Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-1184
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dc.contributor.authorRast, Fabian-
dc.contributor.authorGraser, Judith Verena-
dc.contributor.authorMeichtry, André-
dc.contributor.authorErnst, Markus-
dc.contributor.authorBauer, Christoph-
dc.date.accessioned2017-01-04T07:48:51Z-
dc.date.available2017-01-04T07:48:51Z-
dc.date.issued2017-01-25-
dc.identifier.issn0021-9290de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/1193-
dc.description.abstractPostural 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.de_CH
dc.language.isoende_CH
dc.publisherElsevierde_CH
dc.relation.ispartofJournal of Biomechanicsde_CH
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/de_CH
dc.subjectPostural controlde_CH
dc.subjectMotion analysisde_CH
dc.subjectSpinede_CH
dc.subjectReproducibility of resultsde_CH
dc.subjectSignal processingde_CH
dc.subject.ddc610: Medizin und Gesundheitde_CH
dc.titleReproducibility of a new signal processing technique to assess joint sway during standingde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementGesundheitde_CH
zhaw.organisationalunitInstitut für Physiotherapie (IPT)de_CH
dc.identifier.doi10.21256/zhaw-1184-
dc.identifier.doi10.1016/j.jbiomech.2016.11.054de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end136de_CH
zhaw.pages.start133de_CH
zhaw.publication.statusacceptedVersionde_CH
zhaw.volume51de_CH
zhaw.embargo.end2017-11-29de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.funding.zhaw„Valedo Movement Lab“: Das portable Bewegungslabor misst Bewegungs-Qualität bei unteren Rückenschmerzende_CH
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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.


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