Skip to Content

AT&T Labs Builds an Asthma-Trigger Detection Device

The chemical-sniffing setup will send data to the Web so doctors and patients can get a better sense of what causes attacks.
December 21, 2012

One out of every 12 people in the U.S. have asthma, and the number of people diagnosed with the chronic and sometimes fatal disease grows each year, according to the Centers for Disease Control and Prevention. Asthma attacks can be triggered by a variety of inhaled substances, from natural sources including pollen and pet dander as well as chemical compounds such as household cleaners and air pollution. To help people with asthma identify and avoid the chemical irritants that cause asthma attacks, AT&T labs researchers are developing a sensor that can sniff the air for known asthma triggers.

“Everybody’s triggers are different,” says Bob Miller, head of communications technology research at AT&T Labs in Florham Park, New Jersey. Miller’s group has built a prototype of a portable sensor that can detect volatile organic compounds, or VOCs, that may be found in homes. Carpets, fragrances, smoke, and cleaners can all emit asthma-inducing VOCs. The room-monitoring device will wirelessly connect to online health networks where doctors and patients can look for clues in data collected over time.

Other groups are also tapping into mobile technology to improve the health of people with asthma. For example, Madison, Wisconsin-based Asthmapolis has developed a sensor that attaches to inhalers that track whether asthma patients are taking their medication. If they miss one, a reminder will be sent to their phone. That data can also be sent to a server where a doctor can view it.

In addition to helping asthma patients and their doctors identify indoor triggers, the AT&T device could also warn people of high levels of a known trigger. “You might be able to go outside and get some fresh air,” says Miller. Or, using the system’s Zigbee wireless connectivity, which can link together many devices onto one network, the AT&T sensor system could “turn on the blower in your furnace to clear out the air.”

Keep Reading

Most Popular

Large language models can do jaw-dropping things. But nobody knows exactly why.

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.

The problem with plug-in hybrids? Their drivers.

Plug-in hybrids are often sold as a transition to EVs, but new data from Europe shows we’re still underestimating the emissions they produce.

Google DeepMind’s new generative model makes Super Mario–like games from scratch

Genie learns how to control games by watching hours and hours of video. It could help train next-gen robots too.

How scientists traced a mysterious covid case back to six toilets

When wastewater surveillance turns into a hunt for a single infected individual, the ethics get tricky.

Stay connected

Illustration 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.