Literature DB >> 22245226

Sensitivity of the OLGA and VCM models to erroneous marker placement: effects on 3D-gait kinematics.

B E Groen1, M Geurts, B Nienhuis, J Duysens.   

Abstract

Gait data need to be reliable to be valuable for clinical decision-making. To reduce the impact of marker placement errors, the Optimized Lower Limb Gait Analysis (OLGA) model was developed. The purpose of this study was to assess the sensitivity of the kinematic gait data to a standard marker displacement of the OLGA model compared with the standard Vicon Clinical Manager (VCM) model and to determine whether OLGA reduces the errors due to the most critical marker displacements. Healthy adults performed six gait sessions. The first session was a standard gait session. For the following sessions, 10mm marker displacements were applied. Kinematic data were collected for both models. The root mean squares of the differences (RMS) were calculated for the kinematics of the displacement sessions with respect to the first session. The results showed that the RMS values were generally larger than the stride-to-stride variation except for the pelvic kinematics. For the ankle, knee and hip kinematics, OLGA significantly reduced the averaged RMS values for most planes. The shank, knee and thigh anterior-posterior marker displacements resulted in RMS values exceeding 10°. OLGA reduced the errors due to the knee and thigh marker displacements, but not the errors due to the ankle marker displacements. In conclusion, OLGA reduces the effect of erroneous marker placement, but does not fully compensate all effects, indicating that accurate marker placement remains of crucial importance for adequate 3D-gait analysis and subsequent clinical decision-making. Copyright Â
© 2011 Elsevier B.V. All rights reserved.

Mesh:

Year:  2012        PMID: 22245226     DOI: 10.1016/j.gaitpost.2011.11.019

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  7 in total

1.  Global sensitivity analysis of the joint kinematics during gait to the parameters of a lower limb multi-body model.

Authors:  Aimad El Habachi; Florent Moissenet; Sonia Duprey; Laurence Cheze; Raphaël Dumas
Journal:  Med Biol Eng Comput       Date:  2015-03-18       Impact factor: 2.602

2.  A principal component analysis approach to correcting the knee flexion axis during gait.

Authors:  Elisabeth Jensen; Vipul Lugade; Jeremy Crenshaw; Emily Miller; Kenton Kaufman
Journal:  J Biomech       Date:  2016-04-02       Impact factor: 2.712

3.  The effect of subject measurement error on joint kinematics in the conventional gait model: Insights from the open-source pyCGM tool using high performance computing methods.

Authors:  Mathew Schwartz; Philippe C Dixon
Journal:  PLoS One       Date:  2018-01-02       Impact factor: 3.240

4.  Development of a multibody model to assess efforts along the spine for the rehabilitation of adolescents with idiopathic scoliosis.

Authors:  Mireille Larouche Guilbert; Maxime Raison; Carole Fortin; Sofiane Achiche
Journal:  J Musculoskelet Neuronal Interact       Date:  2019-03-01       Impact factor: 2.041

5.  Agreement between An Inertia and Optical Based Motion Capture during the VU-Return-to-Play- Field-Test.

Authors:  Chris Richter; Katherine A J Daniels; Enda King; Andrew Franklyn-Miller
Journal:  Sensors (Basel)       Date:  2020-02-04       Impact factor: 3.576

6.  Kinematic Modeling at the Ant Scale: Propagation of Model Parameter Uncertainties.

Authors:  Santiago Arroyave-Tobon; Jordan Drapin; Anton Kaniewski; Jean-Marc Linares; Pierre Moretto
Journal:  Front Bioeng Biotechnol       Date:  2022-03-01

7.  Impact of knee marker misplacement on gait kinematics of children with cerebral palsy using the Conventional Gait Model-A sensitivity study.

Authors:  Mickael Fonseca; Xavier Gasparutto; Fabien Leboeuf; Raphaël Dumas; Stéphane Armand
Journal:  PLoS One       Date:  2020-04-24       Impact factor: 3.240

  7 in total

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