Automated Measurement and Subtask Analysis of the Timed Upand- Go Test in the Field of Geriatrics

Ziegl Andreas, Kastner Peter, Modre Osprian Robert, Schreier Gunter*

*Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung

Abstract

Multimorbidity and age-physiological functional restrictions can lead to frailty and a loss of a self-determined life in elderly patients. The Timed Up-and-Go test (TUG) is a sensitive and specific measure of frailty and has also many other areas of application, for example in chronic diseases. Besides the measurement of the complete TUG time, the analysis of subtasks may also reveal important information about particular aspects of the health status of test subjects. We developed an ultrasonic-based device for performing the TUG automatically, which can be attached to the backrest of a chair. This device provides the total TUG time as well as the displacement-time data for all included subtasks. To prepare for its use in clinical studies, we performed a field test at a geriatric center. The goal was to confirm feasibility, i.e., to assess its application in real patients. Despite some improvement potential revealed by the field test, the concept turned out to be an appropriate method for monitoring the TUG time and its subtasks.

Originalspracheenglisch
Titel40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers
Seiten1526-1529
Seitenumfang4
Band2018-July
ISBN (elektronisch)9781538636466
DOIs
PublikationsstatusVeröffentlicht - 26 Okt. 2018
Veranstaltung40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: EMBC 2018 - Honolulu, USA / Vereinigte Staaten
Dauer: 18 Juli 201821 Juli 2018

Konferenz

Konferenz40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Land/GebietUSA / Vereinigte Staaten
OrtHonolulu
Zeitraum18/07/1821/07/18

ASJC Scopus subject areas

  • Signalverarbeitung
  • Biomedizintechnik
  • Maschinelles Sehen und Mustererkennung
  • Gesundheitsinformatik

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