@inproceedings{3af8571ce5a04786bb1abdcbaf25a513,
title = "Knee kinematics feature selection for surgical and nonsurgical arthroplasty candidate characterization",
author = "{Ben Arous}, {M. A.} and M. Dunbar and S. Arfaoui and A. Mitiche and Y. Ouakrim and A. Fuentes and G. Richardson and N. Mezghani",
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 {\textcopyright} 2018 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved; 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 ; Conference date: 19-01-2018 Through 21-01-2018",
year = "2018",
doi = "10.5220/0006586601760181",
language = "English",
series = "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",
publisher = "SciTePress",
pages = "176--181",
editor = "Giovanni Saggio and Hugo Gamboa and Ana Fred and {Bermudez i Badia}, Sergi",
booktitle = "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",
}