Cardiovascular

Arrhythmias

Latest AI and machine learning research in arrhythmias for healthcare professionals.

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Showing 463-483 of 1,996 articles
Prediction of ECG signals from ballistocardiography using deep learning for the unconstrained measurement of heartbeat intervals.

We developed a deep learning-based extraction of electrocardiographic (ECG) waves from ballistocardi...

Jan 2025 39762351
Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imaging.

Cardiovascular diseases (CVD) can be diagnosed using various diagnostic modalities. The electrocardi...

Jan 2025 39793216
Application of machine learning in predicting postoperative arrhythmia following transcatheter closure of perimembranous ventricular septal defects.

BACKGROUND: Arrhythmia is a frequent complication following transcatheter device closure of perimemb...

Jan 2025 39743914
The Role of Machine Learning in the Detection of Cardiac Fibrosis in Electrocardiograms: Scoping Review.

BACKGROUND: Cardiovascular disease remains the leading cause of mortality worldwide. Cardiac fibrosi...

Dec 2024 39753213
MrSeNet: Electrocardiogram signal denoising based on multi-resolution residual attention network.

Electrocardiography (ECG) is a widely used, non-invasive, and cost-effective diagnostic method that ...

Dec 2024 39742813
Predicting lack of clinical improvement following varicose vein ablation using machine learning.

OBJECTIVE: Varicose vein ablation is generally indicated in patients with active/healed venous ulcer...

Dec 2024 39732288
12 lead surface ECGs as a surrogate of atrial electrical remodeling - a deep learning based approach.

BACKGROUND AND PURPOSE: Atrial fibrillation (AF), a common arrhythmia, is linked with atrial electri...

Dec 2024 39742814
Machine Learning-Driven Identification of Distinct Persistent Atrial Fibrillation Phenotypes: A Cluster Analysis of DECAAF II.

INTRODUCTION: Catheter ablation of persistent atrial fibrillation yields sub-optimal success rates p...

Dec 2024 39716785
Identifying the presence of atrial fibrillation during sinus rhythm using a dual-input mixed neural network with ECG coloring technology.

BACKGROUND: Undetected atrial fibrillation (AF) poses a significant risk of stroke and cardiovascula...

Dec 2024 39716064
Predicting Early recurrence of atrial fibrilation post-catheter ablation using machine learning techniques.

BACKGROUND: Catheter ablation is a common treatment for atrial fibrillation (AF), but recurrence rat...

Dec 2024 39702028
Accurate Arrhythmia Classification with Multi-Branch, Multi-Head Attention Temporal Convolutional Networks.

Electrocardiogram (ECG) signals contain complex and diverse features, serving as a crucial basis for...

Dec 2024 39771858
Arrhythmia Detection by Data Fusion of ECG Scalograms and Phasograms.

The automatic detection of arrhythmia is of primary importance due to the huge number of victims cau...

Dec 2024 39771779
Advances in deep learning for personalized ECG diagnostics: A systematic review addressing inter-patient variability and generalization constraints.

The Electrocardiogram (ECG) remains a fundamental tool in cardiac diagnostics, yet its interpretatio...

Dec 2024 39708490
A novel ECG-based approach for classifying psychiatric disorders: Leveraging wavelet scattering networks.

Individuals with neuropsychiatric disorders experience both physical and mental difficulties, hinder...

Dec 2024 39922653
Utility of a Large Language Model for Extraction of Clinical Findings from Healthcare Data following Lung Ablation: A Feasibility Study.

To assess the feasibility of utilizing a large language model (LLM) in extracting clinically relevan...

Dec 2024 39662619
A systematic review on the impact of artificial intelligence on electrocardiograms in cardiology.

BACKGROUND: Artificial intelligence (AI) has revolutionized numerous industries, enhancing efficienc...

Dec 2024 39674006
An Energy-Efficient ECG Processor With Ultra-Low-Parameter Multistage Neural Network and Optimized Power-of-Two Quantization.

This work presents an energy-efficient ECG processor designed for Cardiac Arrhythmia Classification....

Dec 2024 38587951
Advancing personalised care in atrial fibrillation and stroke: The potential impact of AI from prevention to rehabilitation.

Atrial fibrillation (AF) is a complex condition caused by various underlying pathophysiological diso...

Dec 2024 39653093
Design and validation of Withings ECG Software 2, a tiny neural network based algorithm for detection of atrial fibrillation.

BACKGROUND: Atrial Fibrillation (AF) is the most common form of arrhythmia in the world with a preva...

Dec 2024 39642697
Time-frequency transformation integrated with a lightweight convolutional neural network for detection of myocardial infarction.

Myocardial infarction (MI) is a life-threatening medical condition that necessitates both timely and...

Dec 2024 39623294
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