Latest AI and machine learning research in arrhythmias for healthcare professionals.
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...
The biometric identification method is a current research hotspot in the pattern recognition field. ...
Differentiating between shockable and non-shockable Electrocardiogram (ECG) signals would increase t...
With the advancement of machine leaning technologies, Deep Neural Networks (DNNs) have been utilized...
The importance of an embedded wearable device with automatic detection and alarming cannot be overst...
This paper proposes a representation learning framework HE-LSTM model for heterogeneous temporal eve...
Cardiovascular disorders, including atrial fibrillation (AF) and congestive heart failure (CHF), are...
Accurately inferring underlying electrophysiological (EP) tissue properties from action potential re...
To evaluate the performance of a deep convolutional neural network (DCNN) in detecting local tumor p...
Heart disease is a common disease affecting human health. Electrocardiogram (ECG) classification is ...
BACKGROUND: Current ablation therapy for atrial fibrillation is suboptimal, and long-term response i...
The heart is one of the human body's vital organs. An electrocardiogram (ECG) provides continuous tr...
This study was designed to test if heart rate variability (HRV) data from preterm and full-term infa...
To assess the utility of machine learning (ML) algorithms in predicting clinically relevant atrial h...
Protein kinase-inhibitor interactions are key to the phosphorylation of proteins involved in cell pr...
Coronavirus Disease 2019 (COVID-19) is extremely infectious and rapidly spreading around the globe. ...
The accurate and speedy detection of COVID-19 is essential to avert the fast propagation of the viru...
BACKGROUND: Most patients who have heart failure with a reduced ejection fraction, when left ventric...
Biometric identification systems are a fundamental building block of modern security. However, conve...
PURPOSE: Wearable devices in the scenario of connected home healthcare integrated with artificial in...