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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, sleep, and gait just by sitting at same place.
The device can help people with diseases such as Parkinson's disease, Alzheimer's disease, depression and lung disease and allow their doctor to monitor their wireless health.
According to Professor Dina Katabi of MIT, the new device will be able to replace all the expensive, bulky and uncomfortable equipment that we currently need to obtain clinical data on the body.
It transmits a low power wireless signal in a space the size of an apartment of one or two bedrooms (even through the walls) and the signal is reflected by the bodies of people.
The device then uses automatic learning to analyze these reflected signals and extract physiological data.
The device takes advantage of the fact that every time we move – even if it's only a tiny one, like when we breathe – we change the electromagnetic field around us, said Katabi at the recently organized EmTech conference by MIT Technology Review. Cambridge, Massachusetts.
It can accurately monitor sleep, including different stages of sleep, in the person's bed without any changes in the way they sleep or what they wear.
Since the device would be installed in a home, it could also follow the resident over time, which could be useful for observing disruptive sleep conditions such as Alzheimer's disease or depression, she added. .
Most importantly, data is collected only on specific traits and only with the consent of a person.
In addition, it is encrypted and is limited to certain designated recipients, said Katabi.
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