Roughly Collected Dataset for Contact Force Sensing Catheter [PDF]
With rise of interventional cardiology, Catheter Ablation Therapy (CAT) has established itself as a first-line solution to treat cardiac arrhythmia. Although CAT is a promising technique, cardiologist lacks vision inside the body during the procedure, which may cause serious clinical syndromes.
arxiv
Health Digital Twins Supported by Artificial Intelligence-based Algorithms and Extended Reality in Cardiology [PDF]
Recently, significant efforts have been made to create Health Digital Twins (HDTs), digital twins for clinical applications. Heart modeling is one of the fastest-growing fields, which favors the effective application of HDTs. The clinical application of HDTs will be increasingly widespread in the future of healthcare services and has a huge potential ...
arxiv +1 more source
Multi-Modality Cardiac Image Computing: A Survey [PDF]
Multi-modality cardiac imaging plays a key role in the management of patients with cardiovascular diseases. It allows a combination of complementary anatomical, morphological and functional information, increases diagnosis accuracy, and improves the efficacy of cardiovascular interventions and clinical outcomes.
arxiv
Scalable kernel balancing weights in a nationwide observational study of hospital profit status and heart attack outcomes [PDF]
Weighting is a general and often-used method for statistical adjustment. Weighting has two objectives: first, to balance covariate distributions, and second, to ensure that the weights have minimal dispersion and thus produce a more stable estimator.
arxiv
Identification of 27 abnormalities from multi-lead ECG signals: An ensembled Se-ResNet framework with Sign Loss function [PDF]
Cardiovascular disease is a major threat to health and one of the primary causes of death globally. The 12-lead ECG is a cheap and commonly accessible tool to identify cardiac abnormalities. Early and accurate diagnosis will allow early treatment and intervention to prevent severe complications of cardiovascular disease.
arxiv
Fusing Continuous-valued Medical Labels using a Bayesian Model [PDF]
With the rapid increase in volume of time series medical data available through wearable devices, there is a need to employ automated algorithms to label data. Examples of labels include interventions, changes in activity (e.g. sleep) and changes in physiology (e.g. arrhythmias).
arxiv +1 more source
Software Reuse in Cardiology Related Medical Database Using K-Means Clustering Technique [PDF]
Software technology based on reuse is identified as a process of designing software for the reuse purpose. The software reuse is a process in which the existing software is used to build new software. A metric is a quantitative indicator of an attribute of an item or thing.
arxiv +1 more source
Detection and localization of Coronary Arterial Lesion with the Aid of Impedance Cardiography [PDF]
In recent years, coronary artery disease is escalating and is likely to assume an epidemic proportion by 2030. Currently the reliable methods for detection of coronary arterial lesions are either conventional coronary angiogram (CAG) or MDCT (Multiple Detector Computed Tomography) coronary angiogram.
arxiv
A Primer on Computational Simulation in Congenital Heart Disease for the Clinician [PDF]
Interest in the application of engineering methods to problems in congenital heart disease has gained increased popularity over the past decade. The use of computational simulation to examine common clinical problems including single ventricle physiology and the associated surgical approaches, the effects of pacemaker implantation on vascular occlusion,
arxiv +1 more source
View point on social media use in interventional cardiology
The dissemination of scientific developments has conventionally been through two main platforms: medical journals and scientific conferences. In 1665, the Royal Society released the first medical journal, Philosophical Transactions.
M. Alasnag+10 more
semanticscholar +1 more source