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Health Tech


TO GET BETTER HEART DATA FROM WEARABLES, RESEARCHERS TRAIN AI TO SEPARATE THE
SIGNAL FROM THE NOISE

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By Lizzy Lawrence July 19, 2023

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As wearable health devices grow more popular in the U.S., there’s a growing
opportunity to track the broader adult population’s heart health. But it’s much
harder for an Apple Watch to accurately detect the heart’s electrical signals
and rhythm than a set of hospital-grade electrodes. Its readings are messier,
often because of poor contact with the skin.

A team of Yale researchers published a paper in Nature this month exploring a
potential solution: an artificial intelligence algorithm trained on noisy
electrocardiograms, electrical pulse recordings that illustrate heart function.
Starting an algorithm off with this data could help it more easily adapt to the
reality of imperfect wearable sensors.

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“You could say I’m going to find the clean, pristine-looking ECG that looks a
lot more like the ECG done in a clinical setting, and only use those for
diagnostics,” said study author Rohan Khera, a cardiologist and data scientist
at Yale. “But that’s not the reality. Clinical ECGs are not obtained on
wristwatches.”

Unlock this article — and get additional analysis of the technologies disrupting
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ABOUT THE AUTHOR REPRINTS


LIZZY LAWRENCE

Medical Devices Reporter

Lizzy Lawrence is a medical devices reporter at STAT.


lizzy.lawrence@statnews.com

@LizzyLaw_


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