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Forward problem of electrocardiography based on cardiac source vector orientations.
Biomed Phys Eng Express
April 2024
Department of Electronics and Communication Engineering, Manipal Institute of Technology (Manipal Academy of Higher Education), Manipal-576104, India.
To localize the unusual cardiac activities non-invasively, one has to build a prior forward model that relates the heart, torso, and detectors. This model has to be constructed to mathematically relate the geometrical and functional activities of the heart. Several methods are available to model the prior sources in the forward problem, which results in the lead field matrix generation.
View Article and Find Full Text PDFModeling ventricular repolarization gradients in normal cases using the equivalent dipole layer.
J Electrocardiol
January 2024
Department of Cardiology, University Medical Center Utrecht, Heidelberglaan 100, 3584, CX, Utrecht, the Netherlands,; ECG Excellence, Weijland 38, 2415 BC Nieuwerbrug, the Netherlands.
Background Electrical activity underlying the T-wave is less well understood than the QRS-complex. This study investigated the relationship between normal T-wave morphology and the underlying ventricular repolarization gradients using the equivalent dipole layer (EDL). Methods Body-surface-potential-maps (BSPM, 67‑leads) were obtained in nine normal cases.
View Article and Find Full Text PDFA reduced complexity ECG imaging model for regularized inversion optimization.
Comput Biol Med
December 2023
Nantes Université, Ecole Centrale Nantes, LS2N UMR CNRS 6004, Nantes, 44000, France.
The resolution of the inverse problem of electrocardiography represents a major interest in the diagnosis and catheter-based therapy of cardiac arrhythmia. In this context, the ability to simulate several cardiac electrical behaviors was crucial for evaluating and comparing the performance of inversion methods. For this application, existing models are either too complex or do not produce realistic cardiac patterns.
View Article and Find Full Text PDFDifferences in ventricular wall composition may explain inter-patient variability in the ECG response to variations in serum potassium and calcium.
Front Physiol
October 2023
BSICoS Group, I3A Institute, University of Zaragoza, IIS Aragón, Zaragoza, Spain.
Chronic kidney disease patients have a decreased ability to maintain normal electrolyte concentrations in their blood, which increases the risk for ventricular arrhythmias and sudden cardiac death. Non-invasive monitoring of serum potassium and calcium concentration, [K] and [Ca], can help to prevent arrhythmias in these patients. Electrocardiogram (ECG) markers that significantly correlate with [K] and [Ca] have been proposed, but these relations are highly variable between patients.
View Article and Find Full Text PDFBranched Latent Neural Maps.
Comput Methods Appl Mech Eng
January 2024
Department of Bioengineering, Stanford University, California, USA.
We introduce Branched Latent Neural Maps (BLNMs) to learn finite dimensional input-output maps encoding complex physical processes. A BLNM is defined by a simple and compact feedforward partially-connected neural network that structurally disentangles inputs with different intrinsic roles, such as the time variable from model parameters of a differential equation, while transferring them into a generic field of interest. BLNMs leverage latent outputs to enhance the learned dynamics and break the curse of dimensionality by showing excellent in-distribution generalization properties with small training datasets and short training times on a single processor.
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