Latest AI and machine learning research in myocardial infarction for healthcare professionals.
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...
An electrocardiogram (ECG) is an essential piece of medical equipment that helps diagnose various he...
The high number of fatal crashes caused by driver drowsiness highlights the need for developing reli...
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...
Cardiovascular diseases (CVDs) are a prominent cause of death globally. The introduction of medical ...
The performance and clinical implications of the deep learning aided algorithm using electrocardiogr...
With the improvement of living standards, heart disease has become one of the common diseases that t...
Sleep is one of the most important human physiological activities, and plays an essential role in hu...
The automated analysis of electrocardiogram (ECG) signals plays a crucial role in the early diagnosi...