Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/11150
Title: Clinical application of a portable motion capture system: A methodology
Authors: Savić B.
Devedzic G.
Ristic, Branko
Matic, Aleksandar
Prodanovic, Nikola
Stojanović R.
Journal: 2018 7th Mediterranean Conference on Embedded Computing, MECO 2018 - Including ECYPS 2018, Proceedings
Issue Date: 6-Jul-2018
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.
URI: https://scidar.kg.ac.rs/handle/123456789/11150
Type: conferenceObject
DOI: 10.1109/MECO.2018.8405977
SCOPUS: 85050663487
Appears in Collections:Faculty of Medical Sciences, Kragujevac

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