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BioMed Research International
Volume 2018, Article ID 4085298, 11 pages
Review Article

Systematic Review of Appropriate Robotic Intervention for Gait Function in Subacute Stroke Patients

1Department of Physical Therapy, Graduate School, Sahmyook University, Seoul, Republic of Korea
2Department of Physical Therapy, Korea National University of Transportation, Chungcheongbuk-do, Republic of Korea
3Department of Physical Therapy, Sahmyook University College of Health Science, Seoul, Republic of Korea

Correspondence should be addressed to Wan-Hee Lee;

Received 29 August 2017; Revised 12 December 2017; Accepted 25 December 2017; Published 6 February 2018

Academic Editor: Laura Guidetti

Copyright © 2018 Ji-Eun Cho et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The purpose of this study was to critically evaluate the effects of robot-assisted gait training (RAGT) on gait-related function in patients with acute/subacute stroke. We conducted a systematic review of randomized controlled trials published between May 2012 and April 2016. This search included 334 articles (Cochrane, 51 articles; Embase, 175 articles; PubMed, 108 articles). Based on the inclusion and exclusion criteria, 7 studies were selected for this review. We performed a quality evaluation using the PEDro scale. In this review, 3 studies used an exoskeletal robot, and 4 studies used an end-effector robot as interventions. As a result, RAGT was found to be effective in improving walking ability in subacute stroke patients. Significant improvements in gait speed, functional ambulatory category, and Rivermead mobility index were found with RAGT compared with conventional physical therapy . Therefore, aggressive weight support and gait training at an early stage using a robotic device are helpful, and robotic intervention should be applied according to the patient’s functional level and onset time of stroke.