A fast response with cardiopulmonary resuscitation (CPR) for cardiac arrest victims can save their lives, but older adults often are alone in their home or a bedroom when symptoms strike. Researchers at the University of Washington (UW) have developed a machine learning-based system that listens to ambient audio via dedicated smart speakers or smartphones for agonal breathing, the distinctive sound that a person in cardiac arrest makes.