Arrhythmias

Arrhythmias

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

2,496 articles

Identification of A0 minimum ablative margins for colorectal liver metastases: multicentre, retrospective study using deformable CT registration and artificial intelligence-based autosegmentation.

BACKGROUND: Several ablation confirmation software methods for minimum ablative margin assessment ha...

Aug 2024 39213397

Deep Learning-Based Electrocardiogram Analysis Predicts Biventricular Dysfunction and Dilation in Congenital Heart Disease.

BACKGROUND: Artificial intelligence-enhanced electrocardiogram (AI-ECG) analysis shows promise to de...

Aug 2024 39168568

[Early classification and recognition algorithm for sudden cardiac arrest based on limited electrocardiogram data trained with a two-stages convolutional neural network].

Sudden cardiac arrest (SCA) is a lethal cardiac arrhythmia that poses a serious threat to human life...

(1)

Aug 2024 39218594

[Detection model of atrial fibrillation based on multi-branch and multi-scale convolutional networks].

Atrial fibrillation (AF) is a life-threatening heart condition, and its early detection and treatmen...

Aug 2024 39218595

Evaluating the Predictive Features of Person-Centric Knowledge Graph Embeddings: Unfolding Ablation Studies.

Developing novel predictive models with complex biomedical information is challenging due to various...

(1)

Aug 2024 39176807

A Novel Method and Python Library for ECG Signal Quality Assessment.

Electrocardiogram (ECG) is one of the reference cardiovascular diagnostic exams. However, the ECG si...

(1)

Aug 2024 39176928

AcousAF: Acoustic Sensing-Based Atrial Fibrillation Detection System for Mobile Phones

Atrial fibrillation (AF) is characterized by irregular electrical impulses originating in the atri...

Aug 2024 http://arxiv.org/abs/2408.04912v1

VizECGNet: Visual ECG Image Network for Cardiovascular Diseases Classification with Multi-Modal Training and Knowledge Distillation

An electrocardiogram (ECG) captures the heart's electrical signal to assess various heart conditio...

(1)

Aug 2024 http://arxiv.org/abs/2408.02888v1

Innovative approaches to atrial fibrillation prediction: should polygenic scores and machine learning be implemented in clinical practice?

Atrial fibrillation (AF) prediction and screening are of important clinical interest because of the ...

Aug 2024 39073570

Quantifying variabilities in cardiac digital twin models of the electrocardiogram

Cardiac digital twins (CDTs) of human cardiac electrophysiology (EP) are digital replicas of patie...

(2)

Jul 2024 http://arxiv.org/abs/2407.17146v2

Multi-Modal Dataset Creation for Federated Learning with DICOM Structured Reports

Purpose: Federated training is often hindered by heterogeneous datasets due to divergent data stor...

Jul 2024 http://arxiv.org/abs/2407.09064v2

Transformer Circuit Faithfulness Metrics are not Robust

Mechanistic interpretability work attempts to reverse engineer the learned algorithms present insi...

Jul 2024 http://arxiv.org/abs/2407.08734v1

MDDBranchNet: A Deep Learning Model for Detecting Major Depressive Disorder Using ECG Signal.

Major depressive disorder (MDD) is a chronic mental illness which affects people's well-being and is...

Jul 2024 38954560

Unlocking Hidden Risks: Harnessing Artificial Intelligence (AI) to Detect Subclinical Conditions from an Electrocardiogram (ECG).

Recent artificial intelligence (AI) advancements in cardiovascular medicine offer potential enhancem...

(1)

Jul 2024 39266002

A CNN and Transformer Hybrid Network for Multi-Class Arrhythmia Detection from Photoplethysmography.

Photoplethysmography (PPG)-based arrhythmia detection methods have gained attention with wearable te...

(3)

Jul 2024 40031449

ECG-based Daily Activity Recognition Using 1D Convolutional Neural Networks.

This study presents an approach to human activity recognition (HAR) using electrocardiogram (ECG) si...

(2)

Jul 2024 40038970

Federated Learning for Enhanced ECG Signal Classification with Privacy Awareness.

This paper presents a novel approach for classifying electrocardiogram (ECG) signals in healthcare a...

(5)

Jul 2024 40039001

Explainable Multimodal Deep Learning for Heart Sounds and Electrocardiogram Classification.

We introduce a Gradient-weighted Class Activation Mapping (Grad-CAM) methodology to assess the perfo...

(6)

Jul 2024 40039014

A Hybrid GCN-LSTM Model for Ventricular Arrhythmia Classification Based on ECG Pattern Similarity.

Accurate differentiation between Ventricular Tachycardia (VT) and Ventricular Fibrillation (VF) is e...

(1)

Jul 2024 40039060

ECG Abnormality Detection Using MIMIC-IV-ECG Data Via Supervised Contrastive Learning.

Electrocardiogram data provide a tremendous opportunity for the detection of various types of cardia...

Jul 2024 40039094

A Non-Intrusive Neural Quality Assessment Model for Surface Electromyography Signals.

In practical scenarios involving the measurement of surface electromyography (sEMG) in muscles, part...

Jul 2024 40039220

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