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Poster communications

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.
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https://hal.archives-ouvertes.fr/hal-02568440
Contributor : Thierry Bastogne <>
Submitted on : Saturday, May 9, 2020 - 11:37:03 AM
Last modification on : Tuesday, May 12, 2020 - 1:43:15 AM

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  • HAL Id : hal-02568440, version 1

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Levy Batista, Mathieu Milhem, Thierry Bastogne, Fabien Clanché, Gabin Personeni, et al.. A data-driven classification solution for the timed-up and go test in risk falling assessment. 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2020, Jul 2020, Montreal, Canada. ⟨hal-02568440⟩

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