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Automated pressure map segmentation for quantifying phalangeal kinetics during cylindrical gripping

机译:自动压力图分段可量化圆柱夹持过程中的指骨动力学

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摘要

Inverse dynamics models used to investigate musculoskeletal disorders associated with handle gripping require accurate phalangeal kinetics. Cylindrical handles wrapped with pressure film grids have been used in studies of gripping kinetics. We present a method fusing six degree-of-freedom hand kinematics and a kinematic calibration of a cylinder-wrapped pressure film. Phalanges are modeled as conic frusta and projected onto the pressure grid, automatically segmenting the pressure map into regions of interest (ROIs). To demonstrate the method, segmented pressure maps are presented from two subjects with substantially different hand length and body mass, gripping cylinders 50 and 70 mm in diameter. For each ROI, surface-normal force vectors were summed to create a reaction force vector and center of pressure location. Phalangeal force magnitudes for a data sample were similar to that reported in previous studies. To evaluate our method, a surrogate was designed for each handle such that when modeled as a phalanx it would generate a ROI around the cells under its supports; the classification F-score was above 0.95 for both handles. Both the human subject results and the surrogate evaluation suggest that the approach can be used to automatically segment the pressure map for quantifying phalangeal kinetics of the fingers during cylindrical gripping.
机译:用于研究与手柄抓握有关的肌肉骨骼疾病的逆动力学模型需要准确的指骨动力学。包裹有压力薄膜栅格的圆柱形手柄已用于抓紧动力学研究。我们提出了一种方法,该方法融合了六个自由度的手运动学和圆柱包裹的压力膜的运动学标定。指骨被建模为圆锥体视锥,并投影到压力网格上,从而自动将压力图分割成目标区域(ROI)。为了演示该方法,给出了来自两个受试者的分段压力图,这些受试者的手长和体重明显不同,分别握住直径为50和70 mm的圆柱体。对于每个ROI,将表面法向力矢量相加以创建反作用力矢量和压力中心。数据样本的对角力大小与以前的研究相似。为了评估我们的方法,为每个手柄设计了一个代理,这样当建模为方节指骨时,它将在其支撑下的细胞周围产生ROI。两个手柄的分类F分数均高于0.95。人类受试者的结果和替代评估均表明,该方法可用于自动分割压力图,以量化在圆柱形抓握过程中手指的指骨动力学。

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