Research Repository

Identification of patellofemoral pain syndrome using a Support Vector Machine approach

Lai, Daniel ORCID: 0000-0003-3459-7709, Levinger, Pazit ORCID: 0000-0001-6660-9183, Begg, Rezaul ORCID: 0000-0002-3195-8591, Gilleard, W and Palaniswami, M (2007) Identification of patellofemoral pain syndrome using a Support Vector Machine approach. In: 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2007), 23 August 2016-26 August 2016, Lyon, France.

Full text for this resource is not available from the Research Repository.
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: knee pain; PFPS; diagnosis; SVM; artificial intelligence; foot kinematics; gait
Subjects: FOR Classification > 0801 Artificial Intelligence and Image Processing
FOR Classification > 1106 Human Movement and Sports Science
Faculty/School/Research Centre/Department > College of Sports and Exercise Science
Depositing User: Symplectic Elements
Date Deposited: 25 Aug 2016 23:32
Last Modified: 01 Aug 2019 06:39
URI: http://vuir.vu.edu.au/id/eprint/31029
DOI: https://doi.org/10.1109/IEMBS.2007.4352996
ePrint Statistics: View download statistics for this item
Citations in Scopus: 7 - View on Scopus

Repository staff only

View Item View Item

Search Google Scholar