The electrocardiogram (ECG) remains a cornerstone in cardiovascular diagnostics, yet its clinical utility is often compromised by signal distortions introduced during acquisition. Contemporary ...

Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...

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

Learn how ECG noise filtering that adapts to noise type improved QT and QRS accuracy and supports more reliable cardiac ...

Medical Advisory Board will guide clinical studies, regulatory strategy, and global adoption of AIML's AI‑driven ECG signal‑processing solutions MaxYield™ and CardioYield™ across wearables and ...

Peter Kendall, Director, President & Chief Commercialization Officer, AIML"These filings represent more than technical protection-they signal our readiness to commercialize at scale. With a defensible ...

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 ...

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) ...

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 ...

A dynamic ECG reporting engine that supports clinical workflows with customizable components and adaptable output structures These patents strengthen AIML's position in the growing field of ...