Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/9239
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dc.rights.licenseBY-NC-ND-
dc.contributor.authorMijailovic, Natasa-
dc.contributor.authorVulovic R.-
dc.contributor.authorMilankovic I.-
dc.contributor.authorRadakovic R.-
dc.contributor.authorFilipovic, Nenad-
dc.contributor.authorPeulic A.-
dc.date.accessioned2020-09-19T17:49:13Z-
dc.date.available2020-09-19T17:49:13Z-
dc.date.issued2015-
dc.identifier.issn1748-670X-
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/9239-
dc.description.abstract© 2015 N. Mijailovic et al. Knowledge about the knee cartilage deformation ratio as well as the knee cartilage stress distribution is of particular importance in clinical studies due to the fact that these represent some of the basic indicators of cartilage state and that they also provide information about joint cartilage wear so medical doctors can predict when it is necessary to perform surgery on a patient. In this research, we apply various kinds of sensors such as a system of infrared cameras and reflective markers, three-axis accelerometer, and force plate. The fluorescent marker and accelerometers are placed on the patient's hip, knee, and ankle, respectively. During a normal walk we are recording the space position of markers, acceleration, and ground reaction force by force plate. Measured data are included in the biomechanical model of the knee joint. Geometry for this model is defined from CT images. This model includes the impact of ground reaction forces, contact force between femur and tibia, patient body weight, ligaments, and muscle forces. The boundary conditions are created for the finite element method in order to noninvasively determine the cartilage stress distribution.-
dc.rightsopenAccess-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.sourceComputational and Mathematical Methods in Medicine-
dc.titleAssessment of knee cartilage stress distribution and deformation using motion capture system and wearable sensors for force ratio detection-
dc.typearticle-
dc.identifier.doi10.1155/2015/963746-
dc.identifier.scopus2-s2.0-84941671046-
Appears in Collections:Faculty of Engineering, Kragujevac

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