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1000 Titel
  • The reliability of a restraint sensor system for the computer-supported detection of spinal stabilizing muscle deficiencies
1000 Autor/in
  1. Pfeifle, Christian |
  2. Edel, Melanie |
  3. Schleifenbaum, Stefan |
  4. Kühnapfel, Andreas |
  5. Heyde, Christoph-Eckhard |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-09-07
1000 Erschienen in
1000 Quellenangabe
  • 21(1):597
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s12891-020-03597-4 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7487624/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Background!#!The presence of muscular deficiency seems to be a major cause of back pain that requires counteractions. Considering that the autochthonous back muscles, responsible for straightening and stabilizing the spine, cannot be activated voluntarily, they can be strengthened only through specific training. The computer-supported test and training system (CTT) Centaur (BfMC GmbH, Leipzig, SN, Germany) seems well suited for this purpose. To show its potential as a reliable diagnostic and training tool, this study aimed to evaluate the test-retest reliability of this 3D spatial rotation device.!##!Methods!#!A prospective pilot study was conducted in 20 healthy volunteers of both sexes. For test-retest reliability analysis, three measurements were performed with a two-day interval between each measurement. Each measurement consisted of a one-minute endurance test performed in eight different positions (transverse plane). During the test, the subject was tilted by 90° in the sagittal plane from a neutral, upright position. Meanwhile, the subject's level of upper body stabilization along the body axis was assessed. All trunk movements (momentum values) were quantified by a multicomponent force sensor and standardized relative to the subject's upper body mass. The range of motion was assessed by 95% confidence ellipse analysis. Here, all position-specific confidence ellipses for each measurement were merged to a summarized quantity. Finally, ICC analysis using a single-rating, absolute agreement, two-way mixed-effects model and a Bland-Altman plot was performed to determine the reliability.!##!Results!#!Considering all measurements (t1, t2, t3), the ICC for reliability evaluation was 0.805, and the corresponding 95% confidence interval (CI) was [0.643, 0.910]. Moreover, the Bland-Altman plots for all three pairs of time points did not show significant differences.!##!Conclusion!#!This study concludes that the CTT Centaur shows good test-retest reliability, indicating it can be used in clinical practice in the future.
1000 Sacherschließung
lokal Female [MeSH]
lokal BfMC
lokal Autochthonous musculature
lokal Humans [MeSH]
lokal Prospective Studies [MeSH]
lokal Rehabilitation, physical therapy and occupational health
lokal Muscles [MeSH]
lokal Computer-supported diagnosis
lokal Computers [MeSH]
lokal Male [MeSH]
lokal Reproducibility of Results [MeSH]
lokal Low back pain
lokal Germany [MeSH]
lokal Pilot Projects [MeSH]
lokal Research Article
lokal CTT centaur
lokal Reliability
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-4846-2808|https://frl.publisso.de/adhoc/uri/RWRlbCwgTWVsYW5pZQ==|https://frl.publisso.de/adhoc/uri/U2NobGVpZmVuYmF1bSwgU3RlZmFu|https://frl.publisso.de/adhoc/uri/S8O8aG5hcGZlbCwgQW5kcmVhcw==|https://frl.publisso.de/adhoc/uri/SGV5ZGUsIENocmlzdG9waC1FY2toYXJk
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  • DeepGreen-ID: d11dd50ef15f4ad897f2e90c39d35678 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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1000 Erstellt am 2023-11-16T00:07:08.536+0100
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1000 Zuletzt bearbeitet Thu Nov 30 23:06:28 CET 2023
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