Department of Human Physiology, Faculty of Medicine, University of Milan, Via Mangiagalli 32, 20133 Milan, Italy.
Biol Open. 2022 Mar 15;11(3). doi: 10.1242/bio.058927. Epub 2022 Mar 28.
Body segments inertial parameters (or, more generally encompassing humans and animal species, inertial biometry), often necessary in kinetics calculations, have been obtained in the past from cadavers, medical 3D imaging, 3D scanning, or geometric approximations. This restricted the inertial archives to a few species. The methodology presented here uses commercial 3D meshes of human and animal bodies, which can be further re-shaped and 'posed', according to an underlying skeletal structure, before processing. The sequence of steps from virtually chopping the mesh to the estimation of inertial parameters of body segments is described. The accuracy of the method is tested by comparing the estimated results to real data published for humans (male and female), horses, and domestic cats. The proposed procedure opens the possibility of remarkably expanding biomechanics research when body size and shape change, or when external tools, such as prosthesis and sport material, take part in biological movement.
人体节段惯性参数(或者更广泛地包括人类和动物物种的惯性生物测量学),在动力学计算中经常需要,过去通常是从尸体、医学 3D 成像、3D 扫描或几何近似中获得的。这使得惯性档案仅限于少数几种物种。本文提出的方法使用人体和动物的商业 3D 网格,这些网格可以根据基础骨骼结构进行进一步的重塑和“摆姿势”,然后再进行处理。从实际上切割网格到估计身体节段惯性参数的步骤序列被描述。该方法的准确性通过将估计结果与为人类(男性和女性)、马和家猫发布的真实数据进行比较来测试。当身体大小和形状发生变化,或者当外部工具(如假肢和运动材料)参与生物运动时,所提出的程序为扩展生物力学研究提供了可能性。