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Status: Bibliographieeintrag

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Verfasst von:Friedrich, Björn [VerfasserIn]   i
 Lübbe, Carolin [VerfasserIn]   i
 Steen, Enno-Edzard [VerfasserIn]   i
 Bauer, Jürgen M. [VerfasserIn]   i
 Hein, Andreas [VerfasserIn]   i
Titel:Using sensor graphs for monitoring the effect on the performance of the OTAGO exercise program in older adults
Verf.angabe:Björn Friedrich, Carolin Lübbe, Enno-Edzard Steen, Jürgen Martin Bauer and Andreas Hein
E-Jahr:2022
Jahr:10 January 2022
Umfang:12 S.
Fussnoten:Gesehen am 28.04.2022
Titel Quelle:Enthalten in: Sensors
Ort Quelle:Basel : MDPI, 2001
Jahr Quelle:2022
Band/Heft Quelle:22(2022), 2, Artikel-ID 493, Seite 1-12
ISSN Quelle:1424-8220
Abstract:The OTAGO exercise program is effective in decreasing the risk for falls of older adults. This research investigated if there is an indication that the OTAGO exercise program has a positive effect on the capacity and as well as on the performance in mobility. We used the data of the 10-months observational OTAGO pilot study with 15 (m = 1, f = 14) (pre-)frail participants aged 84.60 y (SD: 5.57 y). Motion sensors were installed in the flats of the participants and used to monitor their activity as a surrogate variable for performance. We derived a weighted directed multigraph from the physical sensor network, subtracted the weights of one day from a baseline, and used the difference in percent to quantify the change in performance. Least squares was used to compute the overall progress of the intervention (n = 9) and the control group (n = 6). In accordance with previous studies, we found indication for a positive effect of the OTAGO program on the capacity in both groups. Moreover, we found indication that the OTAGO program reduces the decline in performance of older adults in daily living. However, it is too early to conclude causalities from our findings because the data was collected during a pilot study.
DOI:doi:10.3390/s22020493
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

kostenfrei: Volltext ; Verlag: https://doi.org/10.3390/s22020493
 kostenfrei: Volltext: https://www.mdpi.com/1424-8220/22/2/493
 DOI: https://doi.org/10.3390/s22020493
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:ambient intelligence
 exercise training
 frail older adults
 healthcare
 motion sensors
 pervasive computing
 physical performance
 sensor network
K10plus-PPN:1799751600
Verknüpfungen:→ Zeitschrift

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