Recently developed artificial intelligence software can determine whether firefighters may be about to experience a potentially fatal cardiac event.
That’s what a team of researchers from the National Institute of Standards and Technology, the University of Rochester, and Google contend in a report that details their machine-learning model.
Using AI technology and existing electrocardiogram data for 112 firefighters, the researchers created the Heart Health Monitoring, or H2M, model.
Individual heartbeats from the EKGs were classified either as normal or abnormal, with the latter possibly indicating irregular heart rhythms. Such rhythms can prompt the heart to stop pumping blood, often because of a heart attack, and trigger sudden cardiac arrest – the leading cause of on-the-job death among firefighters.