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In a subsequent study, the selected features will
serve as input to build classification models to help
discriminate automatically surgical from nonsurgical
arthroplasty subjects.
ACKNOWLEDGEMENTS
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.
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Knee Kinematics Feature Selection for Surgical and Nonsurgical Arthroplasty Candidate Characterization
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