Wearable sensor platform
Intervention1 paper2 findings
- In silico1
Associations
2Falls
upin humans1
1 study
Falls
upin humans1
Wearable sensor platform predicts falls in humans (Accuracy = 96.7%, F1 Score = 77.3%, lead time = 390 ms).
Human trialreduced Spatio-Temporal Attention Network
Development of a Wearable Sensor Platform for Fall Risk Assessment and Fall Detection · Sensors (Basel, Switzerland) · 16 Sep 2026
Fall risk
upin humans1
1 study
Fall risk
upin humans1
Wearable sensor platform predicts fall risk in humans (AUC = 77.8%, Accuracy = 68.7%).
Human triallogistic regression on gait parameters complemented by sEMG neuromuscular parameters
Development of a Wearable Sensor Platform for Fall Risk Assessment and Fall Detection · Sensors (Basel, Switzerland) · 16 Sep 2026