Vanderbilt Trans-Institutional Team Shows How Next-Gen Wearable Sensor Algorithms Powered by Machine Learning Could Be Key to Preventing Injuries
October 29, 2020
October 29, 2020
NASHVILLE, Tennessee, Oct. 29 (TNSJou) -- Vanderbilt University issued the following news:
A trans-institutional team of Vanderbilt engineering, data science and clinical researchers has developed a novel approach for monitoring bone stress in recreational and professional athletes, with the goal of anticipating and preventing injury. Using machine learning and biomechanical modeling techniques, the researchers built multisensory algorithms that combine data from lightweight, low-pr . . .
A trans-institutional team of Vanderbilt engineering, data science and clinical researchers has developed a novel approach for monitoring bone stress in recreational and professional athletes, with the goal of anticipating and preventing injury. Using machine learning and biomechanical modeling techniques, the researchers built multisensory algorithms that combine data from lightweight, low-pr . . .