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Authors: M. A. Ben Arous 1 ; M. Dunbar 2 ; S. Arfaoui 3 ; A. Mitiche 4 ; Y. Ouakrim 5 ; A. Fuentes 6 ; G. Richardson 2 and N. Mezghani 5

Affiliations: 1 Collège Bois de Boulogne and ETS/CRCHUM, Canada ; 2 Dalhousie University, Canada ; 3 Collège Jean-de-Brébeuf and ETS/CRCHUM, Canada ; 4 INRS Énergie, Matériaux et Télécommunications and, Canada ; 5 TELUQ University and ETS/CRCHUM, Canada ; 6 ETS/CRCHUM, Canada

ISBN: 978-989-758-279-0

Keyword(s): Knee Kinematic, Biomechanical Data, Feature Selection, Complexity Measures, Arthroplasty.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Medical Image Detection, Acquisition, Analysis and Processing ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

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 several formats:
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

@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},
}

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

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