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The cardiovascular system: mathematical modelling, numerical algorithms and clinical applications
Mathematical and numerical modelling of the cardiovascular system is a research topic that
has attracted remarkable interest from the mathematical community because of its intrinsic …
has attracted remarkable interest from the mathematical community because of its intrinsic …
Validation and opportunities of electrocardiographic imaging: from technical achievements to clinical applications
Electrocardiographic imaging (ECGI) reconstructs the electrical activity of the heart from a
dense array of body-surface electrocardiograms and a patient-specific heart-torso geometry …
dense array of body-surface electrocardiograms and a patient-specific heart-torso geometry …
[หนังสือ][B] Mathematical cardiac electrophysiology
This book covers the main mathematical and numerical models in computational
electrocardiology, ranging from microscopic membrane models of cardiac ionic channels to …
electrocardiology, ranging from microscopic membrane models of cardiac ionic channels to …
Solving the inverse problem of electrocardiography for cardiac digital twins: A survey
Cardiac digital twins (CDTs) are personalized virtual representations used to understand
complex cardiac mechanisms. A critical component of CDT development is solving the ECG …
complex cardiac mechanisms. A critical component of CDT development is solving the ECG …
Noninvasive personalization of a cardiac electrophysiology model from body surface potential map**
Goal: We use noninvasive data (body surface potential map**, BSPM) to personalize the
main parameters of a cardiac electrophysiological (EP) model for predicting the response to …
main parameters of a cardiac electrophysiological (EP) model for predicting the response to …
Frequency-enhanced geometric-constrained reconstruction for localizing myocardial infarction in 12-lead electrocardiograms
Determining the location of myocardial infarction is crucial for clinical management and
therapeutic stratagem. However, existing diagnostic tools either sacrifice ease of use or are …
therapeutic stratagem. However, existing diagnostic tools either sacrifice ease of use or are …
Using transmural regularization and dynamic modeling for noninvasive cardiac potential imaging of endocardial pacing with imprecise thoracic geometry
Cardiac electrical imaging from body surface potential measurements is increasingly being
seen as a technology with the potential for use in the clinic, for example for pre-procedure …
seen as a technology with the potential for use in the clinic, for example for pre-procedure …
Efficient probabilistic model personalization integrating uncertainty on data and parameters: Application to eikonal-diffusion models in cardiac electrophysiology
Biophysical models are increasingly used for medical applications at the organ scale.
However, model predictions are rarely associated with a confidence measure although there …
However, model predictions are rarely associated with a confidence measure although there …
Comparison of dipole-based and potential-based ECGI methods for premature ventricular contraction beat localization with clinical data
Introduction: Localization of premature ventricular contraction (PVC) origin to guide the
radiofrequency ablation (RFA) procedure is one of the prominent clinical goals of non …
radiofrequency ablation (RFA) procedure is one of the prominent clinical goals of non …
Transfer learning from simulations on a reference anatomy for ECGI in personalized cardiac resynchronization therapy
Goal: Noninvasive cardiac electrophysiology (EP) model personalisation has raised interest
for instance in the scope of predicting EP cardiac resynchronization therapy (CRT) …
for instance in the scope of predicting EP cardiac resynchronization therapy (CRT) …