Latest AI and machine learning research in arrhythmias for healthcare professionals.
Artificial intelligence-enhanced electrocardiography (AI-ECG) can identify hypertrophic cardiomyopat...
BACKGROUND: Predicting the clinical trajectory of individual patients with implantable cardioverter-...
Currently, teleoperated robots, with the operator's input, can fully perceive unknown factors in a c...
The current investigation proposes a novel hybrid methodology for the diagnosis of the foot fracture...
In the era of Industry 4.0, the study of Human-Robot Collaboration (HRC) in advancing modern manufac...
BACKGROUND: Approximately 20 % of emergency department (ED) visits involve cardiovascular symptoms. ...
BACKGROUND: Subtle, prognostically important ECG features may not be apparent to physicians. In the ...
The electrocardiogram (ECG) stands out as one of the most frequently used medical tests, playing a c...
Binarized convolutional neural networks (bCNNs) are favored for the design of low-storage, low-power...
BackgroundDeep neural networks (DNNs) have recently been significantly applied to automatic arrhythm...
BackgroundPoorly regulated and insufficiently maintained medical devices (MDs) carry high risk on sa...
Cardiovascular diseases are a cause of death making it crucial to accurately diagnose them. Electroc...
Wearable Internet of Things (IoT) devices are gaining ground for continuous physiological data acqui...
In response to increasing data privacy regulations, this work examines the use of federated learning...
BACKGROUND: Early detection of left and right ventricular systolic dysfunction (LVSD and RVSD respec...
Left ventricular (LV) global longitudinal strain (LVGLS) is versatile; however, it is difficult to o...
The classification of ECG signals is a critical process because it guides the diagnosis of the prope...
Coronary artery disease (CAD) is an irreversible and fatal disease. It necessitates timely and preci...
Noise detection in ambulatory electrocardiography is investigated as a machine learning binary class...
Traditionally, machine learning-based clinical prediction models have been trained and evaluated on ...
Awareness and early identification of hypertension is crucial in reducing the burden of cardiovascul...