Prediction of injurious falls in older adults using digital gait biomarkers extracted from large-scale wrist sensor data.

Daily-life gait speed, quantity and quality, derived from wrist-worn sensors, are significant predictors of injurious falls in older people. These digital gait biomarkers could potentially be used to identify fall risk in screening programs and integrated into fall prevention strategies.