Electrocardiogram (ECG) signal compression techniques are essential for the efficient storage, transmission and real‐time processing of cardiac data. Advanced methods utilising discrete wavelet ...

Collaboration enables deployment of MaxYield™ and CardioYield™ into third-party health systems and clinic sites This pilot expands the Movesense collaboration to scale low-cost, AI-powered 1-lead ECG ...

Please provide your email address to receive an email when new articles are posted on . Algorithms to improve ECG interpretability received FDA clearance. The solution is designed to reduce noise ...

Cardiovascular diseases remain the leading global cause of mortality, claiming nearly 18 million lives each year.

Through a deep-learning model, researchers have shown that ordinary ECG images can be leveraged to identify patients with an LV ejection fraction below 40%. Their approach also appears able to ...

The electrocardiogram (ECG) is used to diagnose and monitor a multitude of conditions affecting the heart. More than just a measure of pulse rate, the ECG reveals the complex electrical activity of ...

Analog Devices is aiming at wearable patient monitoring devices with an analogue front-end for four vital signs: electrocardiogram, heart rate, blood-oxygen saturation and respiration rate. The chip, ...

Sudden cardiac events (SCEs) are the leading cause of line-of-duty deaths (LODDs) among firefighters in the United States, so it is obvious why there is such an appeal for electrocardiogram (ECG) ...

Samsung Galaxy smartwatches could benefit from continuous monitoring for heart conditions, judging by a new patent filing from the tech giant. While current devices like the Galaxy Watch 6 enable ...