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下肢康复机器人结合不同训练模式对脑卒中患者的影响:一项随机对照试验。

Effects of a lower limb rehabilitation robot with various training modes in patients with stroke: A randomized controlled trial.

机构信息

Department of Rehabilitation Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.

The Center for Bionics, Korea Institute of Science and Technology, Seoul, Republic of Korea.

出版信息

Medicine (Baltimore). 2022 Nov 4;101(44):e31590. doi: 10.1097/MD.0000000000031590.

Abstract

BACKGROUND

The effect of robot-assisted gait training has been demonstrated to improve gait recovery in patients with stroke. The aim of this study was to determine effects of robot-assisted gait training with various training modes in patients post stroke.

METHODS

Forty-seven patients post stroke were randomly assigned to one of 4 groups: Healbot T with pelvic off mode (pelvic off group; n = 11); Healbot T with pelvic control mode (pelvic on group; n = 12); Healbot T with constraint-induced movement therapy (CIMT) mode (CIMT group; n = 10); and conventional physiotherapy (control group; n = 10). All patients received a 30-minute session 10 times for 4 weeks. The primary outcomes were the 10-meter walk test (10MWT) and Berg Balance Scale (BBS). The secondary outcomes were functional ambulation category, timed up and go (TUG), and motricity index of the lower extremities (MI-Lower).

RESULTS

The pelvic off group showed significant improvements in BBS, TUG, and MI-Lower (P < .05). The pelvic on and CIMT groups showed significant improvement in 10MWT, BBS, TUG, and MI-Lower (P < .05). Compared with control group, the pelvic on group showed greater improvement in the TUG and BBS scores; the CIMT group showed greater improvement in 10MWT and MI-Lower (P < .05).

CONCLUSION

This study suggested that Healbot T-assisted gait training benefited patients with stroke. The Healbot T with pelvic motion and CIMT modes were more helpful in improving balance and walking ability and lower limb strength, respectively, compared with conventional physiotherapy.

摘要

背景

机器人辅助步态训练已被证明可改善脑卒中患者的步态恢复。本研究旨在确定机器人辅助步态训练的各种训练模式对脑卒中后患者的影响。

方法

47 例脑卒中后患者随机分为 4 组:Healbot T 骨盆脱模式组(骨盆脱组,n=11);Healbot T 骨盆控制模式组(骨盆控制组,n=12);Healbot T 强制性运动疗法模式组(CIMT 组,n=10);常规物理治疗组(对照组,n=10)。所有患者均接受了 4 周内 10 次每次 30 分钟的治疗。主要结局指标为 10 米步行测试(10MWT)和 Berg 平衡量表(BBS)。次要结局指标为功能性步行分类、计时起立行走测试(TUG)和下肢运动指数(MI-Lower)。

结果

骨盆脱组 BBS、TUG 和 MI-Lower 显著改善(P<0.05)。骨盆控制组和 CIMT 组 10MWT、BBS、TUG 和 MI-Lower 均显著改善(P<0.05)。与对照组相比,骨盆控制组 TUG 和 BBS 评分改善更显著;CIMT 组 10MWT 和 MI-Lower 改善更显著(P<0.05)。

结论

本研究表明 Healbot T 辅助步态训练对脑卒中患者有益。与常规物理治疗相比,Healbot T 辅助骨盆运动和 CIMT 模式分别更有助于改善平衡和步行能力以及下肢力量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2920/9646640/b19b794ec5e3/medi-101-e31590-g001.jpg

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