Wearable Sensors Enable Mobility Monitoring And Assessment
A systematic review through March 9, 2025 evaluated 30 studies on wearable sensors for clinical and real-world mobility monitoring, disease risk assessment, and rehabilitation. It found 67% (20/30) used IMU-based sensors, wrist-worn devices were most common (13/20), and models like random forest (6/30) and deep learning (5/30) were frequent, with fall-risk AUCs up to 0.97. Authors recommend standardized protocols and large longitudinal validation to enable clinical translation.
Scoring Rationale
Comprehensive synthesis across clinical domains, but limited novelty and moderate study count constrain immediate translational impact.
Practice interview problems based on real data
1,500+ SQL & Python problems across 15 industry datasets — the exact type of data you work with.
Try 250 free problems
