Jamkrajang, P, Robinson, MA, Limroongreungrat, W and Vanrenterghem, J (2017) Can segmental model reductions quantify whole-body balance accurately during dynamic activities? Gait Posture, 56. pp. 37-41. ISSN 1879-2219

Preview

Text Jamkrajang 2017 Can segmental model reductions quantify whole body CoM.pdf - Accepted Version Available under License Creative Commons Attribution. Download (826kB) | Preview

Abstract

When investigating whole-body balance in dynamic tasks, adequately tracking the whole-body centre of mass (CoM) or derivatives such as the extrapolated centre of mass (XCoM) can be crucial but add considerable measurement efforts. The aim of this study was to investigate whether reduced kinematic models can still provide adequate CoM and XCoM representations during dynamic sporting tasks. Seventeen healthy recreationally active subjects (14 males and 3 females; age, 24.9±3.2years; height, 177.3±6.9cm; body mass 72.6±7.0kg) participated in this study. Participants completed three dynamic movements, jumping, kicking, and overarm throwing. Marker-based kinematic data were collected with 10 optoelectronic cameras at 250Hz (Oqus Qualisys, Gothenburg, Sweden). The differences between (X)CoM from a full-body model (gold standard) and (X)CoM representations based on six selected model reductions were evaluated using a Bland-Altman approach. A threshold difference was set at ±2cm to help the reader interpret which model can still provide an acceptable (X)CoM representation. Antero-posterior and medio-lateral displacement profiles of the CoM representation based on lower limbs, trunk and upper limbs showed strong agreement, slightly reduced for lower limbs and trunk only. Representations based on lower limbs only showed less strong agreement, particularly for XCoM in kicking. Overall, our results provide justification of the use of certain model reductions for specific needs, saving measurement effort whilst limiting the error of tracking (X)CoM trajectories in the context of whole-body balance investigation.

Item Type:	Article
Uncontrolled Keywords:	1103 Clinical Sciences, 1106 Human Movement And Sports Science, 0913 Mechanical Engineering
Subjects:	R Medicine > R Medicine (General) R Medicine > RC Internal medicine R Medicine > RC Internal medicine > RC1200 Sports Medicine
Divisions:	Sport Studies, Leisure & Nutrition (closed 31 Aug 19)
Publisher:	Elsevier
Related URLs:	https://www.ncbi.nlm.nih.gov/pubmed/28494320
Date Deposited:	24 Jul 2017 15:59
Last Modified:	04 Sep 2021 11:20
DOI or ID number:	10.1016/j.gaitpost.2017.04.036
URI:	https://researchonline.ljmu.ac.uk/id/eprint/6846

View Item