Literature DB >> 11378426

The evolution of clinical gait analysis part l: kinesiological EMG.

D H Sutherland1.   

Abstract

In 1996, I was asked by Roy Davis, President of the Gait and Clinical Movement Analysis Society, to be the presidential guest speaker at the Birmingham, AL, annual society meeting and present a talk on the development of clinical gait analysis. Following my presentation, James Gage, Editor-in-Chief for Gait and Posture, and David Winter, Associate Editor for review articles requested a manuscript for publication. To address this task I have the advantage of being a participant throughout this exciting era and of personally knowing most of the people mentioned in this manuscript. To prepare for this assignment, I wrote letters and/or made phone calls to them. Their replies to my inquiries, plus their publications, provide documentation for this review paper. The opinions expressed, for better or worse, are my own. Due to space limitations, only a partial list of the many that have contributed is presented and I regret that not all of the important contributors have been included. In some instances they will be found in Part II and Part III. Hopefully, later publications on this subject will correct the omissions. Emphasis has been given to the earliest years and to walking gait. The subject of upper extremity analysis has not been included, though studies of subjects with upper extremity motion problems are carried out in many motion laboratories including our own. A further disclaimer is that the flood of more recent publications does not receive equal coverage. History is being written daily as clinical gait analysis gains momentum. We have barely scratched the surface of the development and potential contributions of clinical gait analysis.

Entities:  

Mesh:

Year:  2001        PMID: 11378426     DOI: 10.1016/s0966-6362(01)00100-x

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


  31 in total

Review 1.  Surface electromyogram signal modelling.

Authors:  K C McGill
Journal:  Med Biol Eng Comput       Date:  2004-07       Impact factor: 2.602

2.  BioKin: an ambulatory platform for gait kinematic and feature assessment.

Authors:  Samitha W Ekanayake; Andrew J Morris; Mike Forrester; Pubudu N Pathirana
Journal:  Healthc Technol Lett       Date:  2015-02-25

3.  [Clinical gait analysis].

Authors:  T Mittlmeier; D Rosenbaum
Journal:  Unfallchirurg       Date:  2005-08       Impact factor: 1.000

4.  Anatomical optimization of skin electrode placement to record electromyographic activity of erector spinae muscles.

Authors:  Mathieu Panchoa de Sèze; Jean-René Cazalets
Journal:  Surg Radiol Anat       Date:  2008-01-09       Impact factor: 1.246

Review 5.  A unified perspective on ankle push-off in human walking.

Authors:  Karl E Zelik; Peter G Adamczyk
Journal:  J Exp Biol       Date:  2016-12-01       Impact factor: 3.312

6.  Analysis of Vertical Ground Reaction Force Variables Using Foot Scans in Hemiplegic Patients.

Authors:  Hyun Dong Kim; Jong-Gil Kim; Dong-Min Jeon; Min-Ha Shin; Nami Han; Mi-Ja Eom; Geun-Yeol Jo
Journal:  Ann Rehabil Med       Date:  2015-06-30

Review 7.  Current applications of gait analysis after total knee arthroplasty: A scoping review.

Authors:  Neeraj Vij; Christian Leber; Kenneth Schmidt
Journal:  J Clin Orthop Trauma       Date:  2022-09-05

8.  Forward propulsion asymmetry is indicative of changes in plantarflexor coordination during walking in individuals with post-stroke hemiparesis.

Authors:  Jessica L Allen; Steven A Kautz; Richard R Neptune
Journal:  Clin Biomech (Bristol, Avon)       Date:  2014-06-08       Impact factor: 2.063

9.  Healthy humans use sex-specific co-ordination patterns of trunk muscles during gait.

Authors:  C Anders; H Wagner; C Puta; R Grassme; H C Scholle
Journal:  Eur J Appl Physiol       Date:  2008-11-21       Impact factor: 3.078

10.  Examination and treatment of cuboid syndrome: a literature review.

Authors:  Chris J Durall
Journal:  Sports Health       Date:  2011-11       Impact factor: 3.843

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