Objective grading of the pivot shift phenomenon using a support vector machine approach.
about
An image analysis method to quantify the lateral pivot shift test.The KneeKG system: a review of the literature.What does it take to have a high-grade pivot shift?Development of computer tablet software for clinical quantification of lateral knee compartment translation during the pivot shift test.Use of inertial sensors to predict pivot-shift grade and diagnose an ACL injury during preoperative testing.Dynamic evaluation of pivot-shift kinematics in physeal-sparing pediatric anterior cruciate ligament reconstruction techniques.Quantitative pivot shift assessment using combined inertial and magnetic sensing.Quantitative evaluation of the pivot shift by image analysis using the iPad.Optimal measurement of clinical rotational test for evaluating anterior cruciate ligament insufficiency.Quantitative comparison of the pivot shift test results before and after anterior cruciate ligament reconstruction by using the three-dimensional electromagnetic measurement system.A novel test for assessment of anterolateral rotatory instability of the knee: the tibial internal rotation test (TIR test)
P2860
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P2860
Objective grading of the pivot shift phenomenon using a support vector machine approach.
description
2011 nî lūn-bûn
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2011年の論文
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2011年学术文章
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2011年学术文章
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name
Objective grading of the pivot shift phenomenon using a support vector machine approach.
@en
Objective grading of the pivot shift phenomenon using a support vector machine approach.
@nl
type
label
Objective grading of the pivot shift phenomenon using a support vector machine approach.
@en
Objective grading of the pivot shift phenomenon using a support vector machine approach.
@nl
prefLabel
Objective grading of the pivot shift phenomenon using a support vector machine approach.
@en
Objective grading of the pivot shift phenomenon using a support vector machine approach.
@nl
P2093
P1476
Objective grading of the pivot shift phenomenon using a support vector machine approach.
@en
P2093
David Baillargeon
David R Labbe
Guy Grimard
Julio Fernandes
Neila Mezghani
Nicola Hagemeister
Patrick Lavigne
Pierre Ranger
Véronique Godbout
P356
10.1016/J.JBIOMECH.2010.08.012
P577
2011-01-01T00:00:00Z