Literature DB >> 17257845

Repeatability of lower limb three-dimensional kinematics in patients with stroke.

Gunes Yavuzer1, Oznur Oken, Atilla Elhan, Henk J Stam.   

Abstract

The within- and between-session repeatability of time-distance and sagittal plane kinematic gait parameters were evaluated in 20 hemiparetic patients with sub-acute stroke. A test-retest design was used in which the patients were tested during two sessions within a 2h period. Each session comprised three consecutive trials. The intraclass correlation coefficients (ICCs) for time-distance parameters ranged from 0.82 to 0.99. The within- and between-session repeatability of pelvis, hip, knee and ankle kinematic waveforms were high: the mean coefficient of multiple correlations (CMCs) ranged from 0.85 to 0.95. The within-session coefficient of variation (CV%) for time-distance parameters ranged from 3.9 to 14.1, whereas, between-session CV% ranged from 6.1 to 17.2, showing similar but higher variability. The within- and between-session CV% for sagittal plane kinematics of the paretic lower limb ranged from 3.6 to 32.4. The results indicate that time-distance parameters and sagittal plane gait kinematics of the paretic lower limb, measured by the Vicon 370 gait analysis system, are repeatable and can be used to assess treatment effects after stroke.

Entities:  

Mesh:

Year:  2007        PMID: 17257845     DOI: 10.1016/j.gaitpost.2006.12.016

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


  20 in total

1.  Minimal detectable change for gait variables collected during treadmill walking in individuals post-stroke.

Authors:  Trisha M Kesar; Stuart A Binder-Macleod; Gregory E Hicks; Darcy S Reisman
Journal:  Gait Posture       Date:  2010-12-22       Impact factor: 2.840

2.  Development of custom measurement system for biomechanical evaluation of independent wheelchair transfers.

Authors:  Alicia M Koontz; Yen-Sheng Lin; Padmaja Kankipati; Michael L Boninger; Rory A Cooper
Journal:  J Rehabil Res Dev       Date:  2011

3.  No detectable major changes in gait analysis after soft tissue release in DDH.

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4.  Inter-operator reliability and prediction bands of a novel protocol to measure the coordinated movements of shoulder-girdle and humerus in clinical settings.

Authors:  Pietro Garofalo; Andrea Giovanni Cutti; Maria Vittoria Filippi; Stefano Cavazza; Alberto Ferrari; Angelo Cappello; Angelo Davalli
Journal:  Med Biol Eng Comput       Date:  2009-02-17       Impact factor: 2.602

5.  First in vivo assessment of "Outwalk": a novel protocol for clinical gait analysis based on inertial and magnetic sensors.

Authors:  Alberto Ferrari; Andrea Giovanni Cutti; Pietro Garofalo; Michele Raggi; Monique Heijboer; Angelo Cappello; Angelo Davalli
Journal:  Med Biol Eng Comput       Date:  2009-11-13       Impact factor: 2.602

6.  Reliable sagittal plane kinematic gait assessments are feasible using low-cost webcam technology.

Authors:  Robert J Saner; Edward P Washabaugh; Chandramouli Krishnan
Journal:  Gait Posture       Date:  2017-04-30       Impact factor: 2.840

Review 7.  Advancing measurement of locomotor rehabilitation outcomes to optimize interventions and differentiate between recovery versus compensation.

Authors:  Mark G Bowden; Andrea L Behrman; Michelle Woodbury; Chris M Gregory; Craig A Velozo; Steven A Kautz
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8.  Variations in kinematics during clinical gait analysis in stroke patients.

Authors:  Julien Boudarham; Nicolas Roche; Didier Pradon; Céline Bonnyaud; Djamel Bensmail; Raphael Zory
Journal:  PLoS One       Date:  2013-06-17       Impact factor: 3.240

9.  Reliability of instrumented movement analysis as outcome measure in Charcot-Marie-Tooth disease: results from a multitask locomotor protocol.

Authors:  M Ferrarin; G Bovi; M Rabuffetti; P Mazzoleni; A Montesano; I Moroni; E Pagliano; A Marchi; C Marchesi; E Beghi; D Pareyson
Journal:  Gait Posture       Date:  2011-04-21       Impact factor: 2.840

10.  A wearable ground reaction force sensor system and its application to the measurement of extrinsic gait variability.

Authors:  Tao Liu; Yoshio Inoue; Kyoko Shibata
Journal:  Sensors (Basel)       Date:  2010-11-16       Impact factor: 3.576

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