Support Vector Machines for detecting recovery from knee replacement surgery using quantitative gait measures

Download
Full text for this resource is not available from the Research Repository.
Export

Levinger, Pazit ORCID: 0000-0001-6660-9183, Lai, Daniel ORCID: 0000-0003-3459-7709, Webster, K, Begg, Rezaul ORCID: 0000-0002-3195-8591 and Feller, J (2007) Support Vector Machines for detecting recovery from knee replacement surgery using quantitative gait measures. In: 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2007), 23 August 2016-26 August 2016, Lyon, France.

Item type Conference or Workshop Item (Paper)
URI https://vuir.vu.edu.au/id/eprint/31030
Official URL http://ieeexplore.ieee.org/document/4353432/
Subjects Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing
Historical > FOR Classification > 1106 Human Movement and Sports Science
Current > Division/Research > College of Sports and Exercise Science
Keywords SVM; knee osteoarthritis; artificial intelligence
Citations in Scopus 16 - View on Scopus
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login

CORE (COnnecting REpositories)