Latest AI and machine learning research in arrhythmias for healthcare professionals.
OBJECTIVES: To develop and validate a deep learning (DL) model based on quantitative analysis of con...
Myocardial infarction diagnosis is a common challenge in the emergency department. In managed settin...
BACKGROUND: Brugada syndrome is a potential cause of sudden cardiac death (SCD) and is characterized...
According to the STEMI paradigm, only patients whose ECGs meet STEMI criteria require immediate repe...
. In recent years, deep learning has blossomed in the field of electrocardiography (ECG) processing,...
Automatic detection of arrhythmia based on electrocardiogram (ECG) plays a critical role in early pr...
This work presents an on-chip analog-to-information conversion technique that utilizes analog hyper-...
This paper presents a neuromorphic processing system with a spike-driven spiking neural network (SNN...
Because of the many important anatomical structures located closely together at very small distances...
INTRODUCTION: Renal cell carcinoma (RCC) in solitary kidney (SK) represents a challenging scenario. ...
With the popularity of the wireless body sensor network, real-time and continuous collection of sing...
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...