A5037467975- Cardiovascular Health and Disease Prevention
- Heart Rate Variability and Autonomic Control
- Cardiovascular Function and Risk Factors
- Neurological Disorders and Treatments
- Hormonal Regulation and Hypertension
- Cardiovascular Disease and Adiposity
- Tracheal and airway disorders
- Biochemical Acid Research Studies
- Optical Imaging and Spectroscopy Techniques
- Foreign Body Medical Cases
- Biochemical effects in animals
- Paraoxonase enzyme and polymorphisms
- Pharmacological Effects of Natural Compounds
- Coronary Interventions and Diagnostics
- Effects of Radiation Exposure
- Traumatic Brain Injury and Neurovascular Disturbances
- Non-Invasive Vital Sign Monitoring
- Orthopedic Surgery and Rehabilitation
Sechenov University
1959-2024
Moscow Institute of Physics and Technology
2023-2024
Adequate personalized numerical simulation of hemodynamic indices in coronary arteries requires accurate identification the key parameters. Elastic properties vessels produce a significant effect on accuracy simulations. Direct measurements elasticity are not available general clinic. Pulse wave velocity (AoPWV) aorta correlates with aortic and elasticity. In this work, we present neural network approach for estimating AoPWV. Because limited number clinical cases, used synthetic AoPWV...
This paper presents a methodology to generate synthetic pulse wave database. Each virtual subject is generated with the help of one-dimensional hemodynamics model systemic circulation lumped left heart. describes and compares two parameter optimization methods: unscented Kalman filter Bayesian optimization. As case study, an experiment conducted predict cardio-ankle vascular index (CAVI) values for real individuals machine learning algorithm trained on population. The average error 6.5% achieved
The high prevalence of traditional cardiovascular risk factors among the patients without disease (CVD) allows us to predict an increase in morbidity rate future. Arterial stiffness is one most important predictors and pathogenetic mechanisms CVD development. aim our study was evaluate predictive differences age-related age-independent (universal) cardio-ankle vascular index (CAVI) reference values for detecting increased arterial individuals CVD.
Abstract 1. Vascular conditioned and unconditioned reflexes vary with the typological features of human nervous system.