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https://scidar.kg.ac.rs/handle/123456789/11150
Full metadata record
DC Field | Value | Language |
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dc.rights.license | restrictedAccess | - |
dc.contributor.author | Petrovic Savic, Suzana | - |
dc.contributor.author | Devedzic, Goran | - |
dc.contributor.author | Ristic, Branko | - |
dc.contributor.author | Matic, Aleksandar | - |
dc.contributor.author | Prodanovic, Nikola | - |
dc.contributor.author | Stojanović R. | - |
dc.date.accessioned | 2021-04-20T17:37:15Z | - |
dc.date.available | 2021-04-20T17:37:15Z | - |
dc.date.issued | 2018 | - |
dc.identifier.uri | https://scidar.kg.ac.rs/handle/123456789/11150 | - |
dc.description.abstract | © 2018 IEEE. The paper presents preliminary results of the application of a portable motion capture system to define a mathematical model of the movements inside the knee joint (for a clinically healthy knee, for cruciate ligament deficiency and for degenerative disease of the knee). In this study we used the OptiTrack motion capture system. Gathered data were processed with the programming environment MATLAB in order to define a mathematical estimation model and classification algorithm. Clinical verification and the analysis of the classification model performance indicators show the full potential of such motion capture systems for various examinations. | - |
dc.rights | info:eu-repo/semantics/restrictedAccess | - |
dc.rights | info:eu-repo/semantics/restrictedAccess | - |
dc.source | 2018 7th Mediterranean Conference on Embedded Computing, MECO 2018 - Including ECYPS 2018, Proceedings | - |
dc.title | Clinical application of a portable motion capture system: A methodology | - |
dc.type | conferenceObject | - |
dc.identifier.doi | 10.1109/MECO.2018.8405977 | - |
dc.identifier.scopus | 2-s2.0-85050663487 | - |
Appears in Collections: | Faculty of Engineering, Kragujevac Faculty of Medical Sciences, Kragujevac |
Files in This Item:
File | Description | Size | Format | |
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PaperMissing.pdf Restricted Access | 29.86 kB | Adobe PDF | ![]() View/Open |
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