Cuff-less and continuous blood pressure monitoring: a methodological review
Blood pressure (BP) is one of the most important monitoring parameters in clinical medicine.
For years, the cuff-based sphygmomanometer and the arterial invasive line have been the …
For years, the cuff-based sphygmomanometer and the arterial invasive line have been the …
Preconditioning discretizations of systems of partial differential equations
KA Mardal, R Winther - Numerical Linear Algebra with …, 2011 - Wiley Online Library
This survey paper is based on three talks given by the second author at the London
Mathematical Society Durham Symposium on Computational Linear Algebra for Partial …
Mathematical Society Durham Symposium on Computational Linear Algebra for Partial …
A mathematical model that integrates cardiac electrophysiology, mechanics, and fluid dynamics: Application to the human left heart
We propose a mathematical and numerical model for the simulation of the heart function that
couples cardiac electrophysiology, active and passive mechanics and hemodynamics, and …
couples cardiac electrophysiology, active and passive mechanics and hemodynamics, and …
Integrated heart—coupling multiscale and multiphysics models for the simulation of the cardiac function
Mathematical modeling of the human heart and its function can expand our understanding of
various cardiac diseases, which remain the most common cause of death in the developed …
various cardiac diseases, which remain the most common cause of death in the developed …
[HTML][HTML] Hybrid FEM-NN models: Combining artificial neural networks with the finite element method
We present a methodology combining neural networks with physical principle constraints in
the form of partial differential equations (PDEs). The approach allows to train neural …
the form of partial differential equations (PDEs). The approach allows to train neural …
[图书][B] Mathematical modelling of the human cardiovascular system: data, numerical approximation, clinical applications
Mathematical and numerical modelling of the human cardiovascular system has attracted
remarkable research interest due to its intrinsic mathematical difficulty and the increasing …
remarkable research interest due to its intrinsic mathematical difficulty and the increasing …
POD-enhanced deep learning-based reduced order models for the real-time simulation of cardiac electrophysiology in the left atrium
The numerical simulation of multiple scenarios easily becomes computationally prohibitive
for cardiac electrophysiology (EP) problems if relying on usual high-fidelity, full order models …
for cardiac electrophysiology (EP) problems if relying on usual high-fidelity, full order models …
[图书][B] Optimal control of partial differential equations
This is a book on Optimal Control Problems (OCPs): how to formulate them, how to set up a
suitable mathematical framework for their analysis, how to approximate them numerically …
suitable mathematical framework for their analysis, how to approximate them numerically …
Deep learning-based reduced order models in cardiac electrophysiology
Predicting the electrical behavior of the heart, from the cellular scale to the tissue level, relies
on the numerical approximation of coupled nonlinear dynamical systems. These systems …
on the numerical approximation of coupled nonlinear dynamical systems. These systems …
Mathematical modeling of electrocardiograms: a numerical study
M Boulakia, S Cazeau, MA Fernández… - Annals of biomedical …, 2010 - Springer
This paper deals with the numerical simulation of electrocardiograms (ECG). Our aim is to
devise a mathematical model, based on partial differential equations, which is able to …
devise a mathematical model, based on partial differential equations, which is able to …