4.7 Article

An Analysis of Lower Limb Coordination Variability in Unilateral Tasks in Healthy Adults: A Possible Prognostic Tool

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fbioe.2022.885329

关键词

interlimb coordination variability; interlimb coordination; unilateral sit to stand; unilateral functional tasks; continuous hops

资金

  1. Early Career Researcher Development Plan (ECARD) program, University of Canberra

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Interlimb coordination variability analysis can provide insights into higher order coordination and motor control. This study investigates how the interlimb coordination of healthy individuals changes in different unilateral functional tasks and whether leg dominance affects coordination variability. The results show that linear coordination variability was smaller in step-ups compared to sit-to-stands and continuous hops, while nonlinear coordination variability was larger in hops compared to step-ups and sit-to-stands. Leg dominance did not affect coordination variability in participants with no known injuries.
Interlimb coordination variability analysis can shed light into the dynamics of higher order coordination and motor control. However, it is not clear how the interlimb coordination of people with no known injuries change in similar activities with increasing difficulty. This study aimed to ascertain if the interlimb coordination variability range and patterns of healthy participants change in different unilateral functional tasks with increasing complexity and whether leg dominance affects the interlimb coordination variability. In this cross-sectional study fourteen younger participants with no known injuries completed three repeated unilateral sit-to-stands (UniSTS), step-ups (SUs), and continuous-hops (Hops). Using four inertial sensors mounted on the lower legs and thighs, angular rotation of thighs and shanks were recorded. Using Hilbert transform, the phase angle of each segment and then the continuous relative phase (CRP) of the two segments were measured. The CRP is indicative of the interlimb coordination. Finally, the linear and the nonlinear shank-thigh coordination variability of each participant in each task was calculated. The results show that the linear shank-thigh coordination variability was significantly smaller in the SUs compared to both UniSTS and Hops in both legs. There were no significant differences found between the latter two tests in their linear coordination variability. However, Hops were found to have significantly larger nonlinear shank-thigh coordination variability compared to the SUs and the UniSTS. This can be due to larger vertical and horizontal forces required for the task and can reveal inadequate motor control during the movement. The combination of nonlinear and linear interlimb coordination variability can provide more insight into human movement as they measure different aspects of coordination variability. It was also seen that leg dominance does not affect the lower limb coordination variability in participants with no known injuries. The results should be tested in participants recovering from lower limb injuries.

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