Study finds wearables may help detect serious illness | MobiHealthNews
Led by geneticist Dr. Michael Snyder, researchers looked at 2 billion measurements from 60 people. Study participants wore between one and seven commercially available activity trackers (including Masimo, Basis and Scanadu) and other monitors, which were compared to the university’s standard clinical vital signs monitors. The devices collected 250,000 measurements per day, and researchers worked to establish a baseline range of values for each participant by collecting essential data like weight, heart rate, skin temperature, sleep, activity and caloric burn and exposure to gamma rays and X-rays.
From there, the Stanford team was able to monitor deviations from each person’s normal baseline and associate the changes with environmental conditions (like flying in an airplane), illness, and other health-impacting factors. The team found two health-related observations – wearables were useful in identifying the onset of Lyme disease and inflammation, allowing them to build an algorithm for personalized disease detection using wearable sensors. They also found the sensors can reveal physiological differences between insulin sensitive and insulin-resistant people, meaning they could have the potential to help identify those at risk for type 2 diabetes.