MIT research uses radio waves to control sleep

Sleep quality is an important factor in ensuring the good health of people. What is harmful is that the measures taken by these objects are often very limited. Researchers at MIT (Massachusetts Institute of Technology) have therefore developed a new technology to measure the quality of sleep via radio waves.

MIT researchers have developed a new technology combining Artificial Intelligence and radio waves. The principle consists in interpreting the sleep movements of patients in order to deliver a diagnosis as close as possible to reality.

Weak radio waves so as not to inconvenience the patient

Thanks to a small device placed in the room that sends out weak radio waves, it is now possible to monitoring and measure the quality of sleep. The device is therefore capable of detecting and interpreting the slightest movement of the patient. Thus, the latter is able to know with precision each of the phases of sleep, namely: light, deep and dreams. Finally this device can know your respiratory rate.

The study carried out by the prestigious research institute mobilized 25 patients on whom the researchers observed a hundred nights. "Imagine if your WiFi router knows when you are dreaming and can control if you have enough deep sleep, which is necessary for memory consolidation. " Dina Katabi, professor at the institute, explains. The latter conducted the research with the help of Matt Bianchi, head of the sleep medicine section of the Massachusetts Hospital, and Tommi Jaakkola professor of electronics and computer science at MIT.

A real breakthrough for sleep control by MIT

For the moment, the only devices that can have a precise idea of ​​the quality of sleep of its users were activity tracker bracelets like FitBit or Apple Watch. However, the latter do not deliver any expertise but just data such as heart rate, respiration or sleep duration. The device uses radio waves, it consumes much less than Wi-Fi and does not require any calibration. This will allow patients to be observed while leaving them at health home.

For MIT researchers, the official presentation of the work will take place on August 9 International Conference on Machine Learning taking place in Sidney.

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