Reducing residual limb adipose tissue via surgery alters foursquare stepping mechanics of a transfemoral amputee

Emily T. Levy, Nicholas P. Fey

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

As prosthetic technology advances, performance improvement is expected for persons with amputation to accomplish their daily activities. However, prosthesis research often overlooks the interface between the residual limb of the user and the prosthetic socket. This case study analyzed the influence of the local mechanical properties of the residual limb on biomechanics during non-steady movements. Before and after a unique surgery removing excess adipose tissue in the residual limb, an obese transfemoral amputee performed foursquare step tests. Post-surgery, the subject moved more fluidly. The increased maneuverability is characterized by increased stepping speed, less sharp direction changes, and more efficient movement path, and these movement qualities were quantified by task completion time, radius of curvature, and distance travelled, respectively.

Original languageEnglish (US)
Title of host publication2017 International Symposium on Wearable Robotics and Rehabilitation, WeRob 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-2
Number of pages2
ISBN (Electronic)9781538643778
DOIs
StatePublished - Jun 12 2018
Event2017 International Symposium on Wearable Robotics and Rehabilitation, WeRob 2017 - Houston, United States
Duration: Nov 5 2017Nov 8 2017

Other

Other2017 International Symposium on Wearable Robotics and Rehabilitation, WeRob 2017
Country/TerritoryUnited States
CityHouston
Period11/5/1711/8/17

ASJC Scopus subject areas

  • Rehabilitation
  • Artificial Intelligence
  • Biomedical Engineering
  • Control and Optimization
  • Clinical Neurology

Fingerprint

Dive into the research topics of 'Reducing residual limb adipose tissue via surgery alters foursquare stepping mechanics of a transfemoral amputee'. Together they form a unique fingerprint.

Cite this