Professor Dina Katabi, a team led by MIT, has developed a prototype sensor that can wirelessly track user health by combining wireless signal and machine learning. The device looks like a Wi-Fi router, but it can monitor a variety of indicators such as respiration, heart rate, sleep, walking and so on. Already in the United States, Parkinson ‘s disease, Alzheimer’ s, depression, lung disease, and 200 people are undergoing monitoring evaluation.
The device detects that the signal originating from the antenna is reflected back to the human body. The radio waves can be used even if they can not be returned through the wall, and the signal can be analyzed through the neural network to know the state of the person. Of course, the subject of monitoring can go around the house freely without any problems for adults or children.
This device has the advantage that the data can be obtained even if the person to be monitored does not have any sense in daily life. This allows the physician to easily determine what effect the medication has on the patient. Of course, in order to secure the privacy of the monitoring target, the signals are encrypted and designed to obtain prior consent before monitoring.
Professor Dinah Kataabi says he will provide technology through Emerald Innovations. For more information, please click here .