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Analysis of vertical ground reaction force waveforms of trans-tibial prosthesis users

机译:跨胫骨假体用户垂直地面反应力波形分析

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The development of prosthetic foot components often incorporates mechanical characterization methods that simulate the loading conditions expected in activities of daily living. However, it is recognized that these conditions vary among users and the effect of user variability on mechanical testing results is not currently understood. The objective of this study was to statistically characterize the vertical ground reaction force (vGRF) waveform of prosthesis users to describe its variability in a population by: (1) Applying Principal Component Analysis (PCA) to measured waveforms in a cohort of trans-tibial subjects, and (2) Simulate an expected sample of waveforms for this population using a Monte Carlo method. Phase 1: Three prosthesis users walked on a level walkway at self-selected walking speeds under four prosthetic foot conditions. PCA performed on the vGRF waveforms for affected-limb footsteps resulted in three principal components (PCs) accounting for 91.5% of data variability. Results showed low variability for the same subject using similar designs of prosthetic feet and distinct differences when using a familiar device. Phase 2: Monte Carlo simulation was used to predict a family of 30 vGRF waveforms representative of the sample population. Variability was highest in regions of weight acceptance, mid-stance, and push-off, while lower variability was observed in the transition regions prior to, between, and after these regions. Conclusion: The study supports the use of PCA to describe variability in vGRF waveforms of trans-tibial prosthesis users. The analysis is suitable for Monte Carlo simulation, which showed vGRF waveforms with distinct regions of high and low variability.
机译:假体足组件的发展通常包括模拟日常生活活动中预期的装载条件的机械表征方法。然而,据认识到,这些条件在用户之间变化,并且目前尚未理解用户对机械测试结果的效果。本研究的目的是统计表征假体用户的垂直地面反作用力(VGRF)波形,以描述其群体的可变性:(1)将主成分分析(PCA)应用于跨胫骨队列中的测量波形受试者和(2)使用蒙特卡罗方法模拟该群体的预期波形样本。第1阶段:三个假肢用户在四个假肢脚部条件下以自选的步行速度走在水平走道上。 PCA对受影响 - 肢体脚步的VGRF波形进行,导致三个主要成分(PC)占数据变异性的91.5%。结果表明,使用熟悉的设备时,使用类似假脚和不同差异的相同设计的差异性低。第2阶段:Monte Carlo模拟用于预测代表样品群的30个VGRF波形的家庭。在重量验收,中间姿势和推迟的区域中,变异性最高,而在这些区域之间和之后,在过渡区域中观察到较低的变异性。结论:该研究支持使用PCA描述跨胫骨假体用户VGRF波形的变异性。该分析适用于蒙特卡罗模拟,其显示VGRF波形,具有高和低可变性的不同区域。

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