Latest AI and machine learning research in arrhythmias for healthcare professionals.
Laser osteotomy promises precise cutting and minor bone tissue damage. We proposed Optical Coherence...
This work presents an ECG classifier for variable leads as a contribution to the Computing in Cardio...
As the number of people suffering from cardiovascular diseases increases every year, it becomes esse...
Left ventricular dilatation (LVD) and left ventricular hypertrophy (LVH) are risk factors for heart ...
A prediction algorithm for hypoglycemic events is proposed using glucose levels and electrocardiogra...
The level of patient's illness is determined by diagnosing the problem through different methods lik...
Current guidelines on atrial fibrillation (AF) emphasized that radiofrequency catheter ablation (RFC...
We describe an automatic classifier of arrhythmias based on 12-lead and reduced-lead electrocardiogr...
Automated electrocardiogram classification techniques play an important role in assisting physicians...
An electrocardiogram (ECG) is an essential piece of medical equipment that helps diagnose various he...
Cardiovascular diseases, like arrhythmia, as the leading causes of death in the world, can be automa...
In recent years, cardiovascular-related diseases have become the "number one killer" threatening hum...
BACKGROUND: The application of artificial intelligence to interpret the electrocardiogram (ECG) has ...
We have developed deep learning models for automatic identification of the maternal heart rate (MHR)...
INTRODUCTION: With the widespread availability of portable electrocardiogram (ECG) devices, there wi...
To study the effect of computerized tomography (CT) images based on deep learning algorithms on the ...
Sleep is one of the most important human physiological activities, and plays an essential role in hu...
With the improvement of living standards, heart disease has become one of the common diseases that t...
The automated analysis of electrocardiogram (ECG) signals plays a crucial role in the early diagnosi...
Automated ECG-based arrhythmia detection is critical for early cardiac disease prevention and diagno...
To develop deep learning models for predicting Interoperative hypotension (IOH) using waveforms from...