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Revolutionizing Cardiac Care: A Comprehensive Review of ECG-Based Arrhythmia Prediction Techniques
Cardiac arrhythmia has now become a common condition that affects millions of people worldwide. Arrhythmia can be detected and anticipated early,...
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A homogenized constrained mixture model of cardiac growth and remodeling: analyzing mechanobiological stability and reversal
Cardiac growth and remodeling (G&R) patterns change ventricular size, shape, and function both globally and locally. Biomechanical, neurohormonal,...
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A Three-Phase Heart Rate Variability Analysis for Assessing Cardiac Health Deterioration in Diabetics
Diabetes is a prevalent global ailment that results in dysfunction in multiple organs throughout the body. Dysfunction in the autonomous nervous...
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Artificial Intelligence Assisted Cardiac Signal Analysis for Heart Disease Prediction
Cardiovascular Disease (CVD) is the group of disorders of the heart and blood vessels and is a major health problem worldwide. It is highly essential...
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Finite Element of Biomechanical Model of the Human Myocardium from a Cardiac MRI Images
Biomechanical models of the myocardium provide more details of the heart behavior and several biomechanical parameters. Thus, biomechanical heart...
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Fetal Cardiac Detection Using Deep Learning from Echocardiographic Image–A Survey
Fetal echocardiography is a non-invasive diagnostic tool used to visualize the heart of a develo** fetus. Machine learning algorithms can be used...
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CADNet: cardiac arrhythmia detection and classification using unified principal component analysis and 1D-CNN model
Cardiac arrhythmia is a critical cardiovascular disorder characterized by irregular heartbeats, detectable through electrocardiogram (ECG) signals....
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Post-infarct evolution of ventricular and myocardial function
Adverse ventricular remodeling following acute myocardial infarction (MI) may induce ventricular dilation, fibrosis, and loss of global contractile...
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Left Ventricle Volume Analysis in Cardiac MRI Images Using Convolutional Neural Networks
Cardiac magnetic resonance imaging is used to detect cardiovascular diseases in the early stage of diagnosis, preventing cardiac disease worsening....
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Medical Decision Making Based 5D Cardiac MRI Segmentation Tools
In this survey, a comparison study between various tools in medical segmentation was proposed. This study serves to evaluate and estimate the...
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Development of Wearable and Portable Cardiac Arrest Prediction System
The research is founded on a medical engineering strategy for the creation of a cost-effective Cardiac Arrest Prediction Device. These gadgets have...
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Non-contact Cardiac Health Monitoring System Based on Combined ECG-SCG Measurement
Cardiovascular disease is a leading cause of death in society, so the prevention and treatment of this disease has gradually received more attention....
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A digital cardiac disease biomarker from a generative progressive cardiac cine-MRI representation
Cardiac cine-MRI is one of the most important diagnostic tools used to assess the morphology and physiology of the heart during the cardiac cycle....
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Modeling cardiac microcirculation for the simulation of coronary flow and 3D myocardial perfusion
Accurate modeling of blood dynamics in the coronary microcirculation is a crucial step toward the clinical application of in silico methods for the...
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Models for Closed-Loop Cardiac Control Using Vagal Nerve Stimulation
Vagal nerve stimulation has shown beneficial effects in treating cardiovascular diseases. However, the lack of clinical efficacy, as well as...
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Predictive Modelling of Cardiac Disease: Enhancing Accuracy Through Machine Learning Algorithms and Borderline-SMOTE Technique
In the field of medicine, the early detection of cardiac issues presents a considerable hurdle. Globally, this disease consistently stands as one of...
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Identification of Atypical Cardiac Patterns Before and After Exercising Using Artificial Intelligence and Eulerian Video Magnification
This project is part of the research line of emerging technologies in rehabilitation of the BASPI-FootLab research group of the Javeriana University....
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Cardiac Arrhythmia Detection and Prediction Using Deep Learning Technique
One of the fatal diseases in the world is heart disease. Every year, millions of people die of cardiovascular diseases. However, one can decrease the...
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Heptagonal Reinforcement Learning (HRL): a novel algorithm for early prevention of non-sinus cardiac arrhythmia
There have been many connections between medical science and artificial intelligence in recent years. Many problems arise with the integrity of...
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Tissue poromechanical deformation effects on steam pop likelihood in 3-D radiofrequency cardiac ablation
Radiofrequency Cardiac Ablation (RFCA) is a common procedure that heats cardiac tissue to destroy abnormal signal pathways to eliminate arrhythmias....
