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KMID : 1003120230150020057
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Journal of Korean Society of Neurocognitive Rehabilitation
2023 Volume.15 No. 2 p.57 ~ p.63
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Effects of Rehabilitation Robot Therapy on Functional Improvement of Stroke Patients
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Oh Seung-Jun
Kim Hyun-Sung
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Abstract
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This investigation determined that robot-assisted gait training (RAGT) using a Walkbot (P&S Mechanics, Seoul, Korea) after stroke required evaluation of optimal effectiveness, timing, intensity, and period characteristics of the rehabilitation interventions. As such, this investigation evaluated gait ability using functional ambulation category (FAC) for effective gait training in stroke patients divided into 2 groups: low initial FAC (LFAC [FAC<2]); and high initial FAC (HFAC [FAC≥2]). Accordingly, Walkbot RAGT sought to demonstrate to both groups the sensory-motor recovery function according to the Fugl-Meyer Assessment (FMA), coordination power according to the trunk impairment scale (TIS), and balance function according to the Berg Balance Scale (BBS).
Subjects included 56 stroke patients who walked using the Walkbot. Walking speed was initially set to 0.5 km/h, then gradually increased according to patient ability. Both intervention dosages were standardized and provided 3 times every other day for 6 weeks, with 30 min per set. During the exercise, the patient's pelvis, knee, and other joints and their expressions were monitored, and body weight support was controlled throughout the set.
Clinical outcomes included FMA, TIS, and BBS scores. An independent samples t-test was performed with a threshold of p<.05. Significant changes were observed in FMA, BBS, and TIS scores in both the HFAC and LFAC groups, demonstrating significant main effects in the FMA and BBS (p<.05).
Results of this investigation provide clinical evidence supporting the use of RAGT in patients with varying early FAC, maximizing score improvement in balance function and sensorimotor and trunk stability in the neurorehabilitation of stroke patients. Therefore, Walkbot RAGT can maximize the improvement in FMA, BBS, and TIS function scores during neurorehabilitation, regardless of the FAC score of stroke patients, thus providing a rationale for expanding the applicability of Walkbot RAGT.
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KEYWORD
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FAC, Robotic-assissted gait training, Stroke, Walkbot
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