Psychophysiological research integrating heart rate variability (HRV) has increased during
the last two decades, particularly given the fact that HRV is able to index cardiac vagal tone …

The J-wave syndromes (JWSs), consisting of the Brugada syndrome (BrS) and early
repolarization syndrome (ERS), have captured the interest of the cardiology community over …

Objective: Vast 12-lead ECGs repositories provide opportunities to develop new machine
learning approaches for creating accurate and automatic diagnostic systems for cardiac …

Background Older patients with severe aortic stenosis (AS) are increasingly identified as
having cardiac amyloidosis (CA). It is unknown whether concomitant AS-CA has worse …

The role of automatic electrocardiogram (ECG) analysis in clinical practice is limited by the
accuracy of existing models. Deep Neural Networks (DNNs) are models composed of …

This newly inaugurated research database for 12-lead electrocardiogram signals was
created under the auspices of Chapman University and Shaoxing People's Hospital …

An electrocardiograph (ECG) is employed as a primary tool for diagnosing cardiovascular
diseases (CVDs). ECG signals provide a framework to probe the underlying properties and …

Computerized interpretation of the electrocardiogram (CIE) was introduced to improve the
correct interpretation of the electrocardiogram (ECG), facilitating health care decision …

With regard to a literature search for this revision, no specific strategy or formal data quality
assessment was used. Each of the 15 members of the writing group has specific expertise …

Ambulatory ECG (AECG) is very commonly employed in a variety of clinical contexts to
detect cardiac arrhythmias and/or arrhythmia patterns which are not readily obtained from …