Durkin Jennifer L, Dowling James J, Scholtes Laura
Department of Kinesiology, University of Waterloo, ON, Canada.
J Biomech Eng. 2005 Jun;127(3):455-64. doi: 10.1115/1.1894367.
Accurate estimations of body segment inertial parameters (BSPs) are required to calculate the kinetics of motion. The purpose of this study was to develop a geometric model of the human thigh segment based on mass distribution properties determined from dual energy x ray absorptiometry (DEXA). One hundred subjects from four populations underwent a DEXA scan and anthropometric measurements were taken. The mass distribution properties of the thigh segment were determined for 20 subjects, a geometric model was developed, and the model was applied to the remaining 80 subjects. The model was validated by comparing to benchmark DEXA measurements. Four other popular models in the literature were also evaluated in the same manner No one set of predictors performed best for a particular group or BSP, however modeling the mass distribution properties of the segment allows the assumption of constant density while still accurately representing the inertial properties of the segment and provides promise for future development of BSP models.
为了计算运动动力学,需要准确估计身体节段惯性参数(BSPs)。本研究的目的是基于双能X线吸收法(DEXA)确定的质量分布特性,建立人体大腿节段的几何模型。来自四个群体的100名受试者接受了DEXA扫描,并进行了人体测量。确定了20名受试者大腿节段的质量分布特性,建立了几何模型,并将该模型应用于其余80名受试者。通过与基准DEXA测量结果进行比较来验证该模型。还以同样的方式评估了文献中其他四个流行模型。对于特定的组或BSP,没有一组预测因子表现最佳,然而,对节段的质量分布特性进行建模允许假设密度恒定,同时仍能准确表示节段的惯性特性,并为BSP模型的未来发展提供了希望。