Vector coding reveals the underlying balance control strategies used by humans during translational perturbation (article)
dc.contributor.author | Taleshi, N | |
dc.contributor.author | Brownjohn, JMW | |
dc.contributor.author | Lamb, SE | |
dc.contributor.author | Zivanovic, S | |
dc.contributor.author | Williams, GKR | |
dc.date.accessioned | 2022-12-14T09:22:34Z | |
dc.date.issued | 2022-12-05 | |
dc.date.updated | 2022-12-14T09:16:10Z | |
dc.description.abstract | Postural control research has focused on standing balance experiments on platforms moving with relatively large amplitudes (0.1-0.2 m). This study investigated balance strategies while standing on a platform moving 4 mm in anterior-posterior direction with frequency scaled linearly from 0.4 to 6 Hz. Platform motion and kinematic and kinetic information for nine healthy participants were recorded using motion capture and force plate systems. Coordination between hip, knee and ankle joint torque, and centre of mass (COM) and centre of pressure (COP) motion was quantified by vector coding. Significant main effect of platform frequency for knee-ankle and COP-COM phase relationship was observed (p = 0.023, p = 0.016). At frequencies below 2.11 and 2.34 Hz, ankle strategy was recruited. With ankle strategy, in-phase COP-COM motion with COP dominancy occurred at frequencies below 2.19 and 2.23 Hz during scaling up and down, respectively. As platform frequency passed these values, COM dominated over COP which was followed by anti-phase knee-ankle torque, called a knee strategy, and anti-phase motion between the COP and COM that allowed COP to regain dominance over COM. Collectively, we reveal knee strategy as a new and relevant strategy in real-life settings, and transition between ankle and knee strategies that underpinned transition between COP-COM relative motion. | en_GB |
dc.description.sponsorship | Engineering and Physical Sciences Research Council (EPSRC) | en_GB |
dc.description.sponsorship | University of Exeter | en_GB |
dc.identifier.citation | Vol. 12(1), article 21030 | en_GB |
dc.identifier.doi | https://doi.org/10.1038/s41598-022-24731-3 | |
dc.identifier.uri | http://hdl.handle.net/10871/132026 | |
dc.identifier | ORCID: 0000-0003-4946-5901 (Brownjohn, James MW) | |
dc.identifier | ORCID: 0000-0003-1707-8245 (Williams, Genevieve KR) | |
dc.language.iso | en | en_GB |
dc.publisher | Nature Research | en_GB |
dc.relation.url | https://www.ncbi.nlm.nih.gov/pubmed/36470936 | en_GB |
dc.relation.url | https://doi.org/10.24378/exe.4345 | en_GB |
dc.rights | © The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | en_GB |
dc.title | Vector coding reveals the underlying balance control strategies used by humans during translational perturbation (article) | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2022-12-14T09:22:34Z | |
dc.identifier.issn | 2045-2322 | |
exeter.article-number | 21030 | |
exeter.place-of-publication | England | |
dc.description | This is the final version. Available on open access from Nature Research via the DOI in this record | en_GB |
dc.description | The dataset associated with this article is available in ORE at https://doi.org/10.24378/exe.4345 | en_GB |
dc.identifier.eissn | 2045-2322 | |
dc.identifier.journal | Scientific Reports | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2022-11-18 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2022-12-05 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2022-12-14T09:19:16Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2022-12-14T09:22:35Z | |
refterms.panel | A | en_GB |
refterms.dateFirstOnline | 2022-12-05 |
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Except where otherwise noted, this item's licence is described as © The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.