a group of researchers at MIT have developed a remote sleep sensing system that uses radio waves to capture data about your brain waves while you sleep–and AI to read them–without ever touching your body. It consists of a laptop-sized wireless device that emits radio signals. When put in the user’s bedroom, the waves detect even the slightest movement of the body. The system doesn’t just do the job of a sleep-tracking wearable without the wearable; it also just provides data at a similar level of accuracy as a sleep lab.
In order to cut out all the extraneous information her system records, she developed a machine learning algorithm that can extract sleep stages–light, deep, and REM sleep–out of the mess of data. The algorithm was trained on a sleep dataset of 25 individuals for a total of 100 nights of sleep, taken using an FDA-approved device that uses EEG to record brain waves.
The results are 80% accurate