Sticking it to insomnia: AI-powered forehead patch tracks brain signals to help boost deep sleep
Researchers at Johns Hopkins have developed an AI-powered forehead patch that monitors brain signals to optimize deep sleep through neurostimulation. The device uses machine learning models trained on thousands of sleep recordings to provide clinical-grade sleep tracking in a comfortable, wearable format.
Why it matters
This technology could revolutionize sleep medicine by providing a non-invasive, home-based alternative to traditional, cumbersome polysomnography studies.
edited by Swati Mestri , reviewed by Robert Egan
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Add to Preferred Sources Credit: Polina ⠀ from Pexels A patch the size of a Band-Aid, stuck to your forehead, can now do something no traditional sleep study or fitness tracker can: nudge your brain toward a better night's sleep. William Coon, a sleep scientist at the Johns Hopkins Applied Physics Laboratory, has built a wearable device, meant to be used at home, that listens to brain activity and uses neurostimulation and other techniques to manufacture deep, restorative sleep.
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