Skip to main content
  1. Home
  2. Emerging Tech
  3. Legacy Archives

Smartphone earbuds can identify health issues by listening to you breathe as you sleep

Add as a preferred source on Google

Soon you won’t need a smart wristband, sleeping app, special bedside light or one of many other devices built to help you track and improve your sleep each night. A team of researchers has developed a way to use a pair of earphones with an in-line microphone plugged into a smartphone to track breathing patterns and detect sleep disorders.

By plugging a pair of microphone-equipped earbuds into an iPhone, researchers from Stevens Institute of Technology and Florida State University were able to track the breathing habits of six participants in a six-month study. The participants didn’t have to actually wear the earbuds as they slept – even when the earbuds were placed on a table beside a participant’s bed, the in-line microphone was able to monitor breathing “to within half a breath per minute of what could be recorded with a chest-worn respiration monitor and a microphone clipped to participants’ collars,” according to MIT Technology Review.

Recommended Videos

Monitoring someone’s breathing patterns could help identify sleep-related health problems (e.g., sleep apnea), something other forms of sleep monitoring technology can’t do. It’s also an affordable approach, especially for those who already have a pair of earbuds with an in-line microphone.

The team of researchers hopes to release an app for this “noninvasive fine-grained sleep monitoring” next year.

Jason Hahn
Former Contributor
Jason Hahn is a part-time freelance writer based in New Jersey. He earned his master's degree in journalism at Northwestern…
The Apple Car may be dead, but it became the foundation of Apple Intelligence
A decade of work on a canceled car project reportedly laid the groundwork for Apple Intelligence.
Apple Intelligence in Apple Car

The Apple Car may have never left the garage, but it apparently gave birth to Apple's AI ambitions. According to Bloomberg's Mark Gurman, Apple's canceled autonomous vehicle project, one that consumed more than a decade of work and over $10 billion before being scrapped in 2024, ended up laying the technological foundation for Apple Intelligence. In a rather ironic twist, one of Apple's most expensive failures may also become one of its most important long-term investments.

The Apple Car forced Apple to think like an AI company

Read more
Researchers hid a prompt injection inside a PNG, and AI fell for it
Hacker

AI coding assistants like Claude are becoming every developer's favorite coworker. They can review code, explain confusing functions, and even write entire features with a single prompt. But new research suggests that this growing trust could also become their biggest weakness.

A team of security researchers (professor Sudipta Chattopadhyay and researcher Murali Ediga) has demonstrated an unusual attack that doesn't target the AI model directly. Instead, it targets what the AI doesn't pay enough attention to during code reviews. Rather than hiding malicious instructions in lines of code, the researchers tucked them inside an image file. Since many AI review tools treat images as decorative assets rather than as something worth inspecting, the pull request can appear perfectly harmless and sail through the review.

Read more
AI has already fallen into the wrong hands and they’re using it to make bombs
Logo, Text

Artificial intelligence has quickly become the go-to tool for everything from writing emails and summarizing meetings to helping students study or developers debug code. But the same technology that saves people time can also be misused, and a new report suggests that terrorist organizations are finding ways to do exactly that.

According to a research paper shared with The New York Times ahead of its publication, researchers found evidence that members of Boko Haram have been using popular AI chatbots to support both day-to-day activities and combat-related tasks. Interviews with 27 former members conducted in Nigeria over the past two years suggest that tools such as ChatGPT, Gemini, Claude, Grok, Meta AI, and DeepSeek were used to gather technical information, troubleshoot weapons, and even assist with planning attacks.

Read more