| 张海泉,胡 川,王 欣.智能机器人步态模拟训练结合悬吊运动对脑卒中早期下肢运动功能的影响[J].中国康复医学杂志,2024,(6):798~803 |
| 智能机器人步态模拟训练结合悬吊运动对脑卒中早期下肢运动功能的影响 点此下载全文 |
| 张海泉 胡 川 王 欣 |
| 山东省立第三医院康复医学部，山东省济南市，250031 |
| 基金项目：山东省中医药科技项目（2020M047）；山东省中医药高层次人才培育项目专项经费资助（2022-148）；山东省医药卫生科技发展计划项目（202020011003） |
| DOI：10.3969/j.issn.1001-1242.2024.06.006 |
| 摘要点击次数: 430 |
| 全文下载次数: 280 |
| 摘要： |
| 摘要
目的：探讨智能机器人步态模拟训练结合悬吊运动对脑卒中早期下肢功能恢复的疗效，为脑卒中后患者康复提供更有效的方案。
方法：选取山东省立第三医院康复医学部符合纳入标准的脑卒中患者90例，采取随机数字表法分为对照组（A组）、减重跑台组（B组）和智能机器人组（C组），每组各30例。三组患者均接受常规康复治疗，对照组进行悬吊运动训练，减重跑台组在对照组的基础上接受减重跑台训练，智能机器人组在对照组的基础上接受智能机器人步态模拟训练。分别于治疗前、治疗4周后采用躯干控制测试（TCT）、Fugl-Meyer下肢运动功能量表（FMA-LE）、Berg平衡量表（BBS）、Holden步行功能分级（FAC）及视频步态分析仪分别评定患者的躯干控制能力、下肢体运动功能、平衡功能、步行能力及步态时空参数（步频、步速、步长和步行周期）。
结果：治疗前三组患者的各项指标比较，差异均无显著性意义（P>0.05）。治疗4周后，三组各项指标均优于治疗前，具有显著性意义（P<0.05）；智能机器人组在TCT、FMA-LE、BBS、FAC及步态时空参数（步频、步速、步长和步行周期）方面显著优于对照组（P<0.05）；除步行周期外，智能机器人组其余指标均显著优于减重跑台组（P<0.05）；减重跑台组在TCT、FMA-LE、BBS、FAC及步态时空参数（步频、步速、步长和步行周期）方面优于对照组（P<0.05）。
结论：智能机器人步态模拟训练结合悬吊运动更能增强脑卒中早期患者的躯干核心的稳定性，纠正异常步态，优化平衡功能，达到改善运动功能和步行能力目的。 |
| 关键词：脑卒中 智能机器人步态模拟训练 悬吊运动 下肢运动功能 |
| The effect of suspension exercise combined with intelligent robot gait simulation training on lower limb motor function in early stroke patients Download Fulltext |
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| Shandong Provincial Third Hospital Rehabilitation Medicine， Jinan， 250031 |
| Fund Project: |
| Abstract: |
| Abstract
Objective： To investigate the efficacy of intelligent robotic gait simulation training combined with suspension exercise training for lower limb movement function recovery in the early stage after stroke， and to provide a more effective program for post-stroke patient rehabilitation.
Method： Ninety stroke patients who met the inclusion criteria in Shandong provincial third hospital rehabilitation medicine services were selected and randomly divided into three groups： the control group （Group A）， the weight reduction running table group （Group B）， and the intelligent robot group （Group C）， with 30 cases in each group. Patients in all three groups received conventional rehabilitation treatment. The control group received the suspension exercise training. On the basis the same treatment in the control group, the weight reduction running table group received weight loss running table training， and the intelligent robot group received intelligent rehabilitation robot gait simulation training. The trunk control test （TCT）， Fugl-Meyer assessment lower extremity（FMA-LE）， Berg balance scale（BBS）， Holden's functional ambulation category （FAC）， and video gait analyzer were used to assess trunk control， lower limb motor function， balance， walking ability and gait temporal parameters （stride frequency， walking speed， step length， and walking cycle） before treatment and after 4 weeks of treatment， respectively.
Result： The differences were not statistically significant when comparing the indices of the three groups of patients before treatment （P>0.05）. After 4 weeks of treatment， all indicators were significantly better in all three groups than before treatment（P<0.05）. The intelligent robot group and the weight reduction running table group were significantly better than the control group in terms of TCT， FMA-LE， BBS， FAC， and gait temporal parameters （stride frequency， walking speed， step length， and walking cycle） （P<0.05）. Except for the walking cycle， all the other indexes in the intelligent robot group were significantly better than in the weight reduction running table group （P<0.05）.
Conclusion： Intelligent rehabilitation robot gait simulation training combined with suspension exercise training can strongly enhance the stability of the trunk core， correct abnormal gait， optimize balance function， and improve motor function and walking ability in early stroke patients. |
| Keywords:stroke intelligent robot gait simulation training suspension exercise lower limb motor function |
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