An algorithmic chain for the forward personalized ECG simulation and the evaluation of its working time
Numerical methods and programming, Tome 19 (2018) no. 1, pp. 72-84.

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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.
Keywords: segmentation of medical images, personalized models, texture analysis, forward ECG simulation.
@article{VMP_2018_19_1_a6,
     author = {A. S. Yurova},
     title = {An algorithmic chain for the forward personalized {ECG} simulation and the evaluation of its working time},
     journal = {Numerical methods and programming},
     pages = {72--84},
     publisher = {mathdoc},
     volume = {19},
     number = {1},
     year = {2018},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VMP_2018_19_1_a6/}
}
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A. S. Yurova. An algorithmic chain for the forward personalized ECG simulation and the evaluation of its working time. Numerical methods and programming, Tome 19 (2018) no. 1, pp. 72-84. http://geodesic.mathdoc.fr/item/VMP_2018_19_1_a6/