<p>This paper presents a new testing protocol for running-specific prostheses that aims to better simulate real running conditions. Unlike traditional methods that often use fixed conditions and lack standardization, this approach adjusts the rotation of the bottom platform and the vertical compression force, based on findings from treadmill tests and static analyses. The study tests two prosthetic footblade models by simulating two different running styles. To evaluate the accuracy of these dynamic tests, the study compares the vertical and horizontal forces measured during testing to those recorded from actual users running. The most accurate test showed only a 2.46% error in the ratio of horizontal to vertical forces and a 2.38% standard deviation compared to real-life data. These findings indicate that the testing method closely matches real-world conditions, demonstrating its reliability. In the future, this dynamic testing method could be standardized to improve the evaluation of prosthetic running blades across various models and stiffness levels, helping to bridge the gap between laboratory tests and real-world usage.</p>

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Dynamic Machine Testing of Running Specific Prostheses Based on User-Specific Input Parameters

  • C. Barattini,
  • A. Vigliani,
  • F. Starker

摘要

This paper presents a new testing protocol for running-specific prostheses that aims to better simulate real running conditions. Unlike traditional methods that often use fixed conditions and lack standardization, this approach adjusts the rotation of the bottom platform and the vertical compression force, based on findings from treadmill tests and static analyses. The study tests two prosthetic footblade models by simulating two different running styles. To evaluate the accuracy of these dynamic tests, the study compares the vertical and horizontal forces measured during testing to those recorded from actual users running. The most accurate test showed only a 2.46% error in the ratio of horizontal to vertical forces and a 2.38% standard deviation compared to real-life data. These findings indicate that the testing method closely matches real-world conditions, demonstrating its reliability. In the future, this dynamic testing method could be standardized to improve the evaluation of prosthetic running blades across various models and stiffness levels, helping to bridge the gap between laboratory tests and real-world usage.