• DocumentCode
    1506314
  • Title

    Optimization of Spring-Loaded Crutches via Boundary Value Problem

  • Author

    Liu, Guangyu ; Xie, Sheng-Quan Shane ; Zhang, Yanxin

  • Author_Institution
    Dept. of Mech. Eng., Univ. of Auckland, Auckland, New Zealand
  • Volume
    19
  • Issue
    1
  • fYear
    2011
  • Firstpage
    64
  • Lastpage
    70
  • Abstract
    The objective of the work is to optimize the design of spring-loaded crutches by choosing appropriate spring stiffness based on their dynamic characteristics. It was shown in the literature that ambulation with spring-loaded crutches reduces the initial impulse yielded by ambulation with standard crutches and provides a propulsion mechanism. This research not only provides a genre of the spring-loaded crutches via compliance, but also proposes an approach to optimize the stiffness of the helical spring through studying the dynamics of crutch stance. The method is developed using a boundary value problem and its solution method and is studied numerically. Experiments were carried out on four subjects in a biomechanics laboratory. It suggests that the optimized spring-loaded crutches guarantee the propulsion mechanism at the right time and right position during dynamical ambulation.
  • Keywords
    boundary-value problems; design engineering; gait analysis; handicapped aids; numerical analysis; propulsion; springs (mechanical); biomechanics; boundary value problem; crutch stance; dynamic characteristics; dynamical ambulation; helical spring; propulsion mechanism; spring stiffness; spring-loaded crutch optimization; Biomechanics; Boundary value problems; Design optimization; Extremities; Leg; Legged locomotion; Mechanical engineering; Propulsion; Springs; Stability; Boundary value problem; design optimization; spring-loaded crutches; walking; Computer Simulation; Crutches; Elastic Modulus; Equipment Failure Analysis; Forearm; Humans; Models, Biological; Prosthesis Design; Stress, Mechanical; Walking;
  • fLanguage
    English
  • Journal_Title
    Neural Systems and Rehabilitation Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1534-4320
  • Type

    jour

  • DOI
    10.1109/TNSRE.2010.2051561
  • Filename
    5475227