A data-driven classification solution for the timed-up and go test in risk falling assessment - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2020

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.
Fichier principal
Vignette du fichier
Abstract_Poster_TUG.pdf (368.27 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02568440 , version 1 (09-05-2020)

Identifiers

  • HAL Id : hal-02568440 , version 1

Cite

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 Engineering in Medicine and Biology Conference, EMBC 2020, Jul 2020, Montréal, Canada. ⟨hal-02568440⟩
224 View
95 Download

Share

Gmail Facebook X LinkedIn More