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Related Experiment Videos

A finger function simulator and the laboratory testing of joint replacements.

S M Stokoe1, A Unsworth, C Viva

  • 1Centre for Biomedical Engineering, School of Engineering and Applied Science, University of Durham.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine
|January 1, 1990
PubMed
Summary

A new metacarpophalangeal (MCP) joint simulator accurately replicates in vivo loading conditions. Long-term tests validated its ability to reproduce clinical failures in silastic implants, confirming its effectiveness in simulating finger function.

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Area of Science:

  • Biomechanics
  • Biomedical Engineering
  • Orthopedic Research

Background:

  • Metacarpophalangeal (MCP) joint implants are crucial for restoring hand function.
  • Understanding in vivo loading conditions is essential for implant design and testing.
  • Existing testing methods may not fully replicate physiological stresses.

Purpose of the Study:

  • To design and validate a versatile metacarpophalangeal (MCP) joint function simulator.
  • To investigate the effects of dynamic and static loading on MCP joints.
  • To assess the simulator's ability to replicate clinical implant failures.

Main Methods:

  • Developed a novel MCP joint simulator capable of applying physiological dynamic and static loads.
  • Incorporated the ability to vary joint instability during testing.

Related Experiment Videos

  • Conducted long-term mechanical tests on Swanson silastic implants using the simulator.

    • Main Results:

    • The simulator successfully applied physiological loading patterns, mimicking in vivo conditions.
    • Long-term testing revealed implant failures consistent with those observed clinically.
    • The simulator demonstrated its capacity to reproduce known failure modes of silastic implants.

    Conclusions:

    • The developed MCP joint simulator is a versatile and effective tool for evaluating finger joint function.
    • The simulator's ability to replicate clinical failures validates its utility in preclinical implant assessment.
    • This technology can aid in the design and improvement of MCP joint prostheses.