Latest AI and machine learning research in arrhythmias for healthcare professionals.
Rapid diagnosis of myocardial infarction (MI) using electrocardiography (ECG) is the cornerstone of ...
BACKGROUND: An artificial intelligence-augmented electrocardiogram (AI-ECG) can identify left ventri...
Electrocardiography (ECG) is essential in many heart diseases. However, some ECGs are recorded by pa...
With the increasing emphasis on remote electrocardiogram (ECG) monitoring, a variety of wearable rem...
Current wearable sensors are fabricated with substrates, which limits the comfort, flexibility, stre...
BACKGROUND: Pneumoperitoneum to maintain a constant gas flow to assist various surgeries is known to...
OBJECTIVE: Optimizing timing of defibrillation by evaluating the likelihood of a successful outcome ...
BACKGROUND: Non-pulmonary vein (NPV) trigger has been reported as an important predictor of recurren...
BACKGROUND: In-hospital cardiac arrest is a major burden in health care. Although several track-and-...
PURPOSE: The main purpose of this study is to construct a system to track the tumor position during ...
Effective patient care mandates rapid, yet accurate, diagnosis. With the abundance of non-invasive d...
A systematic review and meta-analysis of pain response after radiofrequency (RF) ablation over time ...
Blood pressure monitoring is one avenue to monitor people's health conditions. Early detection of ab...
Effective monitoring of heart patients according to heart signals can save a huge amount of life. In...
Coronavirus disease 2019 (COVID-19) can result in deterioration of cardiac function, which is associ...
Using multimodal signals to solve the problem of emotion recognition is one of the emerging trends i...
BACKGROUND: Phospholamban (PLN) p.Arg14del mutation carriers are known to develop dilated and/or arr...
BACKGROUND AND OBJECTIVE: Cardiac arrhythmia, which is an abnormal heart rhythm, is a common clinica...
INTRODUCTION: Electrode misplacement and interchange errors are known problems when recording the 12...
Novel trends in affective computing are based on reliable sources of physiological signals such as E...
Prompt identification of acute coronary syndrome is a challenge in clinical practice. The 12-lead el...