Electrocardiogram (ECG) signal compression techniques are essential for the efficient storage, transmission and real‐time processing of cardiac data. Advanced methods utilising discrete wavelet ...
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 ...
SANTA CLARA, Calif.--(BUSINESS WIRE)--HeartBeam, Inc. (NASDAQ: BEAT), a cardiac technology company that has developed the first and only 3D-vector ECG platform for heart attack detection anytime, ...
An artificial intelligence (AI) algorithm has shown it is able to distinguish between healthy White and Black people using ...
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 ...
Toronto Heart Centre to conduct comparative testing of CardioYield™ for enhanced Holter ECG analysis and reporting efficiency. Clinical Workflow Impact: Study to measure time savings, throughput ...
A new algorithm developed by researchers at the Mayo Clinic can effectively detect patients with a dangerous heart dysfunction using data gathered by an Apple Watch. A large trial is now underway ...
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) ...
Electrocardiogram (ECG) signal compression techniques have advanced considerably, driven by the increasing demands of telemedicine and remote patient monitoring. These methods are designed to reduce ...
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