• PNF and Movement
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• v.21 no.1
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• pp.1-10
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• 2023

Purpose: This systematic review aims to determine whether robot-assisted training is more effective in gait training for persons with subacute hemiparetic stroke. Methods: This study adopted a systematic review study design focused on subacute hemiparetic stroke, and four core academic databases were searched until June 11, 2021, for relevant studies, including PubMed, Embase, the Cochrane Library, and ProQuest Central. The review included randomized controlled trials (RCTs) evaluating the effects of robotic-assisted training on gait performance in persons with a diagnosis of subacute hemiparetic stroke. The selected RCT studies were qualitatively synthesized based on the population, intervention, comparison, outcome, settings, and study design (PICOS-SD). Results: The study selected five RCTs involving 253 subacute hemiparetic stroke patients and performing robotic-assisted gait training using the following devices: the Lokomat, Morning Walk, Walkbot, ProStep Plus, or Gait Trainer II. Five RCTs were eligible for the meta-analysis after quantitative synthesis, and the results showed that the robot-assisted gait training group had a greater gait performance than the control group based on the 10-meter walk test, Berg balance scale, Rivermed mobility index, functional ambulation category, and modified Barthel index. Conclusion: The results of this study showed that the gait performance of subacute hemiparetic stroke patients changes throughout robot-assisted gait training, but there were no indications that any of the clinically relevant effects of robot-assisted training are greater than those of conventional gait training. Further, the small sample size and different therapeutic intensities indicate that definitive conclusions could not be made.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2010.05a
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• pp.997-998
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• 2010

• Journal of Biomedical Engineering Research
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• v.44 no.3
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• pp.190-203
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• 2023

The purpose of this study is to provide basic data to ensure the safety and essential performance of a Lower Extremity robotic assisted gait training system and to provide advanced technology and technical basis to the industry handling the system. Based on IEC 60601-1:2012/AMD2:2020 (Medical Electrical Equipment - General requirements for basic safety and essential performance of medical electrical equipment), IEC 62366-1:2015/AMD1:2020 (Medical devices - Part 1: Application of usability engineering to medical devices) and EN ISO 14971:2019 (Medical devices - Application of risk management to medical devices), the requirements for ensuring the safety and essential performance of the Lower Extremity robotic assisted gait training system were derived. Through the Delphi survey method and scenario analysis, which reflects the opinions and knowledge of experts in the fields of development, testing and review of technical documents, and quality assurance of medical devices, validity and reliability were conducted and obtained results with adequate content validity ratio (CVR; 0.7≤) and excellent reliability (Cronbach's α; 0.9≤). As a result, it was confirmed that the reliability and validity of the risk management process to ensure the safety and essential performance of the Lower Extremity robotic assisted gait training system are required a model can be established to provide measures to reduce risks according to the level of risk exposure caused by usage.

• Physical Therapy Rehabilitation Science
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• v.6 no.3
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• pp.106-112
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• 2017

Objective: Robot assisted gait training is implemented as part of therapy for the recovery of gait patterns in recent clinical fields, and the scope of implications are continuously increasing. However clear therapy protocols of robot assisted gait training are insufficent. The purpose of this study was to investigate the effects of robot-assisted gait training applied with guidance force on balance and gait performance in persons with hemiparetic stroke. Design: Two group pre-test post-test design. Methods: Nineteen persons were diagnosed with hemiparesis following stroke participated in this study. The participants were randomly assigned to the unilateral guidance group or bilateral guidance group to conduct robot-assisted gait training. All participants underwent robot-assisted gait training for twelve sessions (30 min/d, 3 d/wk for 4 weeks). They were assessed with gait parameters (gait velocity, cadence, step length, stance phase, and swing phase) using Optogait. This study also measured the dynamic gait index (DGI), the Berg balance scale (BBS) score, and timed up and go (TUG). Results: After training, BBS scores were was significantly increased in the bilateral training group than in the unilateral guidance group (p<0.05). Spatiotemporal parameters were significantly changed in the bilateral training group (gait speed, swing phase ratio, and stance phase ratio) compared to the unilateral training group (p<0.05). Conclusions: The results of this study suggest that robot-assisted gait training show feasibility in facilitating improvements in balance and gait performance for subacute hemiparetic stroke patients.

• Physical Therapy Rehabilitation Science
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• v.11 no.4
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• pp.471-477
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• 2022

Objective: The greatest motor impairment after stroke is a decreased ability to walk. Most stroke patients achieve independent gait, but approximately 70% do not reach normal speed, making it difficult to reach a standard of daily living. Therefore, a wearable exoskeleton is recommended for optimal independent gait because different residual disorders hinder motor function after stroke. This review synthesized the effect on gait speed in randomized controlled trials (RCTs) in which gait training using a wearable exoskeleton was performed on post-stroke patients for qualitative and quantitative analysis. Design: A systematic review and meta-analysis of a randomized controlled trials Methods: RCTs using wearable exoskeletons in robotic rehabilitation of post-stroke patients were extracted from an international electronic database. For quality assessment and quantitative analysis, RevMan 5.4 was used. Quantitative analysis was calculated as the standardized mean difference (SMD) and presented as a random effect model. Results: Five studies involving 197 post-stroke patients were included in this review. As a result of the analysis using a random effect model, gait training using a wearable exoskeleton in post-stroke patients showed a significant improvement in gait speed compared to the non-wearing exoskeleton (SMD=1.15, 95% confidence interval: 0.52 to 1.78). Conclusions: This study concluded that a wearable exoskeleton was more effective than conventional gait training in improving the gait speed in post-stroke patients.

• Journal of the Korean Society of Physical Medicine
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• v.17 no.4
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• pp.65-73
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• 2022

PURPOSE: The present research examined the effects of progressive robot-assisted step training on the strength of the lower extremity and gait speed of an individual with stroke through changes between the baseline and the intervention stage (1, 3, 6, 9, and 12 months). METHODS: A single-subject (A-B) design was performed for a chronic stroke patient aged 70 years old. The robot-assisted step training was conducted three times a week during 12 months (40 minutes/session), and the assessment was conducted a total of seven times between the baseline and the intervention (No. 1, 3, 6, 9, and 12 months) to determine the effect of the intervention. RESULTS: As a result of the intervention, the muscle strength at the lower extremity of the paralysis side increased by the greatest extent 12 months after the intervention compared to the baseline, and the gait speed via the 10-meter walk test was increased as well. CONCLUSION: Long-term robot-assisted step training might be an effective intervention for improving the strength of the paretic lower extremity muscles and gait speed in stroke patients with difficulty walking independently. Further studies with sufficient sample sizes and a randomized control group will be needed to evaluate the long-term effects of robotic stepping rehabilitation.

• Journal of the Korean Burn Society
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• v.23 no.2
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• pp.31-36
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• 2020

Purpose: Scar contracture influence the outcome of burn patients significantly. This study aims to investigate the feasibility of robot-assisted training for the lower extremity rehabilitation of burn patients. Methods: This pilot study was conducted on 7 burn patients for 8 weeks between January 2019 and November 2019. Two of 7 patients withdrew from this study because one had skin abrasion on the legs which thigh fastening devices were applied on and the other was not participate in the assessment at 4 weeks after training. Final 5 patients received gait training with SUBAR^® and numeric rating scale (NRS), 6-minutes walking test, and range of motion in flexion and extension of knee and ankle joint were evaluated before training, 4 weeks and 12 weeks after training. Results: The subjects had a mean age of 51.8±98 years, mean total burn surface area of 30.8±13.7%, mean duration from injury to 1^st assessment of 102.8±39.3 days. Anyone of 5 patients did not have musculoskeletal or cardiovascular side effects such as increased or decreased blood pressure or dizziness. The significant improvement in NRS, gait speed, and range of motion in knee extension and ankle plantarflexion after robotic training (all P<0.05). Conclusion: Robot-assisted training could be feasible for the rehabilitation of burn patients and it could improve muscle strength and range of motion in lower extremities, and gait function.

• The Journal of Korean Physical Therapy
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• v.33 no.5
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• pp.231-237
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• 2021

Purpose: This study sought to investigate the effects of robot-assisted gait training on balance in total hip arthroplasty (THA) patients after bilateral avascular necrosis (AVN). Methods: This case study in two patients utilized an 'A-B-A' single-subject experimental design that included five days of pre-intervention, followed by five days of intervention, and five days of post-intervention. The intervention involved the use of a standing inclined robot (R-bot) for 15 minutes. The outcome measures were evaluated using the Functional Reaching Test (FRT), Time Up to Go (TUG), and the Modified One Leg Standing Test (OLST). Results: Patient 1 showed improvement based on data gathered from baseline A to intervention period B, with results as follows: FRT improved from 27.7 cm to 41.28 cm, OLST LT from 14.03 seconds to 67.37 seconds, OLST RT from 2.94 seconds to 35.97 seconds, and TUG from 12.96 seconds to 7.82 seconds. Patient 2 also showed improvement from baseline A to intervention period B, with results as follows: FRT improved from 17.18 cm to 24.3 cm, OLST LT from 11.53 seconds to 52.01 seconds, OLST RT from 12.99 seconds to 62.19 seconds, and TUG from 27.31 seconds to 12.99 seconds. Conclusion: Based on the results of this study, robotic rehabilitation during the early stages after surgery is effective for promoting balance in patients who have undergone THA due to bilateral AVN.