Locating anatomical landmarks for prosthetics design using ensemble neural networks

Daniel Jimenez, Thomas Darm, Bill Rogers, Nicolas Walsh

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

4 Scopus citations

Abstract

Computer aided design of a prosthesis for a below-the-knee (trans-tibial) amputee begins with a digitized representation of the shape of the residual limb. Certain anatomical landmarks must be located on this shape to identify optimal areas for load and pressure relief. A method of locating the midpoint of the patellar tendon, the distal end of the tibia and the head of the fibula is presented. The method involves training ensembles of neural networks on shapes for which the markers have been located manually; the neural networks are then used to find the landmarks for arbitrary shapes. Experimental results show that the method is at least as accurate as a trained prosthetist.

Original languageEnglish (US)
Title of host publication1997 IEEE International Conference on Neural Networks, ICNN 1997
Pages81-85
Number of pages5
DOIs
StatePublished - Dec 1 1997
Event1997 IEEE International Conference on Neural Networks, ICNN 1997 - Houston, TX, United States
Duration: Jun 9 1997Jun 12 1997

Publication series

NameIEEE International Conference on Neural Networks - Conference Proceedings
Volume1
ISSN (Print)1098-7576

Conference

Conference1997 IEEE International Conference on Neural Networks, ICNN 1997
CountryUnited States
CityHouston, TX
Period6/9/976/12/97

ASJC Scopus subject areas

  • Software

Fingerprint Dive into the research topics of 'Locating anatomical landmarks for prosthetics design using ensemble neural networks'. Together they form a unique fingerprint.

  • Cite this

    Jimenez, D., Darm, T., Rogers, B., & Walsh, N. (1997). Locating anatomical landmarks for prosthetics design using ensemble neural networks. In 1997 IEEE International Conference on Neural Networks, ICNN 1997 (pp. 81-85). [611641] (IEEE International Conference on Neural Networks - Conference Proceedings; Vol. 1). https://doi.org/10.1109/ICNN.1997.611641