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Researchers achieve contactless electrocardiogram monitoring

Medical Xpress - ECG

Chen Yan and researcher Sun Qibin from the University of Science and Technology of China (USTC) achieved contactless electrocardiogram (ECG) monitoring through a millimeter-wave radar system. Recently, a team led by Prof. Their work was published in IEEE Transactions on Mobile Computing and reported by IEEE Spectrum.

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AliveCor Announces Dual FDA Clearance of AI Technology That Delivers 35 Cardiac Determinations and First-of-its-Kind Kardia 12L ECG System

DAIC

Food and Drug Administration ( FDA ) clearance and commercial launch of KAI 12L AI technology and the Kardia 12L ECG System. The Kardia 12L ECG System, featuring a game-changing patented technology, is the world’s first AI-powered handheld 12-lead electrocardiogram ( ECG ) system with a unique single-cable design.

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New AI tool simplifies heart monitoring: Fewer leads, same accuracy

Science Daily - Heart Disease

To diagnose heart conditions including heart attacks and heart rhythm disturbances, clinicians typically rely on 12-lead electrocardiograms (ECGs) -- complex arrangements of electrodes and wires placed around the chest and limbs to detect the heart's electrical activity.

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iRhythm Technologies Receives European Union’s CE Marking Under Medical Device Regulation (EU MDR) for its Zio monitor and ZEUS System

DAIC

milla1cf Wed, 01/03/2024 - 12:09 January 3, 2024 — iRhythm Technologies, Inc. , The EU MDR is arguably one of the most stringent regulatory frameworks for product approvals globally that ensures medical devices meet the rigorous standards for healthcare technologies,” said Quentin Blackford, iRhythm President and Chief Executive Officer.

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Cardiology collaboration advances machine learning predictions for AFib after stroke

Medical Xpress - Cardiology

Researchers at Penn State are using machine learning and existing electrocardiogram (ECG) data to help doctors make more accurate predictions.

AFIB 105
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Wearable technology continuously monitors heart-rate recovery to predict risk

Medical Xpress - Cardiology

In a new study, scientists at the University of Illinois Urbana-Champaign used a "smart shirt" equipped with an electrocardiogram to track participants' heart-rate recovery after exercise and developed a tool for analyzing the data to predict those at higher or lower risk of heart-related ailments.

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Spotlight on early detection of three heart diseases using ECG-AI

Medical Xpress - Cardiology

Now, researchers and clinicians at Mayo Clinic are using artificial intelligence (AI) technology to flag heart problems earlier, boosting the abilities of a diagnostic test that has been around for over a century—the electrocardiogram (ECG).