NSF’s Discovery Files Podcast

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Researchers at the University of Washington have developed a new tool to monitor people for cardiac arrest while they're asleep without touching them. The tool has the ability to scan sound recordings for signs of agonal breathing using a machine learning algorithm, which potentially could be installed in smartphones or smart speakers like Amazon Alexa. Agonal breathing, a sign of cardiac arrest, is when people suddenly become unresponsive and either stop breathing or gasp for air.
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NSF’s Discovery Files PodcastBy U.S. National Science Foundation

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