Roelker Sarah A, Schmitt Laura C, Chaudhari Ajit M W, Siston Robert A
Department of Kinesiology, University of Massachusetts Amherst, Amherst, MA, United States of America.
Department of Mechanical and Aerospace Engineering, The Ohio State University, Columbus, OH, United States of America.
PLoS One. 2022 Mar 3;17(3):e0264080. doi: 10.1371/journal.pone.0264080. eCollection 2022.
Existing methods for estimating how individual muscles contribute to a movement require extensive time and experimental resources. In this study we developed an efficient method for determining how changes to lower extremity joint kinematics affect the potential of individual muscles to contribute to whole-body center-of-mass vertical (support) and anteroposterior (progression) accelerations. A 4-link 2-dimensional model was used to assess the effect of kinematic changes on muscle function. Joint kinematics were systematically varied throughout ranges observed during the momentum transfer phase of the sit-to-stand transfer. Each muscle's potential to contribute to support and progression was computed and compared to simulated potentials estimated by traditional dynamic simulation methods for young adults and individuals with knee osteoarthritis. The new method required 4-10s to compute muscle potentials per kinematic state and computed potentials were consistent with simulated potentials. The new method identified differences in muscle potentials between groups due to kinematic differences, particularly decreased anterior pelvic tilt in young adults, and revealed kinematic and muscle strengthening modifications to increase support. The methods presented provide an efficient, systematic approach to evaluate how joint kinematic adjustments alter a muscle's ability to contribute to movement and can identify potential sources of pathologic movement and rehabilitation strategies.
现有的估算单个肌肉对运动贡献的方法需要大量时间和实验资源。在本研究中,我们开发了一种高效方法,用于确定下肢关节运动学变化如何影响单个肌肉对全身质心垂直(支撑)和前后(推进)加速度的贡献潜力。使用一个四连杆二维模型来评估运动学变化对肌肉功能的影响。在从坐起到站立转移的动量传递阶段观察到的整个范围内,系统地改变关节运动学。计算每块肌肉对支撑和推进的贡献潜力,并与通过传统动态模拟方法为年轻成年人和膝骨关节炎患者估计的模拟潜力进行比较。新方法计算每个运动学状态下的肌肉潜力需要4 - 10秒,且计算出的潜力与模拟潜力一致。新方法识别出由于运动学差异导致的不同组之间肌肉潜力的差异,特别是年轻成年人中骨盆前倾减少的情况,并揭示了增加支撑的运动学和肌肉强化调整。所提出的方法提供了一种高效、系统的方法来评估关节运动学调整如何改变肌肉对运动的贡献能力,并可识别病理性运动的潜在来源和康复策略。