Latest AI and machine learning research in arrhythmias for healthcare professionals.
Existing driving fatigue detection methods rarely consider how to effectively fuse the advantages of...
BACKGROUND: Information on electrocardiogram (ECG) has not been quantified in obstructive coronary a...
An electrocardiogram (ECG) plays a crucial role in identifying and classifying cardiac arrhythmia. T...
BACKGROUND: Artificial intelligence (AI) models applied to 12-lead ECG waveforms can predict atrial ...
INTRODUCTION: The advancement of artificial intelligence (AI) has aided clinicians in the interpreta...
In medicine, confounding variables in a generalized linear model are often adjusted; however, these ...
AI techniques have recently been put under the spotlight for analyzing electrocardiograms (ECGs). Ho...
With an aging population and increased chronic diseases, remote health monitoring has become critica...
This study proposes a multi-objective, non-dominated, imperialist competitive algorithm (NSICA) to s...
OBJECTIVE: Robot-assisted (RA) stereotactic MRI-guided laser ablation has been reported to be a safe...
Congenital long QT syndrome (LQTS) is characterized by a prolonged QT-interval on an electrocardiogr...
Cardiac monitoring can be performed by means of an accelerometer attached to a subject's chest, whic...
An increasing number of patients and a lack of awareness about obstructive sleep apnea is a point of...
This work presents an artificial intelligence (AI) framework for real-time, personalized sepsis pred...
In recent years, cardiovascular diseases (CVDs) have become one of the leading causes of mortality g...
This study aims to present a novel deep learning algorithm for a sliding shock advisory decision dur...
Immediate access to the patient in crisis situations, such as cardiac arrest during robotic surgery,...
Cardiac arrhythmia is a deadly disease that threatens the lives of millions of people, which shows t...
Electrical data could be a new source of big-data for training artificial intelligence (AI) for drug...
Personalized, image-based computational heart modelling is a powerful technology that can be used to...
Using ECG signals captured by wearable devices for emotion recognition is a feasible solution. We pr...