Literature DB >> 22378603

Electromechanical-assisted gait training after stroke: a systematic review comparing end-effector and exoskeleton devices.

Jan Mehrholz1, Marcus Pohl.   

Abstract

OBJECTIVES: Although electromechanical-assisted gait training after stroke seems to be effective, in the absence of a direct comparison between electromechanical devices it is not clear which device may be the most effective for recovery of walking. The aim of this study was therefore to compare the effects of different devices used in gait training after stroke. DATA SOURCES: We searched the Cochrane Stroke Group Trials Register, CENTRAL, MEDLINE, EMBASE, CINAHL, AMED, SPORTDiscus, PEDro, COMPENDEX and INSPEC. In addition, we hand-searched relevant conference proceedings, trials and research registers, checked reference lists and contacted authors to identify further trials. STUDY SELECTION: Randomized studies were included. Authors independently selected trials for inclusion, assessed trial quality and extracted the data. DATA EXTRACTION: Data were extracted with the help of a standardized data extraction form. DATA SYNTHESIS: Data were pooled for meta-analysis. The primary outcome was the proportion of patients walking independently.
RESULTS: We included 18 trials involving 885 patients. We found significantly higher rates of independent walking in end-effector compared with exoskeleton-based training (p = 0.03). Complication rates in both groups were comparable.
CONCLUSION: The results suggest that the type of electromechanical-assisted device might influence the outcome of gait rehabilitation after stroke.

Entities:  

Mesh:

Year:  2012        PMID: 22378603     DOI: 10.2340/16501977-0943

Source DB:  PubMed          Journal:  J Rehabil Med        ISSN: 1650-1977            Impact factor:   2.912


  39 in total

Review 1.  Robotic gait rehabilitation and substitution devices in neurological disorders: where are we now?

Authors:  Rocco Salvatore Calabrò; Alberto Cacciola; Francesco Bertè; Alfredo Manuli; Antonino Leo; Alessia Bramanti; Antonino Naro; Demetrio Milardi; Placido Bramanti
Journal:  Neurol Sci       Date:  2016-01-18       Impact factor: 3.307

Review 2.  [Evidence-based rehabilitation of mobility after stroke].

Authors:  C Dohle; R Tholen; H Wittenberg; J Quintern; S Saal; K M Stephan
Journal:  Nervenarzt       Date:  2016-10       Impact factor: 1.214

Review 3.  Influence of skill and exercise training parameters on locomotor recovery during stroke rehabilitation.

Authors:  T George Hornby; Jennifer L Moore; Linda Lovell; Elliot J Roth
Journal:  Curr Opin Neurol       Date:  2016-12       Impact factor: 5.710

Review 4.  [New aspects of neurorehabilitation: motor and language].

Authors:  J Liepert; C Breitenstein
Journal:  Nervenarzt       Date:  2016-12       Impact factor: 1.214

5.  Toward goal-oriented robotic gait training: The effect of gait speed and stride length on lower extremity joint torques.

Authors:  Robert L McGrath; Margaret Pires-Fernandes; Brian Knarr; Jill S Higginson; Fabrizio Sergi
Journal:  IEEE Int Conf Rehabil Robot       Date:  2017-07

Review 6.  Robot-assisted Therapy in Stroke Rehabilitation.

Authors:  Won Hyuk Chang; Yun-Hee Kim
Journal:  J Stroke       Date:  2013-09-27       Impact factor: 6.967

Review 7.  Electromechanical-assisted training for walking after stroke.

Authors:  Jan Mehrholz; Bernhard Elsner; Cordula Werner; Joachim Kugler; Marcus Pohl
Journal:  Cochrane Database Syst Rev       Date:  2013-07-25

8.  The Present and Future of Robotic Technology in Rehabilitation.

Authors:  Jeffrey Laut; Maurizio Porfiri; Preeti Raghavan
Journal:  Curr Phys Med Rehabil Rep       Date:  2016-11-19

Review 9.  New evidence for therapies in stroke rehabilitation.

Authors:  Bruce H Dobkin; Andrew Dorsch
Journal:  Curr Atheroscler Rep       Date:  2013-06       Impact factor: 5.113

10.  Robot-assisted gait training versus treadmill training in patients with Parkinson's disease: a kinematic evaluation with gait profile score.

Authors:  M Galli; V Cimolin; M F De Pandis; D Le Pera; I Sova; G Albertini; F Stocchi; M Franceschini
Journal:  Funct Neurol       Date:  2016 Jul-Sep
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.