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

• Published in: 2016 IEEE EMBS International Student Conference (ISC) pp. 1 - 4
• Main Authors: Zhao, Stacey R., Bryant, Tim, Li, Qingguo
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.05.2016
• Subjects: Foot; Force; Loading; Monte Carlo methods; Monte Carlo simulation; Principal component analysis; prosthetic foot; Prosthetics; Sociology; trans-tibial prosthesis; vertical ground reaction force
• DOI: 10.1109/EMBSISC.2016.7508628

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.