American University has developed an "electronic underwear" for medical remote monitoring system

Recently, the American University team invented an "electronic underwear"-it is a remote monitoring system that can be embedded in the inner layer of clothes, and is a wearable sensing technology that will not attract people's attention. It can replace expensive and uncomfortable diagnostic devices, and it can even predict the onset of heart disease and stroke.

Dr. Vijay Varadan is in charge of this team. He comes from Fayetteville, Ark. School and is a famous professor in the field of electrical engineering. Researcher Linfeng Chen is responsible for placing the sensor in the pillowcase and bed sheet, so that the patient in the sleep clinic does not need to connect the wire to the body, shave the hair or even install some patch-like sensors on the body.

Dr. Varadan told MobiHealthNews "so that you can sleep in any position. The signals monitored by this system can reach 90% accuracy rate. Among them, six sensors in the pillowcase are responsible for monitoring brain activity, and six sensors in the sheet are responsible for Monitoring vital signs. We are still continuing to improve. "Dr. Varadan and Chen researchers plan to publish a total of ten volumes of advanced technical manuals of the American Society of Mechanical Engineers series on wireless health sensors. They have just published the first volume. This book focuses on the history of textile-based sensors, health monitoring systems and mobile health applications.

Dr. Varadan is also the head of the Arkansas High Density Electronics Center, nano and biological and information technology sensors and systems. He said the next two volumes are about sleep disorders and calorie burning ratios to help amateur and professional athletes decide the most optimal sports. Other volumes are about the functional connection between the brain and heart in many medical diseases. Dr. Varadan explained that "when your brain is in a happy state, so is your heart."

Dr. Varadan said, "Wearable sensors can collect many signals of heart and brain diseases, and can save a lot of expensive and uncomfortable imaging costs. At home, you can complete the inspection, you only need to wear a garment to detect There is no need to go to the hospital for a magnetic resonance examination. "As long as women wear this electronic bra and men wear an electronic vest, the examination can be performed in daily activities without entering the laboratory and deliberately posing an uncomfortable posture.

Varadan explained that "textile sensors can collect vital signs in people's daily lives." Like the University of Southern California's Body Computing Center, Arkansas researchers have also tested this wireless sensor on rugby players and other athletes. But Dr. Varadan studied more deeply. They not only put the sensor on the underwear, but also put it in the helmet to capture the brain signals in actual activities. Dr. Varadan said, "Now they can pre-screen signals from viscous materials."

Varadan said that inverted T waves are commonly found in external hands, and according to published literature, this waveform predicts a higher risk of heart disease, severe angina, and even death. Varadan also noticed a neurological T wave that is rarely studied and published by physicians, and based on this waveform, a prediction can be made at least 6 months before the onset of stroke. Dr. Varajan said that he is planning to build a company that can supply such smart textiles and clothes to the market, and some of these products have a global mobile communication system capable of transmitting signals through mobile networks. But because almost all textiles are produced in China and India, he cannot find a suitable manufacturer in the United States.

Researchers at the University of Arkansas have applied for patents, but the Food and Drug Administration denied some of their innovations, such as sensor sheets. Dr. Varadan also applied for a patent for an implantable sensor that can collect signals from Parkinson ’s and Alzheimer ’s and patient brains, and can also evaluate treatment effects.

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