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A good night’s sleep is the foundation for a healthy life. Insufficient sleep leads to daytime drowsiness and impaired cognitive function, and it can put you at risk for more serious conditions, such as heart disease, high blood pressure, and diabetes. In fact, ongoing or serious sleep issues are a public health concern.
“When we become sleep-deprived, the effects are astonishing,” said Dr. Sujay Kansagra, director of Duke University’s sleep medicine program and sleep health consultant for Mattress Firm. “Even a single night of disrupted or shortened sleep can wreak havoc on our bodies. In addition to the sleep you need every night, lost sleep will accumulate, causing you to need to sleep even more to make up for any hours previously missed.”
Due to the importance of sleep to public health, researchers are racing to find new ways to monitor and improve sleep habits, including using artificial intelligence (AI). While there are a number of AI sleep technologies to keep an eye on, one in particular stands out — a new sensor that uses radio waves translated by machine-learning algorithms to monitor your sleep phases without the need for any intrusive wearable devices.
Improved accuracy in identifying sleep stages
Researchers at MIT and Massachusetts General Hospital — including professors of engineering and computer science Dina Katabi and Tommi Jaakkola, as well as Matt Bianchi, chief of the hospital’s Division of Sleep Medicine — joined forces to develop and test the new technology. A wireless device, similar to a Wi-Fi router, emits low-power radio frequency signals, which bounce off the body. The AI algorithms analyze the data and translate the measurements of pulse,…