Latest AI and machine learning research in arrhythmias for healthcare professionals.
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...
The electrical activity produced during the heartbeat is measured and recorded by an ECG. Cardiologi...
Myocardial infarction (MI) results in heart muscle injury due to receiving insufficient blood flow. ...
According to the World Health Organization (WHO) report, heart disease is spreading throughout the w...
Cardiac arrhythmias pose a significant danger to human life; therefore, it is of utmost importance t...
The spatial QRS-T angle is a promising health indicator for risk stratification of sudden cardiac de...
OBJECTIVE: Measurement and monitoring of blood pressure are of great importance for preventing disea...
. Automatic electrocardiogram (ECG) interpretation based on deep learning methods is attracting incr...
Arrhythmias are anomalies in the heartbeat rhythm that occur occasionally in people's lives. These a...
Predicting the incidence of complex chronic conditions such as heart failure is challenging. Deep le...
Artificial intelligence (AI) and health sensory data-fusion hold the potential to automate many labo...