Department of Human Physiology, University of Milano, Via Mangiagalli 32, 20133 Milan, Italy.
J Biomech. 2011 May 17;44(8):1471-7. doi: 10.1016/j.jbiomech.2011.03.014. Epub 2011 Apr 3.
Although the 3D trajectory of the body centre of mass during ambulation constitutes the 'locomotor signature' at different gaits and speeds for humans and other legged species, no quantitative method for its description has been proposed in the literature so far. By combining the mathematical discoveries of Jean Baptiste Joseph Fourier (1768-1830, analysis of periodic events) and of Jules Antoine Lissajous (1822-1880, parametric equation for closed loops) we designed a method simultaneously capturing the spatial and dynamical features of that 3D trajectory. The motion analysis of walking and running humans, and the re-processing of previously published data on trotting and galloping horses, as moving on a treadmill, allowed to obtain closed loops for the body centre of mass showing general and individual locomotor characteristics. The mechanical dynamics due to the different energy exchange, the asymmetry along each 3D axis, and the sagittal and lateral energy recovery, among other parameters, were evaluated for each gait according to the present methodology. The proposed mathematical description of the 3D trajectory of the body centre of mass could be used to better understand the physiology and biomechanics of normal locomotion, from monopods to octopods, and to evaluate individual deviations with respect to average values as resulting from gait pathologies and the restoration of a normal pattern after pharmacological, physiotherapeutic and surgical treatments.
尽管人体质心在不同步态和速度下的 3D 运动轨迹构成了人类和其他有腿物种的“运动特征”,但迄今为止,文献中尚未提出描述其的定量方法。通过结合让·巴普蒂斯·约瑟夫·傅立叶(Jean Baptiste Joseph Fourier,1768-1830,周期事件分析)和儒勒·昂利·保罗·古斯塔夫·科里奥利(Jules Antoine Lissajous,1822-1880,闭合环路的参数方程)的数学发现,我们设计了一种同时捕捉该 3D 轨迹的空间和动力学特征的方法。对人类行走和跑步的运动分析,以及对之前发表的关于在跑步机上奔跑和疾驰的马的数据的重新处理,得到了质心的闭合环路,显示了一般和个体的运动特征。根据本方法,对不同步态的每个步态评估了由于不同能量交换、每个 3D 轴上的不对称性以及矢状面和侧面能量恢复等参数引起的机械动力学。所提出的质心 3D 运动轨迹的数学描述可用于更好地理解从单足动物到八足动物的正常运动的生理学和生物力学,并根据步态病理和药物、物理治疗和手术后恢复正常模式的个体偏差来评估个体偏差。