of its working time

Authors

  • A.S. Yurova I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University)

DOI:

https://doi.org/10.26089/NumMet.v19r107

Keywords:

segmentation of medical images, personalized models, texture analysis, forward ECG simulation

Abstract

An algorithmic chain for the forward ECG simulation using personalized anatomical patient models is proposed. The proposed algorithmic chain contains algorithms for segmentation of medical images, mesh generation and solving the forward ECG problem. The algorithms for segmentation and solving the forward ECG problem are accelerated. The working time of the algorithmic chain is evaluated.

Author Biography

A.S. Yurova

I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University)
• Junior Researcher

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Published

25-02-2018

How to Cite

Юрова А. An Algorithmic Chain for the Forward Personalized ECG Simulation and the Evaluation of Its Working Time // Numerical Methods and Programming (Vychislitel’nye Metody i Programmirovanie). 2018. 19. 72-84. doi 10.26089/NumMet.v19r107

Issue

Vol. 19 (2018): Issue 1.

Section

Section 1. Numerical methods and applications