Knee Kinematics Feature Selection for Surgical and Nonsurgical Arthroplasty Candidate Characterization

M. A. Ben Arous, M. Dunbar, S. Arfaoui, A. Mitiche, Y. Ouakrim, A. Fuentes, G. Richardson, N. Mezghani

Abstract

The purpose of this study is to investigate a method to select a set of knee kinematic data features to characterize surgical vs nonsurgical arthroplasty subjects. The kinematic features are generated from 3D knee kinematic data patterns, namely, rotations of flexion-extension, abduction-adduction, and tibial internal-external recorded during a walking task on a dedicated treadmill. The discrimination features are selected using three types of statistical complexity measures: the Fisher discriminant ratio, volume of overlap region, and feature efficiency. The interclass distance measurements which the features thus selected induce demonstrate their effectiveness to characterize surgical and nonsurgical subjects for arthroplasty.

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Paper Citation


in Harvard Style

Ben Arous M., Dunbar M., Arfaoui S., Mitiche A., Ouakrim Y., Fuentes A., Richardson G. and Mezghani N. (2018). Knee Kinematics Feature Selection for Surgical and Nonsurgical Arthroplasty Candidate Characterization.In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: BIOSIGNALS, ISBN 978-989-758-279-0, pages 176-181. DOI: 10.5220/0006586601760181


in Bibtex Style

@conference{biosignals18,
author={M. A. Ben Arous and M. Dunbar and S. Arfaoui and A. Mitiche and Y. Ouakrim and A. Fuentes and G. Richardson and N. Mezghani},
title={Knee Kinematics Feature Selection for Surgical and Nonsurgical Arthroplasty Candidate Characterization},
booktitle={Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: BIOSIGNALS,},
year={2018},
pages={176-181},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006586601760181},
isbn={978-989-758-279-0},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: BIOSIGNALS,
TI - Knee Kinematics Feature Selection for Surgical and Nonsurgical Arthroplasty Candidate Characterization
SN - 978-989-758-279-0
AU - Ben Arous M.
AU - Dunbar M.
AU - Arfaoui S.
AU - Mitiche A.
AU - Ouakrim Y.
AU - Fuentes A.
AU - Richardson G.
AU - Mezghani N.
PY - 2018
SP - 176
EP - 181
DO - 10.5220/0006586601760181