| abstract |
Methods and apparatus comprise a model to accurately assess and track changes in physical activity and locomotor patterns measured by an activity sensor such as accelerometer or step counter of mobile and wearable devices to evaluate the age, hazard rate or hazard ratio, frailty, obesity and type 2 diabetes status. The model is capable of detecting age-related and age- independent hazard rate or hazard ratio and other related parameters such as age, biological age, frailty, obesity and type 2 diabetes status that are detectable in activity sensor data acquired from freely moving subjects engaged in routine activities. The disclosed methods and apparatus have sufficient accuracy for practical implementation in personal and corporate wellness with readily available mobile devices such as personal smartphones and wristbands. |