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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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Researchers develop recyclable, fully biodegradable ECG patch

Medical Xpress - ECG

VTT Technical Research Centre of Finland has developed a new sustainable electrocardiogram (ECG, also known as EKG) patch that is fully recyclable and made of biomaterials. The device is modular, so electronic components can be easily removed from the disposable patch and used again.

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Clinical Research Shows AI-enabled Digital Stethoscope can Detect Pregnancy-related Heart Disease

DAIC

Researchers used an AI-enabled digital stethoscope that captures electrocardiogram ( ECG ) data and heart sounds to identify twice as many cases of peripartum cardiomyopathy as compared to regular care, according to a news release from the American Heart Association.

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ECG tests may someday be used by AI model to detect premature aging and cognitive decline, say researchers

Medical Xpress - Cardiology

Electrocardiogram tests may someday be used with an artificial intelligence (AI) model to detect premature aging and cognitive decline, according to a preliminary study presented at the American Stroke Association's International Stroke Conference 2025, held in Los Angeles, Feb. 57, 2025.

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Automatic detection of cardiac conditions from photos of electrocardiogram captured by smartphones

Heart BMJ

Background Researchers have developed machine learning-based ECG diagnostic algorithms that match or even surpass cardiologist level of performance. However, most of them cannot be used in real-world, as older generation ECG machines do not permit installation of new algorithms.

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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.

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Researchers use new deep learning approach to enable analysis of electrocardiograms as language

Medical Xpress - ECG

Mount Sinai researchers have developed an innovative artificial intelligence (AI) model for electrocardiogram (ECG) analysis that allows for the interpretation of ECGs as language.