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Hellmers S, Fudickar S, Lau S, et al. Measurement of the Chair Rise Performance of Older People Based on Force Plates and IMUs. Sensors (Basel). 2019;19(6)doi: 10.3390/s19061370.
Hellmers, S., Fudickar, S., Lau, S., Elgert, L., Diekmann, R., Bauer, J. M., & Hein, A. (2019). Measurement of the Chair Rise Performance of Older People Based on Force Plates and IMUs. Sensors (Basel, Switzerland), 19(6), . https://doi.org/10.3390/s19061370
Hellmers, Sandra, et al. "Measurement of the Chair Rise Performance of Older People Based on Force Plates and IMUs." Sensors (Basel, Switzerland) vol. 19,6 (2019). doi: https://doi.org/10.3390/s19061370
Hellmers S, Fudickar S, Lau S, Elgert L, Diekmann R, Bauer JM, Hein A. Measurement of the Chair Rise Performance of Older People Based on Force Plates and IMUs. Sensors (Basel). 2019 Mar 19;19(6). doi: 10.3390/s19061370. PMID: 30893819; PMCID: PMC6471607.
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Sensors (Basel). 2019 Mar 19;19(6). doi: 10.3390/s19061370.

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

Sensors (Basel, Switzerland)

Sandra Hellmers, Sebastian Fudickar, Sandra Lau, Lena Elgert, Rebecca Diekmann, Jürgen M Bauer, Andreas Hein

Affiliations

  1. Assistance Systems and Medical Device Technology, Carl von Ossietzky University Oldenburg, 26129 Oldenburg, Germany. [email protected].
  2. Assistance Systems and Medical Device Technology, Carl von Ossietzky University Oldenburg, 26129 Oldenburg, Germany. [email protected].
  3. Assistance Systems and Medical Device Technology, Carl von Ossietzky University Oldenburg, 26129 Oldenburg, Germany. [email protected].
  4. Peter L. Reichertz Institute for Medical Informatics, TU Braunschweig and Hannover Medical School, TU Braunschweig, 38106 Braunschweig, Germany. [email protected].
  5. Assistance Systems and Medical Device Technology, Carl von Ossietzky University Oldenburg, 26129 Oldenburg, Germany. [email protected].
  6. Center for Geriatric Medicine, University Heidelberg, 69117 Heidelberg, Germany. [email protected].
  7. Assistance Systems and Medical Device Technology, Carl von Ossietzky University Oldenburg, 26129 Oldenburg, Germany. [email protected].

PMID: 30893819 PMCID: PMC6471607 DOI: 10.3390/s19061370

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

Keywords: IMU; chair rise test; functional decline; geriatric assessment; machine learning; sit-to-stand; wearable sensors

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