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

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Ji-Eun Cho ◽  
Jun Sang Yoo ◽  
Kyoung Eun Kim ◽  
Sung Tae Cho ◽  
Woo Seok Jang ◽  
...  
Keyword(s):  
Systematic Review ◽  
Early Stage ◽  
Onset Time ◽  
Gait Training ◽  
Walking Ability ◽  
Stroke Patients ◽  
Related Function ◽  
Subacute Stroke ◽  
Weight Support ◽  
Gait Function

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(p<0.05). 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.

The Effectiveness of Locomotor Therapy Using Robotic-assisted Gait Training in Subacute Stroke Patients: A Randomized Controlled Trial

PM&R ◽  
2009 ◽  
Vol 1 ◽  
pp. S99-S99 ◽  
Author(s):  
Zeev Meiner ◽  
Iris Fisher ◽  
Michal Katz-Leurer ◽  
Martin Neeb ◽  
Anna Sajin ◽  
...  
Keyword(s):  
Randomized Controlled Trial ◽  
Controlled Trial ◽  
Gait Training ◽  
Stroke Patients ◽  
Robotic Assisted ◽  
Randomized Controlled ◽  
Subacute Stroke

scholarly journals Concurrent Validity of Physiological Cost Index in Walking over Ground and during Robotic Training in Subacute Stroke Patients

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Anna Sofia Delussu ◽  
Giovanni Morone ◽  
Marco Iosa ◽  
Maura Bragoni ◽  
Stefano Paolucci ◽  
...  
Keyword(s):  
Random Sequence ◽  
Pearson Correlation ◽  
Control Group ◽  
Stroke Patients ◽  
Robotic Training ◽  
Cost Index ◽  
Physiological Cost ◽  
Subacute Stroke ◽  
Weight Support ◽  
Walking Tests

Physiological Cost Index (PCI) has been proposed to assess gait demand. The purpose of the study was to establish whether PCI is a valid indicator in subacute stroke patients of energy cost of walking in different walking conditions, that is, over ground and on the Gait Trainer (GT) with body weight support (BWS). The study tested if correlations exist between PCI and ECW, indicating validity of the measure and, by implication, validity of PCI. Six patients (patient group (PG)) with subacute stroke and 6 healthy age- and size-matched subjects as control group (CG) performed, in a random sequence in different days, walking tests overground and on the GT with 0, 30, and 50% BWS. There was a good to excellent correlation between PCI and ECW in the observed walking conditions: in PG Pearson correlation was 0.919 (p<0.001); in CG Pearson correlation was 0.852 (p<0.001). In conclusion, the high significant correlations between PCI and ECW, in all the observed walking conditions, suggest that PCI is a valid outcome measure in subacute stroke patients.

THE DEVELOPMENT OF AN EMG CONTROLLER-BASED ROBOTIC GAIT TRAINING SYSTEM AND ITS CLINICAL FEASIBILITY FOR SUBACUTE STROKE PATIENTS IN IMPROVING LOCOMOTIVE FUNCTION

2019 ◽  
Vol 19 (02) ◽  
pp. 1940018
Author(s):  
ANDY CHIEN ◽  
FU-HAN HSIEH ◽  
CHING HUANG ◽  
FEI-CHUN CHANG ◽  
NAI-HSIN MENG ◽  
...  
Keyword(s):  
Muscle Activation ◽  
Gait Cycle ◽  
Gait Training ◽  
Gait Pattern ◽  
Rehabilitation Program ◽  
Training System ◽  
Stroke Patients ◽  
Robotic Training ◽  
Subacute Stroke ◽  
Robotic Gait

One-third of stroke survivors fail to regain independent ambulation and strokes have been identified as a significant source of long-term disability and a tremendous health burden. Robot-assisted gait rehabilitation is gaining traction and advocators for its inclusion as part of the routine post-stroke rehabilitation program are on the increase. However, despite the recent technological advances in the development and design of better robotics, the research evidence on the best model of robotic training remains sparse and unclear. It is therefore the aim of the current study to comparatively investigate the clinical feasibility and efficacy of a recently developed HIWIN Robotic Gait Training System (MRG-P100) combined with the use of a lab-developed MBS-E100 EMG system as a controller on facilitating the development of an appropriate gait pattern for motor impaired subacute stroke patients. The results indicated that due to the heterogeneity of stroke-induced changes in muscle characteristics, an “auto-fit” algorithm was required to allow constant monitoring and updating of the appropriate threshold based on EMG signals captured during previous gait cycle in order to determine the desired muscle activation threshold for the current gait cycle. Eighteen participants were tested using the new auto-fit algorithm and results demonstrated a significantly more fluent and physiologically appropriate gait pattern.

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