New AI-based device for wireless tracking of health

The device will be able to replace the bulky gear we need to get clinical data.

Washington: Researchers at the Massachusetts Institute of Technology (MIT) are building a device that uses machine learning and is similar to a Wi-Fi router to track breathing, heart rate and sleep patterns just by sitting in one spot.

The device can help people living with conditions like Parkinson’s, Alzheimer’s, depression and pulmonary diseases and enable their physicians to wirelessly monitor their health.

According to MIT professor Dina Katabi the novel device will be able to replace the array of expensive bulky uncomfortable gear we currently need to get clinical data about the body. It transmits a low-power wireless signal throughout a space the size of a one- or two-bedroom apartment (even through walls) and the signal reflects off people s bodies.

The device then uses machine learning to analyse those reflected signals and extract physiological data.

The device takes advantage of the fact that every time we move — even if it s just a teeny tiny bit such as when we breathe — we change the electromagnetic field surrounding us Katabi said at the recently held MIT Technology Review s EmTech conference in Cambridge Massachusetts.

It can accurately monitor sleep including individual sleep stages in a person s own bed with no changes to the way they sleep or what they wear.

Because the device would be installed in a home it could track the resident over time too which could be useful for watching sleep-disrupting conditions like Alzheimer s or depression she said.

Importantly the data is collected only about specific traits and only with a person s consent.  In addition it is encrypted and is limited to certain designated recipients Katabi said.


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