Inverse dynamics as a tool for motion analysis: arm tracking movements in cerebellar patients
Inverse dynamics as a tool for motion analysis: arm tracking movements in cerebellar patients
复制标题
逆动力学作为运动分析工具：小脑患者的手臂跟踪运动
DOI：
10.1016/s0165-0270(96)02168-1
复制
发表时间：
1997
影响因子：
3
通讯作者：
A. Straube
中科院分区：
文献类型：
--
作者：
R. Riener;A. Straube
肢体运动的运动学分析可用于运动障碍患者的运动评估。然而，与健康对照组相比，那些临床上轻度至中度损伤的人通常只显示出测量轨迹的小的、不显著的偏差。此外，运动学数据本身并不能提供足够的信息，如肌肉激活或关节力矩的内部量。为了提高肢体运动分析的灵敏度，我们建议使用逆动力学，因为它允许生物力学量被确定而不限制运动。建立了9个自由度的上肢逆动力学模型。解剖标志的空间位置（笛卡尔坐标），这是由一个红外视频为基础的三维运动分析系统记录，转换成身体相关的卡丹角。该模型确定肩部、肘部和手腕处的关节力矩和功率。轻度小脑共济失调患者和健康对照组的手臂跟踪运动表明，该模型允许明确区分正常和异常肢体运动，即使记录的轨迹没有显着差异。我们的结论是，逆动力学建模可以是一个有效的工具，小脑疾病患者的运动分析。它还提供了进一步了解可能由中枢神经系统控制的参数。
Kinematic analysis of limb movements can be used to evaluate motion of patients with movement disorders. Those with clinically mild to moderate impairment, however, often show only small, insignificant deviations in the measured trajectories compared to those of healthy controls. Furthermore, kinematic data alone do not give sufficient information about internal quantities such as muscle activation or joint moments. In order to improve the sensitivity of motion analysis of limb movements, we propose the use of inverse dynamics, since it allows biomechanical quantities to be determined without restricting movement. We developed an inverse dynamic model of the upper limb with 9 degrees of freedom. Spatial positions (Cartesian coordinates) of anatomical landmarks, which were recorded by an infrared video-based three-dimensional motion analysis system, are transformed into body-related Cardan angles. The model determines joint moments and powers at the shoulder, elbow, and wrist. Arm tracking movements in a patient with a mild cerebellar ataxia and a healthy control demonstrate that the model allows a clear differentiation between normal and abnormal limb movements, even if no significant differences are noted in the recorded trajectories. We conlude that inverse dynamic modeling can be an effective tool for motion analysis in patients with cerebellar disorders. It also gives further insight into the parameters that may be controlled by the central nervous system.