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首页> 外文期刊>Journal of Biomechanics >Influence of body segment parameters and modeling assumptions on the estimate of center of mass trajectory.
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Influence of body segment parameters and modeling assumptions on the estimate of center of mass trajectory.

机译：人体节段参数和建模假设对质心轨迹估计的影响。

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This study sought to determine the effect of inaccuracies in body segment parameters and modeling assumptions on the estimate of antero-posterior center of mass (COM) trajectory. Four different methods, one based on segmental kinematics, and three methods based on kinetic recordings were compared via simulation. Kinematic patterns (quiet stance, ankle-related sway, hip-ankle-related sway, sit-up and sit-up-sit-down) were tested with a 2D four-link model of the body and the ground reaction force vector was obtained by inverse dynamics. Errors in the estimation of body segment parameters were simulated by applying a +/-10% variation to one or more parameters at a time. These errors propagated differently to the COM estimated location between methods, between parameters within the same method, and between tasks. The kinematics-based method was the most sensitive to body segment parameters, with special regards to segment lengths and head-arms-trunk parameters. Root mean square error between estimated and simulated COM location reached 19mm in balance-related tasks and 38.3mm in sit-up-sit-down. The kinetics-based methods were largely less sensitive to inaccuracies in body segment parameters. In particular, the technique proposed by Zatsiorsky and King (J. Biomech. 31 (1998) 161), was completely insensitive to segment parameters. On the other hand the kinetics-based methods showed an intrinsic estimation error, due to the underlying model assumptions. The methods based on the double integration of horizontal force had better outcomes with tasks challenging such assumptions, with a maximal error in COM location of 15mm in the sit-up-sit-down. The method proposed by Shimba (J. Biomech. 17 (1984) 53) showed the best trade-off between sensitivity to body segment parameters and estimation performances given the ideal test conditions.
机译：这项研究试图确定不正确的身体节段参数和建模假设对前后质心（COM）轨迹估计的影响。通过仿真比较了四种不同的方法，一种基于分段运动学，三种基于动力学记录。用人体的二维四连杆模型测试了运动模式（安静的姿势，与脚踝有关的摇摆，与脚踝有关的摇摆，仰卧起坐和仰卧起坐），并获得了地面反作用力矢量通过逆动力学。通过每次对一个或多个参数施加+/- 10％的变化来模拟估算身体部位参数的误差。这些错误以不同的方式传播到方法之间，同一方法内的参数之间以及任务之间的COM估计位置。基于运动学的方法对人体节段参数最为敏感，特别是对于节段长度和头臂-躯干参数。在与平衡相关的任务中，估计的COM位置与模拟的COM位置之间的均方根误差达到19mm，仰卧起坐时达到38.3mm。基于动力学的方法对人体节段参数的不准确性大为敏感。特别地，由Zatsiorsky和King（J. Biomech。31（1998）161）提出的技术对分段参数完全不敏感。另一方面，由于基础模型的假设，基于动力学的方法显示出内在的估计误差。基于水平力双重积分的方法在挑战此类假设的任务中具有更好的结果，在仰卧起坐时COM位置的最大误差为15mm。 Shimba（J. Biomech。17（1984）53）提出的方法显示了在理想测试条件下对人体节段参数的敏感性和估计性能之间的最佳权衡。

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