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

doi:10.5220/0006586601760181

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

Medicine

Medicine

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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.

Original language	English
Title of host publication	BIOSIGNALS 2018 - 11th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018
Editors	Giovanni Saggio, Hugo Gamboa, Ana Fred, Sergi Bermudez i Badia
Publisher	SciTePress
Pages	176-181
Number of pages	6
ISBN (Electronic)	9789897582790
DOIs	https://doi.org/10.5220/0006586601760181
Publication status	Published - 2018
Event	11th International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2018 - Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018 - Funchal, Madeira, Portugal Duration: Jan 19 2018 → Jan 21 2018

Publication series

Name	BIOSIGNALS 2018 - 11th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018
Volume	4

Conference

Conference	11th International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2018 - Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018
Country/Territory	Portugal
City	Funchal, Madeira
Period	1/19/18 → 1/21/18

Bibliographical note

Funding Information:
This research was supported in part by the Natural Sciences and Engineering Research Council Grant (RGPIN-2015-03853) and the Canada Research Chair on Biomedical Data Mining (950-231214). The authors would like to thank Hilary Mac Donald and Tim Parlee for the kinematic data collection.

Publisher Copyright:
Copyright © 2018 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved

ASJC Scopus Subject Areas

Signal Processing
Biomedical Engineering
Electrical and Electronic Engineering

Access to Document

10.5220/0006586601760181

Cite this

Ben Arous, M. A., Dunbar, M., Arfaoui, S., Mitiche, A., Ouakrim, Y., Fuentes, A., Richardson, G., & Mezghani, N. (2018). Knee kinematics feature selection for surgical and nonsurgical arthroplasty candidate characterization. In G. Saggio, H. Gamboa, A. Fred, & S. Bermudez i Badia (Eds.), BIOSIGNALS 2018 - 11th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018 (pp. 176-181). (BIOSIGNALS 2018 - 11th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018; Vol. 4). SciTePress. https://doi.org/10.5220/0006586601760181

Knee kinematics feature selection for surgical and nonsurgical arthroplasty candidate characterization. / Ben Arous, M. A.; Dunbar, M.; Arfaoui, S. et al.
BIOSIGNALS 2018 - 11th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018. ed. / Giovanni Saggio; Hugo Gamboa; Ana Fred; Sergi Bermudez i Badia. SciTePress, 2018. p. 176-181 (BIOSIGNALS 2018 - 11th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018; Vol. 4).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ben Arous, MA, Dunbar, M, Arfaoui, S, Mitiche, A, Ouakrim, Y, Fuentes, A, Richardson, G & Mezghani, N 2018, Knee kinematics feature selection for surgical and nonsurgical arthroplasty candidate characterization. in G Saggio, H Gamboa, A Fred & S Bermudez i Badia (eds), BIOSIGNALS 2018 - 11th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018. BIOSIGNALS 2018 - 11th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018, vol. 4, SciTePress, pp. 176-181, 11th International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2018 - Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018, Funchal, Madeira, Portugal, 1/19/18. https://doi.org/10.5220/0006586601760181

Ben Arous MA, Dunbar M, Arfaoui S, Mitiche A, Ouakrim Y, Fuentes A et al. Knee kinematics feature selection for surgical and nonsurgical arthroplasty candidate characterization. In Saggio G, Gamboa H, Fred A, Bermudez i Badia S, editors, BIOSIGNALS 2018 - 11th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018. SciTePress. 2018. p. 176-181. (BIOSIGNALS 2018 - 11th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018). doi: 10.5220/0006586601760181

Ben Arous, M. A. ; Dunbar, M. ; Arfaoui, S. et al. / Knee kinematics feature selection for surgical and nonsurgical arthroplasty candidate characterization. BIOSIGNALS 2018 - 11th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018. editor / Giovanni Saggio ; Hugo Gamboa ; Ana Fred ; Sergi Bermudez i Badia. SciTePress, 2018. pp. 176-181 (BIOSIGNALS 2018 - 11th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018).

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AU - Fuentes, A.

AU - Richardson, G.

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Knee kinematics feature selection for surgical and nonsurgical arthroplasty candidate characterization

Abstract

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Conference

Bibliographical note

ASJC Scopus Subject Areas

Access to Document

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