Latest AI and machine learning research in arrhythmias for healthcare professionals.
A software platform for AI-ECG algorithm research is designed and implemented to better serve the re...
The majority of studies for automatic epileptic seizure (ictal) detection are based on electroenceph...
ECGs analysis is an important tool in cardiac diagnosis. ECG data also have the potential to be used...
The automatic arrhythmia classification system has made a significant contribution to reducing the m...
Electrocardiography is a very common, non-invasive diagnostic procedure and its interpretation is in...
Electrocardiogram (ECG) signal is one of the most important methods for diagnosing cardiovascular di...
Low-cost wearables with capability to record electrocardiograms (ECG) are becoming increasingly avai...
Cardiovascular disease (CVD) is a serial of diseases with global leading causes of death. Electrocar...
Electrocardiogram (ECG)-based identification systems have been widely studied in the literature. Usu...
BACKGROUND: Delayed diagnosis or misdiagnosis of acute myocardial infarction (AMI) is not unusual in...
AIMS: Congenital long-QT syndromes (cLQTS) or drug-induced long-QT syndromes (diLQTS) can cause tors...
The field of cardiac electrophysiology (EP) had adopted simple artificial intelligence (AI) methodol...
Automatic electrocardiogram (ECG) analysis has been one of the very early use cases for computer ass...
OBJECTIVE: We propose a parallel neural network classification method to improve the performance of ...
Sleep apnea (SA) detection method based on traditional machine learning needs a lot of efforts in fe...
In the recent decade, deep learning, a subset of artificial intelligence and machine learning, has b...
Electrocardiographic (ECG) assessment of patients with suspected heart disease is a bedrock of cardi...
AIM: To discuss ethical issues related to a complex study (PROFID) involving the development of a ne...
AIMS: An artificial intelligence-augmented electrocardiogram (AI-ECG) algorithm can identify left ve...