With heart rate monitors now standard in smartwatches and fitness trackers, electrocardiograms (ECG/EKG) have rapidly become a common feature in health wearables. The technology aims to assist ...

Indigenous people have a far higher risk of early stroke than non-Indigenous people. It’s often caused by atrial fibrillation ...

Smartphone-based heart rhythm monitoring from home can reduce same-day cancellations and help save significant healthcare ...

Apple Watch introduced electrocardiogram (ECG) heart measurements in 2018 with Series 4, allowing users to easily monitor their heart rhythm. Available on compatible Apple Watch models, including ...

Noninvasive mapping with hundreds of body surface electrodes transforms the inverse ECG problem, letting AI and models infer intracardiac activation without catheter insertion.

Millions of people worldwide are living with undiagnosed heart rhythm disorders that can lead to stroke, heart failure or ...

Atrial fibrillation is a cardiac arrhythmia in which the upper chambers of the heart the atria beat irregularly and, often, rapidly. The condition occurs as a consequence of uncoordinated electrical ...

The QT interval is the time from the beginning of the QRS complex, representing ventricular depolarization, to the end of the T wave, resulting from ventricular repolarization. The normal QT interval ...

A-fib with RVR refers to atrial fibrillation with a rapid heart rate, or rapid ventricular response. RVR is a complication of A-fib that disrupts blood supply to the body and can involve chest pain, ...

Atrial fibrillation (AFib) symptoms like palpitations, dizziness, sweating, and shortness of breath may occur or worsen at night. Sleep is a well-known trigger for AFib episodes. Sleep position, sleep ...

You might love the motivating tempo for workouts or the cadent call for calm that a smartwatch heart rate monitor provides. But when it’s time for an upgrade, what ...

Background Artificial intelligence ECG (AI-ECG) models can predict cardiovascular outcomes, but their clinical adoption is limited by restricted access to training data and uncertain generalisability.