Literature DB >> 21763525

Guiding task-oriented gait training after stroke or spinal cord injury by means of a biomechanical gait analysis.

Sylvie Nadeau1, Cyril Duclos, Laurent Bouyer, Carol L Richards.   

Abstract

To recover the ability to walk is one of the most important goals of persons recovering from a stroke or spinal cord injury (SCI). While a task-oriented approach to gait training is recommended, randomized controlled trials or meta-analyses comparing different methods of delivering training have failed in general to demonstrate the superiority of one approach over the other. The large variations in the mean outcome gait measures reported in these studies reflect, at least in part, the heterogeneity of the sensorimotor impairments underlying the gait disability as well as variations in the therapeutic response. The purpose of this chapter is to demonstrate that biomechanical gait analysis can reveal information pertinent to the selection of a task-oriented approach to enhance gait training as well as the therapeutic response that clinical evaluations alone cannot provide. We first briefly review locomotor impairments underlying the gait disability after stroke and SCI as well as the effects of selected technological task-oriented gait training interventions. We then give examples that demonstrate the use of gait analysis to pinpoint underlying impairments that can guide the choice of sensorimotor therapy and then immediately identify responders to the intervention. Such an individualized approach should promote therapeutic efficacy while leading over time to the identification of clinical indices to guide therapy when gait analysis is not feasible. Given the requirements of a gait analysis laboratory and the qualified personnel to capture and interpret the data, future studies will need to demonstrate the feasibility of the technological proposed approach and assess the costs and benefits for the health care system.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21763525     DOI: 10.1016/B978-0-444-53355-5.00011-7

Source DB:  PubMed          Journal:  Prog Brain Res        ISSN: 0079-6123            Impact factor:   2.453


  10 in total

1.  Combining Fast-Walking Training and a Step Activity Monitoring Program to Improve Daily Walking Activity After Stroke: A Preliminary Study.

Authors:  Kelly A Danks; Ryan Pohlig; Darcy S Reisman
Journal:  Arch Phys Med Rehabil       Date:  2016-05-27       Impact factor: 3.966

Review 2.  Assessing post-stroke behavior in mouse models of focal ischemia.

Authors:  Mustafa Balkaya; Jan M Kröber; Andre Rex; Matthias Endres
Journal:  J Cereb Blood Flow Metab       Date:  2012-12-12       Impact factor: 6.200

3.  Feasibility of a Simplified, Clinically Oriented, Three-dimensional Gait Analysis System for the Gait Evaluation of Stroke Patients.

Authors:  Masahiko Mukaino; Kei Ohtsuka; Kazuhiro Tsuchiyama; Fumihiro Matsuda; Keisuke Inagaki; Junya Yamada; Hiroki Tanikawa; Eiichi Saitoh
Journal:  Prog Rehabil Med       Date:  2016-07-15

Review 4.  Lower extremity outcome measures: considerations for clinical trials in spinal cord injury.

Authors:  Marc Bolliger; Andrew R Blight; Edelle C Field-Fote; Kristin Musselman; Serge Rossignol; Dorothy Barthélemy; Laurent Bouyer; Milos R Popovic; Jan M Schwab; Michael L Boninger; Keith E Tansey; Giorgio Scivoletto; Naomi Kleitman; Linda A T Jones; Dany H Gagnon; Sylvie Nadeau; Dirk Haupt; Lea Awai; Chris S Easthope; Björn Zörner; Ruediger Rupp; Dan Lammertse; Armin Curt; John Steeves
Journal:  Spinal Cord       Date:  2018-04-27       Impact factor: 2.772

5.  Effects of robotic guidance on the coordination of locomotion.

Authors:  Juan C Moreno; Filipe Barroso; Dario Farina; Leonardo Gizzi; Cristina Santos; Marco Molinari; José L Pons
Journal:  J Neuroeng Rehabil       Date:  2013-07-19       Impact factor: 4.262

6.  Muscle Synergies in Cycling after Incomplete Spinal Cord Injury: Correlation with Clinical Measures of Motor Function and Spasticity.

Authors:  Filipe O Barroso; Diego Torricelli; Elisabeth Bravo-Esteban; Julian Taylor; Julio Gómez-Soriano; Cristina Santos; Juan C Moreno; José L Pons
Journal:  Front Hum Neurosci       Date:  2016-01-11       Impact factor: 3.169

7.  Protocol for promoting recovery optimization of walking activity in stroke (PROWALKS): a randomized controlled trial.

Authors:  Henry Wright; Tamara Wright; Ryan T Pohlig; Scott E Kasner; Jonathan Raser-Schramm; Darcy Reisman
Journal:  BMC Neurol       Date:  2018-04-12       Impact factor: 2.474

8.  Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder.

Authors:  Masahiko Mukaino; Kei Ohtsuka; Hiroki Tanikawa; Fumihiro Matsuda; Junya Yamada; Norihide Itoh; Eiichi Saitoh
Journal:  J Vis Exp       Date:  2018-03-04       Impact factor: 1.355

9.  Interrater and intrarater reliability and minimal detectable change of the Wisconsin Gait Scale when used to examine videotaped gait in individuals post-stroke.

Authors:  Robert Wellmon; Amy Degano; Joseph A Rubertone; Sandra Campbell; Kelly A Russo
Journal:  Arch Physiother       Date:  2015-10-05

10.  The Actuation System of the Ankle Exoskeleton T-FLEX: First Use Experimental Validation in People with Stroke.

Authors:  Daniel Gomez-Vargas; Felipe Ballen-Moreno; Patricio Barria; Rolando Aguilar; José M Azorín; Marcela Munera; Carlos A Cifuentes
Journal:  Brain Sci       Date:  2021-03-24
  10 in total

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