Development of a Passive and Slope Adaptable Prosthetic Foot
Name
v05at08a066-detc2017-67947.pdf
Size
2.52 MB
Format
Adobe PDF
Checksum (MD5)
e7d4fc5b1f26444bd81d63f067032a59
Author(s)
Amiot, David Engel
Schmidt, Rachel M.
Law, Angwei
Meinig, Erich Paul
Yu, Lynn S.
Olesnavage, Kathryn
Prost, Victor
Winter, Amos G.
Date Issued
August 2017
Journal
Volume 5A: 41st Mechanisms and Robotics Conference
Publisher
ASME International
Citation
Amiot, David E., Rachel M. Schmidt, Angwei Law, Erich P. Meinig, Lynn Yu, Kathryn M. Olesnavage, Victor Prost, and Amos G. Winter. “Development of a Passive and Slope Adaptable Prosthetic Foot.” Volume 5A: 41st Mechanisms and Robotics Conference (August 6, 2017).
Version
Final published version
Abstract
Historically, users of prosthetic ankles have relied on actively operated systems to provide effective slope adaptability. However, there are many drawbacks to these systems. This research builds upon work previously completed by Hansen et al. as it develops a passive, hydraulically operated prosthetic ankle with the capability of adapting to varying terrain in every step. Using gait cycle data and an analysis of ground reaction forces, the team determined that weight activation was the most effective way to activate the hydraulic circuit. Evaluations of the system pressure and energy showed that although the spring damper system results in a loss of 9J of energy to the user, the footplate stores 34J more than a standard prosthesis. Therefore, the hydraulic prosthetic provides a 54% increase in stored energy when compared to a standard prosthesis. The hydraulic circuit manifold prototype was manufactured and tested. Through proof of concept testing, the prototype proved to be slope adaptable by successfully achieving a plantarflexion angle of 16 degrees greater than a standard prosthetic foot currently available on the market.
MIT Department
MIT-SUTD Collaboration
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Department of Mathematics
Massachusetts Institute of Technology. Department of Mechanical Engineering
Massachusetts Institute of Technology. Department of Urban Studies and Planning
Sloan School of Management
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1115/DETC2017-67947
