Literature DB >> 19796947

Implications of using hierarchical and six degree-of-freedom models for normal gait analyses.

Frank L Buczek1, Michael J Rainbow, Kevin M Cooney, Matthew R Walker, James O Sanders.   

Abstract

Hierarchical biomechanical models (conventional gait model, CGM) are attractive because of simple data collection demands, yet they are susceptible to errors that are theoretically better controlled using six degree-of-freedom models that track body segments independently (OPT1). We wished to compare gait variables obtained with these models. Twenty-five normal children walked while wearing a hybrid marker configuration, permitting identical strides to be analyzed using CGM and OPT1. Kinematics and ground reaction forces were obtained using a common motion capture system. CGM and OPT1 were implemented in Visual3D software, where inverse dynamics provided 20 clinically relevant gait variables (joint angles, moments and powers). These were compared between models using dependent t-tests (Bonferroni-adjusted alpha of 0.0025), and ensemble averages. We hypothesized that OPT1 would provide data similar to CGM in the sagittal plane, and different from CGM in coronal and transverse planes. Six variables were significantly different in the sagittal plane, suggesting that CGM produced a more extended lower extremity; this was explained by a posterior bias to the lateral knee marker during knee flexion, as a result of skin movement artifact. No significant differences were found in coronal plane variables. Four variables were significantly different in the transverse plane. Ensemble averages were comparable between models. For normal children, biomechanical interpretations based upon these tested variables are unlikely to change due to independent segment tracking alone (CGM vs. OPT1). Additional differences may appear due to pathology, and when segment reference frames are changed from those used in CGM to reflect individual anatomy. Copyright 2009 Elsevier B.V. All rights reserved.

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Year:  2009        PMID: 19796947     DOI: 10.1016/j.gaitpost.2009.08.245

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


  9 in total

Review 1.  Methodological factors affecting joint moments estimation in clinical gait analysis: a systematic review.

Authors:  Valentina Camomilla; Andrea Cereatti; Andrea Giovanni Cutti; Silvia Fantozzi; Rita Stagni; Giuseppe Vannozzi
Journal:  Biomed Eng Online       Date:  2017-08-18       Impact factor: 2.819

2.  Reliability of the Kinematic Steadiness Index during one-leg standing in subjects with recurrent low back pain.

Authors:  Paul S Sung; Pamela Danial; Dongchul C Lee
Journal:  Eur Spine J       Date:  2017-10-04       Impact factor: 3.134

3.  Effects of ACL reconstruction surgery on muscle activity of the lower limb during a jump-cut maneuver in males and females.

Authors:  Margaret S Coats-Thomas; Daniel L Miranda; Gary J Badger; Braden C Fleming
Journal:  J Orthop Res       Date:  2013-08-21       Impact factor: 3.494

4.  Kinematic differences between optical motion capture and biplanar videoradiography during a jump-cut maneuver.

Authors:  Daniel L Miranda; Michael J Rainbow; Joseph J Crisco; Braden C Fleming
Journal:  J Biomech       Date:  2012-10-22       Impact factor: 2.712

5.  Knee biomechanics during a jump-cut maneuver: effects of sex and ACL surgery.

Authors:  Daniel L Miranda; Paul D Fadale; Michael J Hulstyn; Robert M Shalvoy; Jason T Machan; Braden C Fleming
Journal:  Med Sci Sports Exerc       Date:  2013-05       Impact factor: 5.411

6.  Children with Cerebral Palsy Have Similar Walking and Running Quality Assessed by an Overall Kinematic Index.

Authors:  Devin K Kelly; Mark L McMulkin; Corinna Franklin; Kevin M Cooney
Journal:  Int J Environ Res Public Health       Date:  2021-04-28       Impact factor: 3.390

7.  The impact of thigh and shank marker quantity on lower extremity kinematics using a constrained model.

Authors:  Annelise A Slater; Todd J Hullfish; Josh R Baxter
Journal:  BMC Musculoskelet Disord       Date:  2018-11-13       Impact factor: 2.362

8.  Biomechanical differences between able-bodied and spinal cord injured individuals walking in an overground robotic exoskeleton.

Authors:  Stephen Clive Hayes; Matthew White; Christopher Richard James Wilcox; Hollie Samantha Forbes White; Natalie Vanicek
Journal:  PLoS One       Date:  2022-01-27       Impact factor: 3.240

9.  A survey of human shoulder functional kinematic representations.

Authors:  Rakesh Krishnan; Niclas Björsell; Elena M Gutierrez-Farewik; Christian Smith
Journal:  Med Biol Eng Comput       Date:  2018-10-26       Impact factor: 2.602

  9 in total

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