Latest AI and machine learning research in myocardial infarction for healthcare professionals.
The non-invasive electrocardiogram (ECG) signals are useful in heart condition assessment and are fo...
Obstructive sleep apnea (OSA) syndrome is a common sleep disorder and a key cause of cardiovascular ...
There is increasing focus on applying deep learning methods to electrocardiograms (ECGs), with recen...
The utilization of unlabeled electrocardiogram (ECG) data is always a critical topic in artificial i...
Heart failure (HF) is a serious condition in which the heart fails to supply the body with enough ox...
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...
Our aim was to identify and quantify high coronary artery calcium (CAC) with deep learning (DL)-powe...
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...
With the popularity of the wireless body sensor network, real-time and continuous collection of sing...
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...
Diagnosis of cardiovascular diseases is an urgent task because they are the main cause of death for ...
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...
We describe an automatic classifier of arrhythmias based on 12-lead and reduced-lead electrocardiogr...