Understanding the design variables that contribute to the response of a prosthetic foot: Part II - Rig Validation

Authors: Hawkins, J., Sewell, P., Dupac, M. and noroozi, S.

http://eprints.bournemouth.ac.uk/25024/

http://ieeexplore.ieee.org/Xplore/home.jsp

Start date: 14 September 2016

DOI: 10.1109/MEDO.2016.7746539

In this paper the validation of a rig capable of replicating the dynamic response of an energy storing and returning composite prosthetic foot during amputee running is considered. It is shown that the rig can effectively replicate the running action of an amputee runner and return the same ground contact time. It has also been shown that if a small input force is applied in a timed and sympathetic manner to the prosthetic spring-mass system the amplitude of oscillation increases which agrees with results of previous research. The rig will allow the design variables that contribute to the response of a prosthetic foot during running to be understood and optimised to improve the foot’s performance.

This data was imported from Scopus:

Authors: Hawkins, J., Sewell, P. and Dupac, M.

http://eprints.bournemouth.ac.uk/25024/

Journal: 1st International Conference on Multidisciplinary Engineering Design Optimization, MEDO 2016

ISBN: 9781509021116

DOI: 10.1109/MEDO.2016.7746539

© 2016 IEEE. In this paper the validation of a rig capable of simulating the dynamic response of an energy storing and returning composite prosthetic foot during amputee running is considered. It is shown that the rig can simulate the running action of an amputee runner and return similar ground contact time. It has also been shown that if a small input force is applied in a timed and sympathetic manner to the prosthetic spring-mass system the amplitude of oscillation increases which agrees with results of previous research. The rig will allow the design variables that contribute to the response of a prosthetic foot during running to be understood and optimised to possible improve the foot's performance.

This source preferred by Mihai Dupac, Siamak Noroozi and Philip Sewell

This data was imported from Web of Science (Lite):

Authors: Hawkins, J., Sewell, P. and Dupac, M.

http://eprints.bournemouth.ac.uk/25024/

Journal: PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE MULTIDISCIPLINARY ENGINEERING DESIGN OPTIMIZATION (MEDO)

The data on this page was last updated at 04:42 on September 25, 2017.