Literature DB >> 27497755

Reliability of 3D gait data across multiple laboratories.

Kenton Kaufman1, Emily Miller2, Trevor Kingsbury3, Elizabeth Russell Esposito4, Erik Wolf5, Jason Wilken4, Marilynn Wyatt3.   

Abstract

The aim of this study was to analyze the repeatability of gait analysis studies performed across multiple trials, sessions, and laboratories. Ten healthy participants (6 male/4 female, mean age of 30, mean BMI of 24kg/m(2)) were assessed in 3 sessions conducted at each of the three Centers of Excellence for Amputee Care within the Department of Defense. For each test session, kinematic and kinetic parameters were collected during five walking trials for each limb. One independent examiner at each site placed markers on the subjects. Biomechanical data were collected at two walking speeds: self-selected and Froude speed. Variability of the gait data was attributed to inter-trial, inter-session, and inter-lab errors for each subject. These error sources were averaged across all ten subjects to obtain a pooled error estimate. The kinematic errors were fairly consistent at the two walking speeds tested. Median inter-lab kinematic errors were <5.0° (median 2.3°) for all joint angle measurements. However, the kinetic error differed significantly between walking speeds. The median inter-lab kinetic error for the self-selected speed was 0.112Nm/kg (ICR 0.091-0.184) with a maximum of 0.226Nm/kg. The errors were greatly reduced when the subjects walked at their Froude speed. The median inter-lab error was 0.048Nm/kg (ICR 0.025-0.078, maximum 0.086). These data demonstrate that it is possible to get reliable data across multiple gait laboratories, particularly when gait speed is standardized across testing sessions. A key similarity between sites was the use of identical anatomical segment definitions for the respective gait models.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Gait; Motion analysis; Reliability; Reproducibility of results

Mesh:

Year:  2016        PMID: 27497755     DOI: 10.1016/j.gaitpost.2016.07.075

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


  10 in total

1.  Laboratory based assessment of gait and balance impairment in patients with progressive supranuclear palsy.

Authors:  Farwa Ali; Stacy R Loushin; Hugo Botha; Keith A Josephs; Jennifer L Whitwell; Kenton Kaufman
Journal:  J Neurol Sci       Date:  2021-08-25       Impact factor: 4.553

2.  Comparison of kinematic parameters of children gait obtained by inverse and direct models.

Authors:  Jurgita Ziziene; Kristina Daunoraviciene; Giedre Juskeniene; Juozas Raistenskis
Journal:  PLoS One       Date:  2022-06-24       Impact factor: 3.752

3.  Walking speed differentially alters spinal loads in persons with traumatic lower limb amputation.

Authors:  Brad D Hendershot; Iman Shojaei; Julian C Acasio; Christopher L Dearth; Babak Bazrgari
Journal:  J Biomech       Date:  2017-11-28       Impact factor: 2.712

4.  Bilateral Gait 6 and 12 Months Post-Anterior Cruciate Ligament Reconstruction Compared with Controls.

Authors:  Hope C Davis-Wilson; Steven J Pfeiffer; Christopher D Johnston; Matthew K Seeley; Matthew S Harkey; J Troy Blackburn; Ryan P Fockler; Jeffrey T Spang; Brian Pietrosimone
Journal:  Med Sci Sports Exerc       Date:  2020-04

5.  Inertial Measurement Units for Clinical Movement Analysis: Reliability and Concurrent Validity.

Authors:  Mohammad Al-Amri; Kevin Nicholas; Kate Button; Valerie Sparkes; Liba Sheeran; Jennifer L Davies
Journal:  Sensors (Basel)       Date:  2018-02-28       Impact factor: 3.576

6.  Knee Joint Kinematics and Kinetics During Walking and Running After Surgical Achilles Tendon Repair.

Authors:  Daniel Jandacka; Jan Plesek; Jiri Skypala; Jaroslav Uchytil; Julia Freedman Silvernail; Joseph Hamill
Journal:  Orthop J Sports Med       Date:  2018-06-22

Review 7.  Knee Joint Biomechanical Gait Data Classification for Knee Pathology Assessment: A Literature Review.

Authors:  Mariem Abid; Neila Mezghani; Amar Mitiche
Journal:  Appl Bionics Biomech       Date:  2019-05-14       Impact factor: 1.781

8.  Rehabilitation and Return to Sport Assessment after Anterior Cruciate Ligament Injury: Quantifying Joint Kinematics during Complex High-Speed Tasks through Wearable Sensors.

Authors:  Stefano Di Paolo; Nicola Francesco Lopomo; Francesco Della Villa; Gabriele Paolini; Giulio Figari; Laura Bragonzoni; Alberto Grassi; Stefano Zaffagnini
Journal:  Sensors (Basel)       Date:  2021-03-26       Impact factor: 3.576

9.  Perspective: Balance Assessments in Progressive Supranuclear Palsy: Lessons Learned.

Authors:  Marian L Dale; Austin L Prewitt; Graham R Harker; Grace E McBarron; Martina Mancini
Journal:  Front Neurol       Date:  2022-01-27       Impact factor: 4.003

10.  Characteristics of ataxic gait in familial dysautonomia patients.

Authors:  Sigal Portnoy; Channa Maayan; Jeanna Tsenter; Yonah Ofran; Vladimir Goldman; Nurit Hiller; Naama Karniel; Isabella Schwartz
Journal:  PLoS One       Date:  2018-04-26       Impact factor: 3.240

  10 in total

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