Multimedia Gallery
Heartspeakers
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.
Credit: National Science Foundation/Karson Productions
Images and other media in the National Science Foundation Multimedia Gallery are available for use in print and electronic material by NSF employees, members of the media, university staff, teachers and the general public. All media in the gallery are intended for personal, educational and nonprofit/non-commercial use only.
Images credited to the National Science Foundation, a federal agency, are in the public domain. The images were created by employees of the United States Government as part of their official duties or prepared by contractors as "works for hire" for NSF. You may freely use NSF-credited images and, at your discretion, credit NSF with a "Courtesy: National Science Foundation" notation.
Additional information about general usage can be found in Conditions.