Skip to Content
Biotechnology

Alexa could spot your cardiac arrest—by listening to your breathing

A new system that listens for a telltale gasping sound could get you vital help in time.
An illustration of an Amazon smart speaker and ECG waves.
An illustration of an Amazon smart speaker and ECG waves.
An illustration of an Amazon smart speaker and ECG waves.Ms. Tech / Amazon

If you’re unlucky enough to have a cardiac arrest, your chances are not good. Of the roughly 400,000 people who experience one every year in the US, less than 6% survive. It is the leading cause of natural deaths. However, the likelihood of survival is much higher if you get help quickly: immediate resuscitation can double or triple your chances.

A new tool that uses the microphone in your smart speaker or smartphone to detect warning signs, and then calls for help on your behalf, could help boost survival rates.

The system, developed by researchers at the University of Washington, uses machine learning to identify the telltale gasping sound (known as agonal breathing) that people make when they’re struggling for air. This is an early warning sign for more than half of all cardiac arrests.

The researchers trained the system using clips of agonal breathing captured from 911 calls made in King County, Washington. They used 729 calls yielding 82 hours’ worth of recordings in total. They then trained it on other sounds you might hear in someone’s room, like snoring or noises associated with sleep apnea, to weed out any false positives.

They used two different sets of recordings: sleep sounds collected by 35 volunteers, and those from 12 patients who were participating in a sleep study because they suffered from snoring and apnea. These latter recordings produced some sounds similar to agonal breathing, helping to refine the tool’s accuracy.

“When we tested it on our system, we found a 0.2% false positive rate in the volunteer group and a 0.1% rate in the sleep study,” says Justin Chan, who led the research.

The system managed to correctly identify agonal breathing in 97% of instances, from up to 20 feet away.

The tool, described in npj Digital Medicine today, is still at the proof-of-concept stage, so it’s many years away from being available to the public, although the researchers plan to commercialize it eventually. “There’s lots of work we’d have to do before we use this at scale,” Chan said.

He also suggested that if it were implemented in real life, it would make sense for the system to emit a 15- or 30-second warning to users that the emergency services are about to be called, so they have the chance to cancel in the event it’s a false alarm. It’s intended to be used in bedrooms, as this is where most cardiac arrests happen inside people’s homes.

There are still several challenges to overcome before the system can be launched, chiefly privacy issues, according to Peter Chai, an assistant professor of emergency medicine at Brigham and Women’s Hospital in Boston.

“There are questions around what you do with ambient noise of others in a room, or if you’re gathering information from a phone’s microphone, or what you do with inadvertent recording,” he says.

Deep Dive

Biotechnology

conceptual illustration of a stork with a baby
conceptual illustration of a stork with a baby

How Silicon Valley hatched a plan to turn blood into human eggs

A well-connected startup company is trying to rewrite the rules of reproduction.

Death and Jeff Bezos
Death and Jeff Bezos

Meet Altos Labs, Silicon Valley’s latest wild bet on living forever

Funders of a deep-pocketed new "rejuvenation" startup are said to include Jeff Bezos and Yuri Milner.

The miracle molecule that could treat brain injuries and boost your fading memory

Discovered more than a decade ago, a remarkable compound shows promise in treating everything from Alzheimer’s to brain injuries—and it just might improve your cognitive abilities.

brain interface with cursor concept
brain interface with cursor concept

Brain implants could be the next computer mouse

What the world’s fastest brain-typist is telling us about the future of computer interfaces.

Stay connected

Illustration by Rose WongIllustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.