Geodesic
Synthetic pulse wave dataset for analysis of vascular ageing in elderly patients
Artem Rogov1, 2 ; Timur Gamilov1, 2, 3 ; Anna Bragina1, 4 ; Magomed Abdullaev1 ; Natalia Druzhinina1, 4 ; Yuliya Rodionova1, 4 ; Rustam Shikhmagomedov4 ; Maksim Tyulin4 ; Valeriy Podzolkov4
1 World-Class Research Center “Digital Biodesign and Personalized Healthcare”, Sechenov First Moscow StateMedical University, 19991 Moscow, Russia
2 Moscow Institute of Physics and Technology, 141701 Dolgoprudny, Russia
3 Department of Mathematical Modelling of Processes and Materials, Sirius University of Science and Technology, 354340 Sochi, Russia
4 I.M. Sechenov First Moscow State Medical University (Sechenov University), 19991, Moscow, Russia
Mathematical modelling of natural phenomena, Tome 19 (2024), article no. 20.

Voir la notice de l'article provenant de la source EDP Sciences

This paper presents a methodology to generate synthetic pulse wave database. Each virtual subject is generated with the help of one-dimensional hemodynamics model of systemic circulation with lumped model of the left heart. This paper describes and compares two parameter optimization methods: unscented Kalman filter and Bayesian optimization. As a case study, an experiment is conducted to predict cardio-ankle vascular index (CAVI) values for real individuals with a machine learning algorithm trained on a synthetic population. The average error of 6.5% is achieved
DOI : 10.1051/mmnp/2024017

Artem Rogov 1, 2 ; Timur Gamilov 1, 2, 3 ; Anna Bragina 1, 4 ; Magomed Abdullaev 1 ; Natalia Druzhinina 1, 4 ; Yuliya Rodionova 1, 4 ; Rustam Shikhmagomedov 4 ; Maksim Tyulin 4 ; Valeriy Podzolkov 4

1 World-Class Research Center “Digital Biodesign and Personalized Healthcare”, Sechenov First Moscow StateMedical University, 19991 Moscow, Russia
2 Moscow Institute of Physics and Technology, 141701 Dolgoprudny, Russia
3 Department of Mathematical Modelling of Processes and Materials, Sirius University of Science and Technology, 354340 Sochi, Russia
4 I.M. Sechenov First Moscow State Medical University (Sechenov University), 19991, Moscow, Russia 
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     title = {Synthetic pulse wave dataset for analysis of vascular ageing in elderly patients},
     journal = {Mathematical modelling of natural phenomena},
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Artem Rogov; Timur Gamilov; Anna Bragina; Magomed Abdullaev; Natalia Druzhinina; Yuliya Rodionova; Rustam Shikhmagomedov; Maksim Tyulin; Valeriy Podzolkov. Synthetic pulse wave dataset for analysis of vascular ageing in elderly patients. Mathematical modelling of natural phenomena, Tome 19 (2024), article  no. 20. doi : 10.1051/mmnp/2024017. http://geodesic.mathdoc.fr/articles/10.1051/mmnp/2024017/

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