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智能机器人步态模拟训练对脑卒中下肢运动功能的影响 被引量:4

The effect of intelligent robot gait simulation training on lower limb motor function of early stroke patients
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摘要 目的探讨智能机器人步态模拟训练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60例,采取随机数字表分为对照组和观察组,每组各30例。两组患者均接受下肢关节活动度训练、肌力训练、坐立位平衡训练、转移训练、芒针透刺及悬吊运动核心肌群训练等,对照组给予传统步态训练,观察组给予智能机器人步态模拟训练,所有治疗1次/d,25 min/次,5 d/周,治疗4周后统计疗效。分别于治疗前后采用Fugl-Meyer运动功能量表、Berg平衡量表、Holden步行功能分级及视频步态分析仪评定患者的下肢体运动功能、平衡功能、步行能力及步态时空参数。结果治疗前两组患者的下肢体运动功能、平衡功能、步行能力及步态时空参数比较,差异均无统计学意义(P>0.05)。治疗4周后,两组患者的上述指标均优于治疗前,其中治疗组下肢运动功能和平衡功能评分分别是(21.37±2.17)分和(32.97±5.18)分,观察组下肢运动功能和平衡功能评分分别是(26.27±2.22)分和(43.20±5.73)分,差异具有统计学意义(P<0.05),且观察组显著优于对照组(P<0.05)。结论智能机器人步态模拟训练较传统步态训练更能增强脑卒中患者的下肢运动功能,纠正异常步态,优化平衡功能,达到改善步行能力的目的。 Objective To explore the effect of gait simulation training of intelligent robot on the early recovery of lower limb function after stroke,and to provide a more effective program for the rehabilitation of patients after stroke.Methods 60 stroke patients who met the inclusion criteria from the Rehabilitation Department of Shandong Provincial Third Hospital were selected and randomly divided into control group and observation group with 30patients in each group.Both groups of patients received lower limb joint range of motion training,muscle strength training,sitting and standing balance training,transfer training,needle penetration and suspension core muscle group training,etc.The control group was given traditional gait training,and the observation group was given intelligent robot gait simulation training.All patients were treated once a day,25 minutes a time,5 days a week,and the effect was collected after 4 weeks of treatment.Fugl-Meyer Motor Function Scale,Berg Balance Scale,Holden Walking Function Classification and Video Gait Analyzer were used to assess the lower limb motor function,balance function,walking ability and gait spatiotemporal parameters of patients before and after treatment.Results There were no significant differences in the temporal and spatial parameters of lower limb motor function,balance function,walking ability and gait between the two groups before treatment(P>0.05).After 4 weeks of treatment,the above indexes of the 2 groups were better than before treatment,among which the lower limb motor function and balance function scores of the treatment group were(21.37±2.17)and(32.97±5.18),respectively,and the lower limb motor function and balance function scores of the observation group were(26.27±2.22)and(43.20±5.73),respectively.The difference was statistically significant(P<0.05),and the observation group was significantly better than the control group(P<0.05).Conclusion Compared with traditional gait training,gait simulation training of intelligent robot can improve the lower limb mo
作者 张海泉 王子豪 王欣 ZHANG Hai-quan;WANG Zi-hao;WANG Xin
出处 《中国疗养医学》 2023年第2期161-164,共4页 Chinese Journal of Convalescent Medicine
基金 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)。
关键词 脑卒中 智能机器人步态模拟训练 下肢运动功能 步行能力 Stroke Gait simulation training of intelligent robot Lower limb motor function Walking ability
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