Literature DB >> 28821242

Methodological factors affecting joint moments estimation in clinical gait analysis: a systematic review.

Valentina Camomilla1,2, Andrea Cereatti2,3,4, Andrea Giovanni Cutti5, Silvia Fantozzi6, Rita Stagni6, Giuseppe Vannozzi1,2.   

Abstract

Quantitative gait analysis can provide a description of joint kinematics and dynamics, and it is recognized as a clinically useful tool for functional assessment, diagnosis and intervention planning. Clinically interpretable parameters are estimated from quantitative measures (i.e. ground reaction forces, skin marker trajectories, etc.) through biomechanical modelling. In particular, the estimation of joint moments during motion is grounded on several modelling assumptions: (1) body segmental and joint kinematics is derived from the trajectories of markers and by modelling the human body as a kinematic chain; (2) joint resultant (net) loads are, usually, derived from force plate measurements through a model of segmental dynamics. Therefore, both measurement errors and modelling assumptions can affect the results, to an extent that also depends on the characteristics of the motor task analysed (i.e. gait speed). Errors affecting the trajectories of joint centres, the orientation of joint functional axes, the joint angular velocities, the accuracy of inertial parameters and force measurements (concurring to the definition of the dynamic model), can weigh differently in the estimation of clinically interpretable joint moments. Numerous studies addressed all these methodological aspects separately, but a critical analysis of how these aspects may affect the clinical interpretation of joint dynamics is still missing. This article aims at filling this gap through a systematic review of the literature, conducted on Web of Science, Scopus and PubMed. The final objective is hence to provide clear take-home messages to guide laboratories in the estimation of joint moments for the clinical practice.

Entities:  

Keywords:  Dynamics; Error propagation; Gait analysis methodology; Inverse dynamics approach; Joint moments; Kinematics; Reliability; Reproducibility; Sensitivity; Stereophotogrammetry

Mesh:

Year:  2017        PMID: 28821242      PMCID: PMC5563001          DOI: 10.1186/s12938-017-0396-x

Source DB:  PubMed          Journal:  Biomed Eng Online        ISSN: 1475-925X            Impact factor:   2.819


  112 in total

1.  The effect of segment parameter error on gait analysis results.

Authors:  D J Pearsall; P A Costigan
Journal:  Gait Posture       Date:  1999-07       Impact factor: 2.840

2.  Do strain gauge force platforms need in situ correction?

Authors:  Nachiappan Chockalingam; Giannis Giakas; Anna Iossifidou
Journal:  Gait Posture       Date:  2002-12       Impact factor: 2.840

3.  Reliability, repeatability and reproducibility: analysis of measurement errors in continuous variables.

Authors:  J W Bartlett; C Frost
Journal:  Ultrasound Obstet Gynecol       Date:  2008-04       Impact factor: 7.299

4.  Subject-specific hip geometry and hip joint centre location affects calculated contact forces at the hip during gait.

Authors:  G Lenaerts; W Bartels; F Gelaude; M Mulier; A Spaepen; G Van der Perre; I Jonkers
Journal:  J Biomech       Date:  2009-05-21       Impact factor: 2.712

5.  Kalman smoothing improves the estimation of joint kinematics and kinetics in marker-based human gait analysis.

Authors:  F De Groote; T De Laet; I Jonkers; J De Schutter
Journal:  J Biomech       Date:  2008-11-20       Impact factor: 2.712

6.  Inter-laboratory consistency of gait analysis measurements.

Authors:  M G Benedetti; A Merlo; A Leardini
Journal:  Gait Posture       Date:  2013-05-25       Impact factor: 2.840

7.  Reliability and accuracy in three-dimensional gait analysis: a comparison of two lower body protocols.

Authors:  Felix Stief; Harald Böhm; Katja Michel; Ansgar Schwirtz; Leonhard Döderlein
Journal:  J Appl Biomech       Date:  2012-07-06       Impact factor: 1.833

8.  Computed tomography-based joint locations affect calculation of joint moments during gait when compared to scaling approaches.

Authors:  Ward Bartels; Jan Demol; Frederik Gelaude; Ilse Jonkers; Jos Vander Sloten
Journal:  Comput Methods Biomech Biomed Engin       Date:  2014-03-18       Impact factor: 1.763

9.  Sensitivity of a subject-specific musculoskeletal model to the uncertainties on the joint axes location.

Authors:  Saulo Martelli; Giordano Valente; Marco Viceconti; Fulvia Taddei
Journal:  Comput Methods Biomech Biomed Engin       Date:  2014-06-25       Impact factor: 1.763

10.  MRI-derived body segment parameters of children differ from age-based estimates derived using photogrammetry.

Authors:  Jeremy J Bauer; Michael J Pavol; Christine M Snow; Wilson C Hayes
Journal:  J Biomech       Date:  2007-04-25       Impact factor: 2.712

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  13 in total

Review 1.  [Kinematic examination of the musculoskeletal system : Use of methods of image and image sequence analyses as well as shape and motion models].

Authors:  S Landgraeber; J Pauli
Journal:  Orthopade       Date:  2018-10       Impact factor: 1.087

2.  Soft tissue artifact causes underestimation of hip joint kinematics and kinetics in a rigid-body musculoskeletal model.

Authors:  Niccolo M Fiorentino; Penny R Atkins; Michael J Kutschke; K Bo Foreman; Andrew E Anderson
Journal:  J Biomech       Date:  2020-06-13       Impact factor: 2.712

3.  The effect of modelling parameters in the development and validation of knee joint models on ligament mechanics: A systematic review.

Authors:  Sara Sadat Farshidfar; Joseph Cadman; Danny Deng; Richard Appleyard; Danè Dabirrahmani
Journal:  PLoS One       Date:  2022-01-27       Impact factor: 3.240

4.  The gait deviations of ankylosing spondylitis with hip involvement.

Authors:  Guoning Zhang; Jia Li; Zhengliang Xia; Weidong Xu
Journal:  Clin Rheumatol       Date:  2019-01-04       Impact factor: 2.980

5.  Step descent strategy is altered bilaterally despite unilateral muscle strength impairment after total knee arthroplasty.

Authors:  Paul W Kline; Cale A Jacobs; Stephen T Duncan; Brian Noehren
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2019-06-14       Impact factor: 4.114

6.  Influence of the load exerted over a forearm crutch in spatiotemporal step parameters during assisted gait: pilot study.

Authors:  Carmen Ridao-Fernández; Gema Chamorro-Moriana; Joaquín Ojeda
Journal:  Biomed Eng Online       Date:  2018-07-18       Impact factor: 2.819

7.  Comparison of lower limb segment forces during running on artificial turf and natural grass.

Authors:  Shea McMurtry; Goeran Fiedler
Journal:  J Rehabil Assist Technol Eng       Date:  2019-05-13

Review 8.  A Review of the Evolution of Vision-Based Motion Analysis and the Integration of Advanced Computer Vision Methods Towards Developing a Markerless System.

Authors:  Steffi L Colyer; Murray Evans; Darren P Cosker; Aki I T Salo
Journal:  Sports Med Open       Date:  2018-06-05

9.  Inertial properties of the German Shepherd Dog.

Authors:  O Yvette Jones; Silvia U Raschke; Philip E Riches
Journal:  PLoS One       Date:  2018-10-19       Impact factor: 3.240

10.  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

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