Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-1184
Publication type: | Article in scientific journal |
Type of review: | Peer review (publication) |
Title: | Reproducibility of a new signal processing technique to assess joint sway during standing |
Authors: | Rast, Fabian Graser, Judith Verena Meichtry, André Ernst, Markus Bauer, Christoph |
DOI: | 10.21256/zhaw-1184 10.1016/j.jbiomech.2016.11.054 |
Published in: | Journal of Biomechanics |
Volume(Issue): | 51 |
Page(s): | 133 |
Pages to: | 136 |
Issue Date: | 25-Jan-2017 |
Publisher / Ed. Institution: | Elsevier |
ISSN: | 0021-9290 |
Language: | English |
Subjects: | Postural control; Motion analysis; Spine; Reproducibility of results; Signal processing |
Subject (DDC): | 610: Medicine and health |
Abstract: | Postural control strategies can be investigated by kinematic analysis of joint movements. However, current research is focussing mainly on the analysis of centre of pressure excursion and lacks consensus on how to assess joint movement during postural control tasks. This study introduces a new signal processing technique to comprehensively quantify joint sway during standing and evaluates its reproducibility. Fifteen patients with non-specific low back pain and ten asymptomatic participants performed three repetitions of a 60-second standing task on foam surface. This procedure was repeated on a second day. Lumbar spine movement was recorded using an inertial measurement system. The signal was temporally divided into six sections. Two outcome variables (mean absolute sway and sways per second) were calculated for each section. The reproducibility of single and averaged measurements was quantified with linear mixed-effects models and the generalizability theory. A single measurement of ten seconds duration revealed reliability coefficients of 0.75 for mean absolute sway and 0.76 for sways per second. Averaging a measurement of 40 seconds duration on two different days revealed reliability coefficients higher than 0.90 for both outcome variables. The outcome variables’ reliability compares favourably to previously published results using different signal processing techniques or centre of pressure excursion. The introduced signal processing technique with two outcome variables to quantify joint sway during standing proved to be a highly reliable method. Since different populations, tasks or measurement tools could influence reproducibility, further investigation in other settings is still necessary. Nevertheless, the presented method has been shown to be highly promising. |
URI: | https://digitalcollection.zhaw.ch/handle/11475/1193 |
Fulltext version: | Accepted version |
License (according to publishing contract): | CC BY-NC-ND 4.0: Attribution - Non commercial - No derivatives 4.0 International |
Restricted until: | 2017-11-29 |
Departement: | School of Health Sciences |
Organisational Unit: | Institute of Physiotherapy (IPT) |
Published as part of the ZHAW project: | „Valedo Movement Lab“: Das portable Bewegungslabor misst Bewegungs-Qualität bei unteren Rückenschmerzen |
Appears in collections: | Publikationen Gesundheit |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
RastJBiomechanicsPostPrint2016.pdf | Accepted Version | 122.18 kB | Adobe PDF | View/Open |
Show full item record
Rast, F., Graser, J. V., Meichtry, A., Ernst, M., & Bauer, C. (2017). Reproducibility of a new signal processing technique to assess joint sway during standing. Journal of Biomechanics, 51, 133–136. https://doi.org/10.21256/zhaw-1184
Rast, F. et al. (2017) ‘Reproducibility of a new signal processing technique to assess joint sway during standing’, Journal of Biomechanics, 51, pp. 133–136. Available at: https://doi.org/10.21256/zhaw-1184.
F. Rast, J. V. Graser, A. Meichtry, M. Ernst, and C. Bauer, “Reproducibility of a new signal processing technique to assess joint sway during standing,” Journal of Biomechanics, vol. 51, pp. 133–136, Jan. 2017, doi: 10.21256/zhaw-1184.
RAST, Fabian, Judith Verena GRASER, André MEICHTRY, Markus ERNST und Christoph BAUER, 2017. Reproducibility of a new signal processing technique to assess joint sway during standing. Journal of Biomechanics. 25 Januar 2017. Bd. 51, S. 133–136. DOI 10.21256/zhaw-1184
Rast, Fabian, Judith Verena Graser, André Meichtry, Markus Ernst, and Christoph Bauer. 2017. “Reproducibility of a New Signal Processing Technique to Assess Joint Sway during Standing.” Journal of Biomechanics 51 (January): 133–36. https://doi.org/10.21256/zhaw-1184.
Rast, Fabian, et al. “Reproducibility of a New Signal Processing Technique to Assess Joint Sway during Standing.” Journal of Biomechanics, vol. 51, Jan. 2017, pp. 133–36, https://doi.org/10.21256/zhaw-1184.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.