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Evaluating the Gait of Lower Limb Prosthesis Users

  • Stephanie L. Carey
  • Kyle B. Reed
  • Amanda Martori
  • Tyagi Ramakrishnan
  • Rajiv Dubey
Conference paper
Part of the Biosystems & Biorobotics book series (BIOSYSROB, volume 16)

Abstract

Outcome assessments are vital in facilitating periodic, episodic and ongoing evaluation of persons with limb loss. There are many outcome measures used to quantify prosthetic fit, alignment, comfort, functionality and usability of lower limb prostheses. However, many measures are subjective, difficult to implement in a clinical setting and lack psychometric evaluation. This study used an immersive Computer Assisted Rehabilitation Environment (CAREN) virtual reality system with an instrumented spilt-belt treadmill and real time motion capture system as a research tool to evaluate and compare the gait of lower limb prosthesis users and non-amputees as a preliminary study to determine the effectiveness and appropriate use of outcome measures. The use of the CAREN system providing more real world scenarios such as ramps, inclines and unexpected inclines helped evaluate the hill assessment index (HAI) and the combined gait asymmetry metric (CGAM).

Keywords

Gait Parameter Limb Loss Lower Limb Amputation Transfemoral Amputation Ankle Flexion 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Sheehan, T.P., Gondo, G.C.: Impact of limb loss in the United States. Phys. Med. Rehabil. Clin. N Am. 25(1), 9–28 (2014)CrossRefGoogle Scholar
  2. 2.
    Hafner, B.J., et al.: Evaluation of function, performance and preference as transfemoral amputees transition from mechanical to microprocessor control of the prosthetic knee. Arch. Phys. Med. Rehabil. 88, 207–217 (2007)CrossRefGoogle Scholar
  3. 3.
    Muratagic, H., Handzic, I., Reed, K.B.: Passive kinematic synchronization of dissimilar and uncoupled rotating systems. Nonlinear Dyn. Syst. Theory 15(4), 383–399 (2015)MathSciNetzbMATHGoogle Scholar
  4. 4.
    Handzic, I., Reed, K.B.: Perception of gait patterns that deviate from normal and symmetric biped locomotion. Front. Psychol. 6 (2015)Google Scholar
  5. 5.
    Ramakrishnan, T., Muratagic, H.,Reed, K.B.: Combined gait asymmetry metric. In: 38th IEEE Engineering in Medicine & Biology Conference (EMBC) (2016)Google Scholar
  6. 6.
    Martori, A., Carey, S.: Proceedings of the Biomedical Engineering Society Annual Meeting (2015)Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Stephanie L. Carey
    • 1
  • Kyle B. Reed
    • 1
  • Amanda Martori
    • 2
  • Tyagi Ramakrishnan
    • 1
  • Rajiv Dubey
    • 1
  1. 1.Department of Mechanical EngineeringUniversity of South FloridaTampaUSA
  2. 2.Department of Chemical and Biomedical EngineeringUniversity of South FloridaTampaUSA

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