Preact to Lower the Risk of Falling by Customized Rehabilitation Across Europe: the PRECISE Study In Italy

Using an Artificial Intelligence-Machine Learning (AI-ML) DSS platform, which analyzes a large collection of data (screening and local data) from different sources, the DigiPrehab system will allow to predict the risk of falling in the elderly subjects. Once the screening will be completed, to carry out the prevention of falls, the system will assign to the participants a personalised exercise program that the patient will carry out at home for 12 weeks. The exercises will be chosen from the following: squat at door, squat on chair, squat with knee-lift, squat with heel-raise, stand-no support, toe-raise with support, toe-raise, one leg balance, weight-shift with support, weight-shift without support, lunge with support, lunge, step on book, step over book, step onto box or stair, step forward-sideways, step forward-sideways-backwards, knee to elbow, timed up and go.