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Found 6 papers, 3 papers with code
ECG Feature Importance Rankings: Cardiologists vs. Algorithms
Feature importance methods promise to provide a ranking of features according to importance for a given classification task.
MedalCare-XL: 16,900 healthy and pathological 12 lead ECGs obtained through electrophysiological simulations
Mechanistic cardiac electrophysiology models allow for personalized simulations of the electrical activity in the heart and the ensuing electrocardiogram (ECG) on the body surface.
Non-invasive Localization of the Ventricular Excitation Origin Without Patient-specific Geometries Using Deep Learning
The median localization error on the clinical data was as low as 32mm.
A bi-atrial statistical shape model for large-scale in silico studies of human atria: model development and application to ECG simulations
The novel, openly available bi-atrial SSM can in future be employed to generate large sets of realistic atrial geometries as a basis for in silico big data approaches.
Cobiveco: Consistent biventricular coordinates for precise and intuitive description of position in the heart -- with MATLAB implementation
For the transfer of data between different hearts as another use case, the consistency of coordinate values across different geometries is particularly relevant.
Reconstruction of Potassium Concentrations with the ECG on Imbalanced Datasets
By doing so, we tried to generate a model being suitable for the whole range of the concentrations. With weighting, errors are increasing for the whole dataset.
