A data-driven classification solution for the timed-up and go test in risk falling assessment
Abstract
This study presents a new version of the TUG test used to diagnose the falling risk in elderly persons. Patients are equipped with wearable inertial sensors and a classification algorithm is implemented to predict the risk. Clinical Relevance-This new test would allow clinicians to improve the diagnostic efficiency of the TUG test while preserving its simplicity of application.
| Origin | Files produced by the author(s) |
|---|
Loading...