Evidence map›Paper›PMID 26417382›Full record

ArticleComputational and mathematical methods in medicine2015

Assessment of Knee Cartilage Stress Distribution and Deformation Using Motion Capture System and Wearable Sensors for Force Ratio Detection.

N Mijailovic, R Vulovic, I Milankovic, R Radakovic, N Filipovic, A Peulic

Abstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

N MijailovicFaculty of Engineering, University of Kragujevac, Sestre Janjic 6, 34000 Kragujevac, Serbia.
R VulovicFaculty of Engineering, University of Kragujevac, Sestre Janjic 6, 34000 Kragujevac, Serbia ; Bioengineering Research and Development Center Kragujevac, Prvoslava Stojanovica 6, 34000 Kragujevac, Serbia.
I MilankovicFaculty of Engineering, University of Kragujevac, Sestre Janjic 6, 34000 Kragujevac, Serbia ; Bioengineering Research and Development Center Kragujevac, Prvoslava Stojanovica 6, 34000 Kragujevac, Serbia.
R RadakovicBioengineering Research and Development Center Kragujevac, Prvoslava Stojanovica 6, 34000 Kragujevac, Serbia.
N FilipovicFaculty of Engineering, University of Kragujevac, Sestre Janjic 6, 34000 Kragujevac, Serbia ; Bioengineering Research and Development Center Kragujevac, Prvoslava Stojanovica 6, 34000 Kragujevac, Serbia.
A PeulicFaculty of Engineering, University of Kragujevac, Sestre Janjic 6, 34000 Kragujevac, Serbia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Models, BiologicalAccelerometryBiomechanical PhenomenaCartilage, ArticularComputer SimulationFinite Element AnalysisHumansImaging, Three-DimensionalKnee JointTomography, X-Ray ComputedWalking

Identifiers

PMID26417382
PMCPMC4568355

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.