Hellmers, Sandra and Izadpanah, Babak and Dasenbrock, Lena and Diekmann, Rebecca and Bauer, Jürgen M. and Hein, Andreas and Fudickar, Sebastian
(2018)
Towards an automated unsupervised mobility assessment for older people based on inertial TUG measurements.
Sensors, 18 (10).
p. 3310.
ISSN 1424-8220
Abstract
One of the most common assessments for the mobility of older people is the Timed Up
and Go test (TUG). Due to its sensitivity regarding the indication of Parkinson’s disease (PD) or
increased fall risk in elderly people, this assessment test becomes increasingly relevant, should
be automated and should become applicable for unsupervised self-assessments to enable regular
examinations of the functional status. With Inertial Measurement Units (IMU) being well suited
for automated analyses, we evaluate an IMU-based analysis-system, which automatically detects
the TUG execution via machine learning and calculates the test duration. as well as the duration of
its single components. The complete TUG was classified with an accuracy of 96% via a rule-based
model in a study with 157 participants aged over 70 years. A comparison between the TUG durations
determined by IMU and criterion standard measurements (stopwatch and automated/ambient TUG
(aTUG) system) showed significant correlations of 0.97 and 0.99, respectively. The classification of
the instrumented TUG (iTUG)-components achieved accuracies over 96%, as well. Additionally,
the system’s suitability for self-assessments was investigated within a semi-unsupervised situation
where a similar movement sequence to the TUG was executed. This preliminary analysis confirmed
that the self-selected speed correlates moderately with the speed in the test situation, but differed
significantly from each other.
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