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Characterizing asymmetry across the whole sit to stand movement in healthy participants
Authors:Jonathon S Schofield  Eric C Parent  Justin Lewicke  Jason P Carey  Marwan El-Rich  Samer Adeeb
Institution:1. Department of Civil and Environmental Engineering, University of Alberta, Edmonton, Alberta, Canada T6G 2R3;2. Department of Physical Therapy, University of Alberta, Edmonton, Canada T6G2G4;3. Syncrude Center, Glenrose Rehabilitation Hospital, Alberta Health Services, 10230 111 Avenue, Edmonton, Canada T5G 0B7;4. Department of Mechanical Engineering, University of Alberta, Edmonton, Alberta, Canada T6G 2R3
Abstract:Sit-to-stand transfer (STS) is a common yet critical prerequisite for many daily tasks. Literature conducted on healthy STS often assume the body to behave symmetrically across the left and right side; yet only a few studies have been conducted to investigate this supposition. These studies have focused on a single numerical indicator such as peak joint moment (JM) values to describe symmetricity; however, STS is a dynamic and time dependent movement. This study addresses the validity of peak value analyses through the introduction of a time based peak-offset measure and proposes two time-dependent techniques to further characterize asymmetry and assesses their feasibility in ten (10) healthy male participants. JM and joint power (JP) over the whole STS movement was determined using motion capture and inverse dynamics. Using a paired one-tailed t-test differences were found in the time at which the left and right side reached peak values in all lower extremity joints (p<0.05) with exception of the hip JM. Using a measure of JM and JP straight-difference it was determined that the ankle joint displayed the largest number of JM and JP development strategies of all the lower extremity joints. Finally, through numerical integration of the JM and JP data with respect to time, it was found that the longer one side spends dominating the movement, the larger the excess angular impulse and work that can be expected from that side. The results suggest that when analyzing STS movements, one must be aware of the potential asymmetry present even in healthy movements. Furthermore, a simple peak JM or JP analysis may not fully describe the extent of these asymmetries.
Keywords:Sit-to-stand  Symmetry  Whole cycle  Biomechanics  Motion capture
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