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Lokomat机器人对缺血性脑卒中患者下肢功能的影响

发布时间:2018-06-06 09:17

  本文选题:机器人 + 缺血性脑卒中 ; 参考:《河北联合大学》2014年硕士论文


【摘要】:目的探讨Lokomat全自动机器人步态训练与评定系统(以下简称Lokomat机器人)改善缺血性脑卒中偏瘫患者下肢功能的影响,,为缺血性脑卒中后偏瘫患者提供一种安全有效的康复训练方法。 方法1收集符合纳入标准的2012年3月至2013年5月河北联合大学附属医院神经内科及康复科住院病人,共计40例。2依据年龄、既往病史、病情作为配对因素,进行两两配对,将对子内个体分为干预组和对照组,每组20例。干预组:进行Lokomat机器人康复训练,对照组:进行传统康复训练。3分别对干预组及对照组患者于训练前、训练后6w、12w进行神经功能缺损评分(下肢)(NIHSS)、髋膝关节活动度评定、Fugl-Meyer运动功能量表(FMA)评分、功能性步行量表(FAC)评分、Berg平衡量表评分、Barthel指数评分及步态参数评定,并将上述评定结果进行统计学分析。 结果1训练前两组患者神经功能缺损评分(下肢)(NIHSS)、髋膝关节活动度、Fugl-Meyer运动功能量表(FMA)评分、功能性步行量表(FAC)评分、Berg平衡量表评分、 Barthel指数评分及步态参数比较均无统计学差异(P0.05)。2训练后组内比较:上述评定结果在训练6w、训练12w均较训练前明显改善,差异有统计学意义(P0.05),且训练12w较训练6w明显改善,差异有统计学意义(P0.05)。3两组患者训练前后比较:组间比较:两组患者上述评定结果干预组优于对照组,组间比较有显著统计学意义(P0.001);训练时间水平比较:两组患者上述评定结果在训练时间水平上有统计学差异(P0.001);组间与训练时间的交互作用:髋膝关节活动度、Fugl-Meyer运动功能量表(FMA)评分、功能性步行量表(FAC)评分、Berg平衡量表评分、Barthel指数评分及步态参数在组间与训练时间存在交互作用(P0.001),神经功能缺损评分(下肢)(NIHSS)在组间与训练时间无交互作用(P=0.05)。 结论1传统康复训练及Lokomat机器人训练均能为缺血性脑卒中偏瘫患者提供安全有效的康复训练。2Lokomat机器人训练是本研究中最有效的训练方案。
[Abstract]:Objective to investigate the effect of Lokomat automatic robot gait training and evaluation system (Lokomat robot) on improving lower limb function of hemiplegic patients with ischemic stroke. To provide a safe and effective rehabilitation training method for patients with hemiplegia after ischemic stroke. Methods from March 2012 to May 2013, 40 inpatients from Department of Neurology and Rehabilitation, affiliated Hospital of Hebei Union University, were collected and matched according to their age, history and condition. The two groups were divided into intervention group and control group with 20 cases in each group. The intervention group received Lokomat robot rehabilitation training, while the control group received traditional rehabilitation training. 3. The intervention group and the control group were treated before training. After 6 weeks and 12 weeks of training, the neurological impairment score (lower extremities) (NIHSS), hip and knee motion assessment and Fugl-Meyer motor function scale (FMAA), functional walking scale (FAC), Berg balance scale, Barthel index and gait parameters were evaluated. The above evaluation results were statistically analyzed. Results 1 before training, the neurological impairment score (NIHSS of lower extremity, Fugl-Meyer motor function scale and FMAscore of hip and knee joint) were evaluated in the two groups. There was no significant difference in the scores of Berg balance scale, Barthel index and gait parameters between the two groups after training (P 0.05). The above evaluation results were significantly improved after training for 6 weeks and 12 weeks compared with those before training. The difference was statistically significant (P 0.05), and the 12 week training was significantly better than that of the 6 w training. The difference was statistically significant before and after training. 3 comparison between the two groups: the above evaluation results of the two groups were better than those of the control group. There was significant difference in the training time level between the two groups. The interaction between the two groups and the training time: the hip and knee motion and the Fugl-Meyer exercise. Functional scale (FMA) score, Functional walking scale (FAC) score and Berg balance scale score Barthel Index and gait parameters had interaction between group and training time (P 0.001), and there was no interaction between group and training time by neurological deficit score (NIHSS). Conclusion (1) traditional rehabilitation training and Lokomat robot training can provide safe and effective rehabilitation training for ischemic stroke hemiplegic patients .2Lokomat robot training is the most effective training program in this study.
【学位授予单位】:河北联合大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:R743.3

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