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Joint Angle Coordination Strategies During Whole Body Rotations on a Single Lower-Limb Support: An Investigation Through Ballet Pirouettes.
Journal of Applied Biomechanics ( IF 1.4 ) Pub Date : 2020-03-02 , DOI: 10.1123/jab.2019-0209
Melanie B Lott 1 , Gan Xu 2
Affiliation  

Despite the prevalence of turning maneuvers in everyday life, relatively little research has been conducted on joint angle kinematic coordination during whole-body rotations around a vertical axis. Ballet pirouettes provide an opportunity to study dynamically balanced, whole-body rotations on a single support and the potential to scale results to smaller angular displacements executed by general populations. The purpose of this study was to determine the supporting limb's ankle, knee, hip, and pelvis-trunk joint angle excursions and kinematic coordination strategies utilized during the pirouette's turn phase. Advanced dancers (n = 6) performed pirouettes while whole-body 3-dimensional kinematics were recorded. Group mean ankle ab/adduction excursion was significantly greater than all other excursions (P < .05). Principal components analysis was applied to joint angle time-series data (4 joints × 3 degrees of freedom = 12 variables). The first 4 principal components explained 92% (2%) of variance, confirming redundancy in joint angle data. Evolution of the data along the first principal component in successful pirouettes oscillated at the pirouette's rotational frequency. Principal component eigenvector coefficients provided evidence of ankle-hip coordination, although specific coordination patterns varied between individuals and across trials. These results indicate that successful pirouettes are executed with continuous, oscillatory joint angle coordination patterns.

中文翻译:

单个下肢支撑上全身旋转期间的关节角度协调策略:通过芭蕾旋转的调查。

尽管转弯动作在日常生活中很普遍,但对围绕垂直轴的全身旋转过程中关节角度运动协调的研究相对较少。芭蕾舞旋转提供了一个研究单个支撑上的动态平衡、全身旋转的机会,以及将结果扩展到一般人群执行的较小角位移的潜力。本研究的目的是确定支撑肢的踝关节、膝关节、髋关节和骨盆躯干关节角度偏移以及在旋转阶段使用的运动协调策略。高级舞者(n = 6)表演旋转,同时记录全身 3 维运动学。组平均踝关节外展/内收偏移显着大于所有其他偏移 (P < .05)。主成分分析应用于关节角度时间序列数据(4 个关节 × 3 个自由度 = 12 个变量)。前 4 个主成分解释了 92% (2%) 的方差,证实了关节角度数据的冗余。成功旋转中第一主成分的数据演变以旋转频率振荡。主成分特征向量系数提供了踝髋协调的证据,尽管具体的协调模式因个体和试验而异。这些结果表明,成功的旋转是通过连续的、振荡的关节角度协调模式来完成的。
更新日期:2020-03-02
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