학술논문
The Effects of Robot-Assisted Gait Training on the Gait Pattern and Balance Ability of Patients with Chronic Stroke
이용수 30
- 영문명
- 발행기관
- 물리치료재활과학회
- 저자명
- Young-Gwi Kim Sam-Ho Park Myung-Mo Lee
- 간행물 정보
- 『Physical Therapy Rehabilitation Science』제12권 제4호, 372~381쪽, 전체 10쪽
- 주제분류
- 의약학 > 재활의학
- 파일형태
- 발행일자
- 2023.12.30
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국문 초록
Objective: The purpose of this study was conducted to compare the effects of progressively increasing patient engagement between robot-assisted gait training and active weight-supported treadmill training on chronic stroke patients and to identify an effective clinical approach.
Design: A randomized controlled trial.
Methods: A total of 34 participants with chronic stroke participated in this study. Random program was conducted and assigned to the experimental group (n=17) and the control group (n=17). Robot-assisted gait training was performed in the experimental group, and weight-supported treadmill training was performed in the control group. Fugl-Meyer Assessment-Lower Extremity (FMA-LE), Berg Balance Scale (BBS), Timed Up and Go (TUG), G-walk system, Falls Efficacy Scale (FES) were measured before and after the intervention to compare their effectiveness.
Results: Both groups showed significant differences in FMA-LE, BBS, TUG, G-walk, FES before and after intervention (p＜0.05). In addition, the experimental group showed significant differences in FMA-LE, BBS, TUG, G-walk, FES compared to the control group (p＜0.05).
Conclusions: Robot-assisted gait training is an effective intervention method that is clinically significant for improving lower limb function, balance ability, gait ability, and fall efficacy in chronic stroke patients.
영문 초록
목차
서론
연구방법
연구결과
결론
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