Building Digital Twins for Cardiovascular Health: from principles to clinical impact

K Sel, D Osman, F Zare… - Journal of the …, 2024 - ahajournals.org
The past several decades have seen rapid advances in diagnosis and treatment of
cardiovascular diseases and stroke, enabled by technological breakthroughs in imaging …

Right Ventricular Pressure Waveform Analysis–Clinical Relevance and Future Directions

PM Heerdt, VO Kheyfets, HT Oakland, P Joseph… - … of Cardiothoracic and …, 2024 - Elsevier
Continuous measurement of pressure in the right atrium and pulmonary artery has
commonly been used to monitor right ventricular function in critically ill and surgical patients …

[图书][B] Biomechanics of the Aorta: Modeling for Patient Care

TC Gasser, S Avril, JA Elefteriades - 2024 - books.google.com
Biomechanics of the Aorta: Modelling for Patient Care is a holistic analysis of the aorta
towards its biomechanical description. The book addresses topics such as physiology …

A comparative analysis of metamodels for lumped cardiovascular models, and pipeline for sensitivity analysis, parameter estimation, and uncertainty quantification

JM Hanna, P Varsos, J Kowalski, L Sala… - arXiv preprint arXiv …, 2024 - arxiv.org
Zero-dimensional (0D) cardiovascular models are reduced-order models used to study
global circulation dynamics and transport. They provide estimates of biomarkers (such as …

A simplified model for regulating hemodynamic response of external counterpulsation on human common carotid arteries

Z Gao, J Na, Y Li, C Xue, Y Wang… - 2022 IEEE 17th …, 2022 - ieeexplore.ieee.org
External counterpulsation (ECP) is the mechanical therapy for ischemic cardiovascular and
cerebrovascular diseases in clinical. Mean arterial pressure for patients with cerebral …

Deep neural network to accurately predict left ventricular systolic function under mechanical assistance

J Bonnemain, M Zeller, L Pegolotti… - Frontiers in …, 2021 - frontiersin.org
Characterizing left ventricle (LV) systolic function in the presence of an LV assist device
(LVAD) is extremely challenging. We developed a framework comprising a deep neural …

[PDF][PDF] Estimation of left ventricular parameters based on deep learning method

L Cai, J Jiao, P Ma, W Xie, Y Wang - Mathematical Biosciences and …, 2022 - aimspress.com
Estimating material properties of personalized human left ventricular (LV) modelling is a
central problem in biomechanical studies. In this work we use deep learning (DL) method to …

Heart Transplants Unveiled: A Data-Driven Approach to Predict ICU Stay and Right Ventricle health in Heart Transplant Recipients

M Coll Beltrán - 2024 - upcommons.upc.edu
Right heart complications are particularly common among heart transplant patients, where
the right ventricle (RV) faces unique challenges in adapting to the new hemodynamic …