Latest AI and machine learning research in arrhythmias for healthcare professionals.
Low-cost wearables with capability to record electrocardiograms (ECG) are becoming increasingly avai...
Electrocardiogram (ECG) signal is one of the most important methods for diagnosing cardiovascular di...
Electrocardiography is a very common, non-invasive diagnostic procedure and its interpretation is in...
The automatic arrhythmia classification system has made a significant contribution to reducing the m...
ECGs analysis is an important tool in cardiac diagnosis. ECG data also have the potential to be used...
The majority of studies for automatic epileptic seizure (ictal) detection are based on electroenceph...
BACKGROUND: Delayed diagnosis or misdiagnosis of acute myocardial infarction (AMI) is not unusual in...
The field of cardiac electrophysiology (EP) had adopted simple artificial intelligence (AI) methodol...
AIMS: Congenital long-QT syndromes (cLQTS) or drug-induced long-QT syndromes (diLQTS) can cause tors...
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...
Despite their great promise, artificial intelligence (AI) systems have yet to become ubiquitous in t...
The main goal of this project was to define and evaluate a new unsupervised deep learning approach t...
Although heart failure with reduced ejection fraction (HFrEF) is a common clinical syndrome and can ...
STUDY OBJECTIVES: The frequency of cortical arousals is an indicator of sleep quality. Additionally,...
BACKGROUND: Life-threatening arrhythmias resulting from genetic mutations are often missed in curren...