Copyright Digital Trends
What’s happened? A team at the University of Massachusetts Amherst has developed an app called BIDSleep that transforms the Apple Watch into a research-grade sleep monitoring device. Built under the direction of Joyita Dutta’s Biomedical Imaging & Data Science Lab, the app combines heart-rate and motion data collected from the wrist with AI models to classify sleep stages. What’s interesting is that it reportedly produced results closest to the gold standard EEG-based sleep staging compared with other approaches. The app uses instantaneous heart rate and motion signals to infer which sleep stage the wearer is in (light, deep, REM). In benchmark testing, BIDSleep achieved ~71 % overall accuracy in sleep-stage classification, outperforming many standard models. The researchers highlight the value of a wrist-worn device for multi-day, real-world tracking, unlike traditional one-night lab tests. Why this is important: Sleep is increasingly recognised as a key health parameter, which is also linked to cognitive decline, cardiovascular disease, and overall wellness. Having a widely-worn device like the Apple Watch approaches research-level sleep staging, means more people can be monitored accurately outside the lab. Earlier lab-based EEG systems were costly, complex, and typically limited to one-night snapshots. With apps like BIDSleep, researchers (and potentially clinicians) could track sleep patterns across many nights, in realistic settings. As a recent report for the American Heart Association noted, wearable sleep data may help flag heart-related risk earlier. Recommended Videos Long story short, if your watch can reliably tell when you’re in deep sleep or REM, it becomes a meaningful health tool, not just a step counter or a simple sleep tracker. Why should I care? Sleep isn’t just about feeling rested. In fact, poor sleep quality is tied to heart disease, memory issues, mood disorders, and long-term cognitive decline. If a device as common as the Apple Watch inches closer to medical-grade sleep analysis, it could make early-stage detection far more accessible. Simply put, the tech many people already own could soon help surface meaningful health insights previously locked inside a clinical sleep lab. Instead of just showing “hours asleep”, the Watch could report deep/REM sleep trends that actually matter to doctors. For anyone dealing with insomnia, fatigue, or long-term health risks, multi-night tracking at home is far easier than booking costly studies. Of course, it won’t replace hospital-grade EEG yet, but it could become an incredibly powerful first-line tool, especially for people who’d never go to a sleep clinic.
