Latest AI and machine learning research in arrhythmias for healthcare professionals.
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...
An increasing number of patients and a lack of awareness about obstructive sleep apnea is a point of...
Cardiac monitoring can be performed by means of an accelerometer attached to a subject's chest, whic...
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,...
Electrical data could be a new source of big-data for training artificial intelligence (AI) for drug...
Cardiac arrhythmia is a deadly disease that threatens the lives of millions of people, which shows t...
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...
Electrocardiograms (EKG) form the backbone of all cardiovascular diagnosis, treatment and follow up....
BACKGROUND AND OBJECTIVES: Arrhythmia classification based on electrocardiograms (ECG) can enhance c...
Frequent cortical arousal is associated with cardiovascular dysfunction among people with sleep-diso...
Noise and artifacts affect strongly the quality of the electrocardiogram (ECG) in long-term ECG moni...
INTRODUCTION: Pulmonary embolism (PE) is a life-threatening condition, in which diagnostic uncertain...
BACKGROUND: Heart rate variability (HRV) analysis computed on R-R interval series of ECG records wit...