2022
DOI: 10.3389/fbioe.2022.885329
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An Analysis of Lower Limb Coordination Variability in Unilateral Tasks in Healthy Adults: A Possible Prognostic Tool

Abstract: 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 coordi… Show more

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Cited by 3 publications
(3 citation statements)
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“…One might expect some coordination variability difference, especially in the left and right shank-foot couplings related to limb dominance. In the study of Ghahramani et al that investigated lower limb coordination variability in unilateral tasks in healthy adults, they found that leg dominance did not affect the coordination variability of healthy adults (Ghahramani et al, 2022). However, in our study, leg dominance was not checked.…”
Section: Discussioncontrasting
confidence: 75%
“…One might expect some coordination variability difference, especially in the left and right shank-foot couplings related to limb dominance. In the study of Ghahramani et al that investigated lower limb coordination variability in unilateral tasks in healthy adults, they found that leg dominance did not affect the coordination variability of healthy adults (Ghahramani et al, 2022). However, in our study, leg dominance was not checked.…”
Section: Discussioncontrasting
confidence: 75%
“…One of the frequently studied simple cases is inter-limb coordination in bi-manual tasks. Relative phase and relative time [ 22 , 23 ] are here used to describe motion similarities. The relative phase is calculated based on the phase difference of the limbs motion.…”
Section: Introductionmentioning
confidence: 99%
“…Inertial measurement units (IMUs) are small body-mounted sensors containing accelerometers, gyroscopes, and magnetometers that can track 3D human movement at a very granular level. IMU systems can utilize sensor fusion algorithms [11,12] and biomechanical modeling techniques to extract kinematic [13,14] and spatiotemporal gait parameters [15,16].…”
Section: Introductionmentioning
confidence: 99%