Latest AI and machine learning research in arrhythmias for healthcare professionals.
Diagnosing COVID-19 accurately and rapidly is vital to control its quick spread, lessen lockdown res...
BACKGROUND: Congenital long QT syndrome (LQTS) is a rare heart disease caused by various underlying ...
The existing electrocardiogram (ECG) biometrics do not perform well when ECG changes after the enrol...
Myocardial infarction (MI) accounts for a high number of deaths globally. In acute MI, accurate elec...
An automatic assessment system for physical telerehabilitation could reduce the time and cost of tre...
Modality translation grants diagnostic value to wearable devices by translating signals collected fr...
MOTIVATION: Training domain-specific named entity recognition (NER) models requires high quality han...
BACKGROUND: Several algorithms have been proposed for differentiating the right and left outflow tra...
The objective of this work is to develop a fusion artificial intelligence (AI) model that combines p...
Heart disease is one of the significant challenges in today's world and one of the leading causes of...
Electrocardiogram signal (ECG) is considered a significant biological signal employed to diagnose he...
BACKGROUND AND OBJECTIVE: The automatic recognition of myocardial infarction (MI) by artificial inte...
This study is aimed at analyzing the important role of deep learning-based electrocardiograph (ECG) ...
Premature ventricular contraction (PVC) is one of the common ventricular arrhythmias, which may caus...
Millions of people around the world are affected by arrhythmias, which are abnormal activities of th...
PURPOSE: Surface electromyography (sEMG) is vulnerable to environmental interference, low recognitio...
OBJECTIVES: Sleep apnea is the most common sleep disorder that leads to serious health complications...
Physicians manually interpret an electrocardiogram (ECG) signal morphology in routine clinical pract...
In this paper, we propose an end-to-end deep learning architecture, referred as MCG-Net, integrating...
Sudden cardiac death (SCD) accounts for approximately 15%-20% of all deaths worldwide, the causes of...
In the past decade, deep learning models have been applied to bio-sensors used in a body sensor netw...