Cardiovascular

Arrhythmias

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

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Real-time estimation of lesion depth and control of radiofrequency ablation within ex vivo animal tissues using a neural network.

BACKGROUND: Radiofrequency ablation (RFA), a method of inducing thermal ablation (cell death), is of...

Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals.

Coronary artery disease (CAD) is the most common cause of heart disease globally. This is because th...

Development of models for predicting Torsade de Pointes cardiac arrhythmias using perceptron neural networks.

BACKGROUND: Blockage of some ion channels and in particular, the hERG (human Ether-a'-go-go-Related ...

Real-Time Monitoring and Analysis of Zebrafish Electrocardiogram with Anomaly Detection.

Heart disease is the leading cause of mortality in the U.S. with approximately 610,000 people dying ...

Catheter Ablation of Focal Atrial Tachycardia Using Remote Magnetic Navigation.

OBJECTIVES: The outcomes of catheter ablation in focal atrial tachycardia (AT) using remote magnetic...

Detecting atrial fibrillation by deep convolutional neural networks.

BACKGROUND: Atrial fibrillation (AF) is the most common cardiac arrhythmia. The incidence of AF incr...

Lyme disease presenting with facial palsy and myocarditis mimicking myocardial infarction.

A 45-year-old woman presented with a sudden episode of typical chest pain, radiating to her neck. Th...

Real-Time Multilead Convolutional Neural Network for Myocardial Infarction Detection.

In this paper, a novel algorithm based on a convolutional neural network (CNN) is proposed for myoca...

ECG data compression using a neural network model based on multi-objective optimization.

Electrocardiogram (ECG) data analysis is of great significance to the diagnosis of cardiovascular di...

Localization of Origins of Premature Ventricular Contraction by Means of Convolutional Neural Network From 12-Lead ECG.

OBJECTIVE: This paper proposes a novel method to localize origins of premature ventricular contracti...

A deep convolutional neural network model to classify heartbeats.

The electrocardiogram (ECG) is a standard test used to monitor the activity of the heart. Many cardi...

A Wireless ExG Interface for Patch-Type ECG Holter and EMG-Controlled Robot Hand.

This paper presents a wearable electrophysiological interface with enhanced immunity to motion artif...

Combining Low-dimensional Wavelet Features and Support Vector Machine for Arrhythmia Beat Classification.

Automatic feature extraction and classification are two main tasks in abnormal ECG beat recognition....

Ablation Index and Surround Flow Catheter Irrigation: Impedance-Based Appraisal in Clinical Ablation.

OBJECTIVES: This study sought to assess the impact of ablation power and catheter irrigation during ...

Classification of ECG heartbeats using nonlinear decomposition methods and support vector machine.

Classifying electrocardiogram (ECG) heartbeats for arrhythmic risk prediction is a challenging task ...

What Is High Enough? Elevated NT-pro-BNP in Decompensated Paroxysmal Supraventricular Tachycardia.

Since the late 1980s, elevated atrial natriuretic peptide (ANP) was considered the cause of brisk di...

Premature ventricular contraction detection combining deep neural networks and rules inference.

Premature ventricular contraction (PVC), which is a common form of cardiac arrhythmia caused by ecto...

Performance of Machine Learning Algorithms for Qualitative and Quantitative Prediction Drug Blockade of hERG1 channel.

Drug-induced abnormal heart rhythm known as (TdP) is a potential lethal ventricular tachycardia fou...

Patient-Specific Deep Architectural Model for ECG Classification.

Heartbeat classification is a crucial step for arrhythmia diagnosis during electrocardiographic (ECG...

Radiofrequency Ablation Followed by Percutaneous Ethanol Ablation Leading to Long-Term Remission of Hyperparathyroidism.

A 30-year-old male with cerebral palsy and motor impairment presented with right femur fracture. He ...

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