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Sensors 2019, 19(6), 1370; https://doi.org/10.3390/s19061370

Measurement of the Chair Rise Performance of Older People Based on Force Plates and IMUs

1
Assistance Systems and Medical Device Technology, Carl von Ossietzky University Oldenburg, 26129 Oldenburg, Germany
2
Peter L. Reichertz Institute for Medical Informatics, TU Braunschweig and Hannover Medical School, TU Braunschweig, 38106 Braunschweig, Germany
3
Center for Geriatric Medicine, University Heidelberg, 69117 Heidelberg, Germany
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Received: 25 January 2019 / Revised: 27 February 2019 / Accepted: 15 March 2019 / Published: 19 March 2019
(This article belongs to the Special Issue Wearable Sensors for Gait and Motion Analysis 2018)
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Abstract

An early detection of functional decline with age is important to start interventions at an early state and to prolong the functional fitness. In order to assure such an early detection, functional assessments must be conducted on a frequent and regular basis. Since the five time chair rise test (5CRT) is a well-established test in the geriatric field, this test should be supported by technology. We introduce an approach that automatically detects the execution of the chair rise test via an inertial sensor integrated into a belt. The system’s suitability was evaluated via 20 subjects aged 72–89 years (78.2 ± 4.6 years) and was measured by a stopwatch, the inertial measurement unit (IMU), a Kinect® camera and a force plate. A Multilayer Perceptrons-based classifier detects transitions in the IMU data with an F1-Score of around 94.8%. Valid executions of the 5CRT are detected based on the correct occurrence of sequential movements via a rule-based model. The results of the automatically calculated test durations are in good agreement with the stopwatch measurements (correlation coefficient r = 0.93 (p < 0.001)). The analysis of the duration of single test cycles indicates a beginning fatigue at the end of the test. The comparison of the movement pattern within one person shows similar movement patterns, which differ only slightly in form and duration, whereby different subjects indicate variations regarding their performance strategies. View Full-Text
Keywords: chair rise test; machine learning; geriatric assessment; wearable sensors; IMU; functional decline; sit-to-stand chair rise test; machine learning; geriatric assessment; wearable sensors; IMU; functional decline; sit-to-stand
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Hellmers, S.; Fudickar, S.; Lau, S.; Elgert, L.; Diekmann, R.; Bauer, J.M.; Hein, A. Measurement of the Chair Rise Performance of Older People Based on Force Plates and IMUs. Sensors 2019, 19, 1370.

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