Research Article
Unsupervised Physical Function Testing Using a Wearable Sensor System – A Cross-sectional Study with Community Dwelling Older Adults
@INPROCEEDINGS{10.1007/978-3-031-59717-6_28, author={Oonagh M. Giggins and Grainne Vavasour and Julie Doyle}, title={Unsupervised Physical Function Testing Using a Wearable Sensor System -- A Cross-sectional Study with Community Dwelling Older Adults}, proceedings={Pervasive Computing Technologies for Healthcare. 17th EAI International Conference, PervasiveHealth 2023, Malm\o{}, Sweden, November 27-29, 2023, Proceedings}, proceedings_a={PERVASIVEHEALTH}, year={2024}, month={6}, keywords={Frailty Older Adults Physical Function Wearable Sensors}, doi={10.1007/978-3-031-59717-6_28} }- Oonagh M. Giggins
Grainne Vavasour
Julie Doyle
Year: 2024
Unsupervised Physical Function Testing Using a Wearable Sensor System – A Cross-sectional Study with Community Dwelling Older Adults
PERVASIVEHEALTH
Springer
DOI: 10.1007/978-3-031-59717-6_28
Abstract
This study sought to investigate whether community dwelling older adults can independently undertake a Timed Up and Go (TUG) test and capture objective data related to frailty risk using a wearable sensor system. Participants were visited in their own homes and completed a sequence of TUG tests. These TUG tests were firstly supervised by the researcher. The TUG tests were then repeated by participants, unsupervised on the subsequent two days. The kinesis QTUG system was used to capture objective data during each TUG test. Fifty-one participants took part in this investigation, and 32 participants successfully obtained a frailty risk score using the QTUG system. Overall, the system usability score for the QTUG system ranged from 2.5 to 92.5 demonstrating a wide variation in participants’ perception of its usability. Results of the Spearman’s rank correlation coefficient (rs) indicate there was a very strong positive correlation between the supervised and the unsupervised QTUG tests for each of the two days (rs .942 and .874 day 1 and day 2 respectivelyp< .001). These results indicate that older adults can independently capture information relevant to their risk of frailty that does not depend on a clinician or researcher for analysis.
