Inter-laboratory consistency of gait analysis measurements
- PMID: 23711987
- DOI: 10.1016/j.gaitpost.2013.04.022
Inter-laboratory consistency of gait analysis measurements
Abstract
The dissemination of gait analysis as a clinical assessment tool requires the results to be consistent, irrespective of the laboratory. In this work a baseline assessment of between site consistency of one healthy subject examined at 7 different laboratories is presented. Anthropometric and spatio-temporal parameters, pelvis and lower limb joint rotations, joint sagittal moments and powers, and ground reaction forces were compared. The consistency between laboratories for single parameters was assessed by the median absolute deviation and maximum difference, for curves by linear regression. Twenty-one lab-to-lab comparisons were performed and averaged. Large differences were found between the characteristics of the laboratories (i.e. motion capture systems and protocols). Different values for the anthropometric parameters were found, with the largest variability for a pelvis measurement. The spatio-temporal parameters were in general consistent. Segment and joint kinematics consistency was in general high (R2>0.90), except for hip and knee joint rotations. The main difference among curves was a vertical shift associated to the corresponding value in the static position. The consistency between joint sagittal moments ranged form R2=0.90 at the ankle to R2=0.66 at the hip, the latter was increasing when comparing separately laboratories using the same protocol. Pattern similarity was good for ankle power but not satisfactory for knee and hip power. The force was found the most consistent, as expected. The differences found were in general lower than the established minimum detectable changes for gait kinematics and kinetics for healthy adults.
Keywords: Consistency; Gait analysis; Inter-laboratory.
Copyright © 2013 Elsevier B.V. All rights reserved.
Similar articles
-
Single-leg hop testing following fatiguing exercise: reliability and biomechanical analysis.Scand J Med Sci Sports. 2006 Apr;16(2):111-20. doi: 10.1111/j.1600-0838.2005.00446.x. Scand J Med Sci Sports. 2006. PMID: 16533349
-
Kinematic and kinetic analysis during forward and backward walking.Gait Posture. 2013 Sep;38(4):674-8. doi: 10.1016/j.gaitpost.2013.02.014. Epub 2013 Mar 29. Gait Posture. 2013. PMID: 23541766
-
Pelvic and lower limb compensatory actions of subjects in an early stage of hip osteoarthritis.Arch Phys Med Rehabil. 2001 Dec;82(12):1705-11. doi: 10.1053/apmr.2001.26812. Arch Phys Med Rehabil. 2001. PMID: 11733886
-
A comparison of kinetic gait parameters for 3-13 year olds.Clin Biomech (Bristol). 2006 Aug;21(7):726-32. doi: 10.1016/j.clinbiomech.2006.02.007. Epub 2006 May 22. Clin Biomech (Bristol). 2006. PMID: 16716474 Clinical Trial.
-
Joint kinetics during Tai Chi gait and normal walking gait in young and elderly Tai Chi Chuan practitioners.Clin Biomech (Bristol). 2008 Jul;23(6):787-95. doi: 10.1016/j.clinbiomech.2008.02.001. Epub 2008 Mar 14. Clin Biomech (Bristol). 2008. PMID: 18342415
Cited by
-
The inter-tester repeatability of a model for analysing elbow flexion-extension during overhead sporting movements.Med Biol Eng Comput. 2018 Oct;56(10):1853-1860. doi: 10.1007/s11517-018-1820-5. Epub 2018 Apr 3. Med Biol Eng Comput. 2018. PMID: 29611098
-
Validity Analysis of WalkerViewTM Instrumented Treadmill for Measuring Spatiotemporal and Kinematic Gait Parameters.Sensors (Basel). 2021 Jul 14;21(14):4795. doi: 10.3390/s21144795. Sensors (Basel). 2021. PMID: 34300534 Free PMC article.
-
MOtoNMS: A MATLAB toolbox to process motion data for neuromusculoskeletal modeling and simulation.Source Code Biol Med. 2015 Nov 16;10:12. doi: 10.1186/s13029-015-0044-4. eCollection 2015. Source Code Biol Med. 2015. PMID: 26579208 Free PMC article.
-
Does joint hypermobility exacerbate altered landing and jumping strategies in adolescents with fibromyalgia syndrome compared to controls?Clin Biomech (Bristol). 2025 Apr;124:106466. doi: 10.1016/j.clinbiomech.2025.106466. Epub 2025 Feb 21. Clin Biomech (Bristol). 2025. PMID: 40048834
-
Gait analysis methods: an overview of wearable and non-wearable systems, highlighting clinical applications.Sensors (Basel). 2014 Feb 19;14(2):3362-94. doi: 10.3390/s140203362. Sensors (Basel). 2014. PMID: 24556672 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Miscellaneous