Lower limb rehabilitation exoskeleton robots integrate sensing, control, and other technologies and exhibit the characteristics of bionics, robotics, information and control science, medicine, and other interdisciplin...Lower limb rehabilitation exoskeleton robots integrate sensing, control, and other technologies and exhibit the characteristics of bionics, robotics, information and control science, medicine, and other interdisciplinary areas. In this review, the typical products and prototypes of lower limb exoskeleton rehabilitation robots are introduced and stateof-the-art techniques are analyzed and summarized. Because the goal of rehabilitation training is to recover patients’ sporting ability to the normal level, studying the human gait is the foundation of lower limb exoskeleton rehabilitation robot research. Therefore, this review critically evaluates research progress in human gait analysis and systematically summarizes developments in the mechanical design and control of lower limb rehabilitation exoskeleton robots. From the performance of typical prototypes, it can be deduced that these robots can be connected to human limbs as wearable forms;further, it is possible to control robot movement at each joint to simulate normal gait and drive the patient’s limb to realize robot-assisted rehabilitation training. Therefore human–robot integration is one of the most important research directions, and in this context, rigid-flexible-soft hybrid structure design, customized personalized gait generation, and multimodal information fusion are three key technologies.展开更多
This paper focuses on the problem of the adaptive robust control of a lower limbs rehabilitation robot(LLRR) that is a nonlinear system running under passive training mode. In reality, uncertainties including modeling...This paper focuses on the problem of the adaptive robust control of a lower limbs rehabilitation robot(LLRR) that is a nonlinear system running under passive training mode. In reality, uncertainties including modeling error, initial condition deviation, friction force and other unknown external disturbances always exist in a LLRR system. So, it is necessary to consider the uncertainties in the unilateral man-machine dynamical model of the LLRR we described. In the dynamical model, uncertainties are(possibly fast) time-varying and bounded. However, the bounds are unknown. Based on the dynamical model, we design an adaptive robust control with an adaptive law that is leakagetype based and on the framework of Udwadia-Kalaba theory to compensate for the uncertainties and to realize tracking control of the LLRR. Furthermore, the effectiveness of designed control is shown with numerical simulations.展开更多
Background: Robot-assisted lower limb rehabilitation training in early stage could improve the limb function among hemiplegic patients caused by ischemic stroke. P300 potential changes have importantly clinical value ...Background: Robot-assisted lower limb rehabilitation training in early stage could improve the limb function among hemiplegic patients caused by ischemic stroke. P300 potential changes have importantly clinical value for evaluating the improvement in nerve function during the training as one of the objective targets. Methods: Sixty hemiplegic patients after stroke were randomly divided into a Lokomat group (30 cases) and a control group (30 cases). The Lokomat group received Lokomat rehabilitation while the control group only received traditional rehabilitation. The gait parameters and the balance ability were evaluated by the K421GAITRite analysis system and the Berg Balance Scale (BBS);ERP components including N100, N200, P200 and P300 potential were evaluated by a muscle electric inducing potentiometer. Results: There were no significant differences in BBS and gait parameters (P > 0.05), as well as in amplitude and incubation periods (IP) (P > 0.05) between the two groups before training. After 8 weeks treatment, the total (48.88 ± 3.68), static (26.40 ± 3.14) and dynamic (22.64 ± 3.68) balance scores improved significantly;the pace (59.22 ± 4.67), stride length (19.04 ± 2.24), feet wide (98.02 ± 7.97) and walking velocity (84.86 ± 9.88) and IP of N200 and P300 shortened obviously and P300 amplitude increased significantly in robot group (P < 0.05). Conclusion: This demonstrated that robot-assisted lower limb rehabilitation training in early stage could improve the limb function among hemiplegic patients caused by ischemic stroke. P300 may be considered as an indicator of neurological function improvement and effective robot-assisted lower limb rehabilitation training.展开更多
To achieve human lower limbs rehabilitation training, the exoskeleton lower limbs rehabilitation robot is designed. Through respective motor driving, the retarding mechanism and telescopic adjusting mechanism, the fun...To achieve human lower limbs rehabilitation training, the exoskeleton lower limbs rehabilitation robot is designed. Through respective motor driving, the retarding mechanism and telescopic adjusting mechanism, the function of human walking is accomplished. After the design of the mechanical structure, the finite element analysis is carried out on the important parts and the control system is achieved by Single Chip Microcomputer.展开更多
The number of people with lower limb disabilities caused by stroke, traffic accidents and work-related injuries is increasing sharply every year in China's Mainland, and the corresponding number of rehabilitation ...The number of people with lower limb disabilities caused by stroke, traffic accidents and work-related injuries is increasing sharply every year in China's Mainland, and the corresponding number of rehabilitation therapists is obviously insufficient. To solve this problem, domestic large hospitals have introduced advanced lower limb rehabilitation robots from abroad. However, such robots are expensive and the number of them cannot meet the needs of patients. As a result, many universities and colleges in China's Mainland have launched research on this issue. This paper collects and collates the research literature, gives the mature and typical structure and control system design scheme in China's Mainland, and lists some representative research results. Finally, the rehabilitation effect of these lower limb rehabilitation robots is evaluated.展开更多
Power-assisted lower limb exoskeleton robot is a wearable intelligent robot system involving mechanics,materials,electronics,control,robotics,and many other fields.The system can use external energy to provide additio...Power-assisted lower limb exoskeleton robot is a wearable intelligent robot system involving mechanics,materials,electronics,control,robotics,and many other fields.The system can use external energy to provide additional power to humans,enhance the function of the human body,and help the wearer to bear weight that is previously unbearable.At the same time,employing reasonable structure design and passive energy storage can also assist in specific actions.First,this paper introduces the research status of power-assisted lower limb exoskeleton robots at home and abroad,and analyzes several typical prototypes in detail.Then,the key technologies such as structure design,driving mode,sensing technology,control method,energy management,and human-machine coupling are summarized,and some common design methods of the exoskeleton robot are summarized and compared.Finally,the existing problems and possible solutions in the research of power-assisted lower limb exoskeleton robots are summarized,and the prospect of future development trend has been analyzed.展开更多
目的:分析下肢康复机器人联合悬吊运动训练对脑卒中患者下肢功能和日常生活能力的影响。方法:将2022年1月—2023年7月清远市人民医院收治的脑卒中患者90例作为本次观察对象,采取随机数字表法分成三组:A组(下肢康复机器人)、B组(悬吊运...目的:分析下肢康复机器人联合悬吊运动训练对脑卒中患者下肢功能和日常生活能力的影响。方法:将2022年1月—2023年7月清远市人民医院收治的脑卒中患者90例作为本次观察对象,采取随机数字表法分成三组:A组(下肢康复机器人)、B组(悬吊运动训练)、C组(下肢康复机器人联合悬吊运动训练),每组30例。比较三组训练后下肢Fugl-Meyer评估表(Fugl-Meyer assessment scale,FMA)评分、伯格平衡量表(Berg balance scale,BBS)评分、Holden功能性步行量表(functional amby iation category scale,FAC)评分、6分钟步行试验(6 min walk test,6MWT)及改良Barthel指数(modified Barthel index,MBI)、美国国立卫生研究院卒中量表(national institutes of health stroke scale,NIHSS)评分。结果:训练前,三组下肢FMA、BBS、FAC评分、6MWT、MBI、NIHSS评分比较,差异均无统计学意义(P>0.05);训练后,C组下肢FMA、BBS、FAC、MBI评分均明显更高于A组、B组,6MWT长于A组、B组,NIHSS评分低于A组、B组,差异均有统计学意义(P<0.05);A组、B组各项指标比较,差异均无统计学意义(P>0.05)。结论:在脑卒中后对患者采取下肢康复机器人联合悬吊运动训练,可提高患者下肢运动功能与步行能力,增强患者平衡与下肢运动功能,并改善神经功能,提高生活质量,促进身体康复。展开更多
基金Supported by National Key R&D Program of China(Grant No.2016YFE0105000)National Natural Science Foundation of China(Grant No.91848104)
文摘Lower limb rehabilitation exoskeleton robots integrate sensing, control, and other technologies and exhibit the characteristics of bionics, robotics, information and control science, medicine, and other interdisciplinary areas. In this review, the typical products and prototypes of lower limb exoskeleton rehabilitation robots are introduced and stateof-the-art techniques are analyzed and summarized. Because the goal of rehabilitation training is to recover patients’ sporting ability to the normal level, studying the human gait is the foundation of lower limb exoskeleton rehabilitation robot research. Therefore, this review critically evaluates research progress in human gait analysis and systematically summarizes developments in the mechanical design and control of lower limb rehabilitation exoskeleton robots. From the performance of typical prototypes, it can be deduced that these robots can be connected to human limbs as wearable forms;further, it is possible to control robot movement at each joint to simulate normal gait and drive the patient’s limb to realize robot-assisted rehabilitation training. Therefore human–robot integration is one of the most important research directions, and in this context, rigid-flexible-soft hybrid structure design, customized personalized gait generation, and multimodal information fusion are three key technologies.
基金supported by the National Natural Science Foundation of China(51505116)the Fundamental Research Funds for the Central Universities(JZ2016HGTB0716)+2 种基金Natural and Science Foundation of Anhui Province(1508085SME221)China Postdoctoral Science Foundation(2016M590563)the Science and Technology Public Relations Project of Anhui Province(1604a0902181)
文摘This paper focuses on the problem of the adaptive robust control of a lower limbs rehabilitation robot(LLRR) that is a nonlinear system running under passive training mode. In reality, uncertainties including modeling error, initial condition deviation, friction force and other unknown external disturbances always exist in a LLRR system. So, it is necessary to consider the uncertainties in the unilateral man-machine dynamical model of the LLRR we described. In the dynamical model, uncertainties are(possibly fast) time-varying and bounded. However, the bounds are unknown. Based on the dynamical model, we design an adaptive robust control with an adaptive law that is leakagetype based and on the framework of Udwadia-Kalaba theory to compensate for the uncertainties and to realize tracking control of the LLRR. Furthermore, the effectiveness of designed control is shown with numerical simulations.
文摘Background: Robot-assisted lower limb rehabilitation training in early stage could improve the limb function among hemiplegic patients caused by ischemic stroke. P300 potential changes have importantly clinical value for evaluating the improvement in nerve function during the training as one of the objective targets. Methods: Sixty hemiplegic patients after stroke were randomly divided into a Lokomat group (30 cases) and a control group (30 cases). The Lokomat group received Lokomat rehabilitation while the control group only received traditional rehabilitation. The gait parameters and the balance ability were evaluated by the K421GAITRite analysis system and the Berg Balance Scale (BBS);ERP components including N100, N200, P200 and P300 potential were evaluated by a muscle electric inducing potentiometer. Results: There were no significant differences in BBS and gait parameters (P > 0.05), as well as in amplitude and incubation periods (IP) (P > 0.05) between the two groups before training. After 8 weeks treatment, the total (48.88 ± 3.68), static (26.40 ± 3.14) and dynamic (22.64 ± 3.68) balance scores improved significantly;the pace (59.22 ± 4.67), stride length (19.04 ± 2.24), feet wide (98.02 ± 7.97) and walking velocity (84.86 ± 9.88) and IP of N200 and P300 shortened obviously and P300 amplitude increased significantly in robot group (P < 0.05). Conclusion: This demonstrated that robot-assisted lower limb rehabilitation training in early stage could improve the limb function among hemiplegic patients caused by ischemic stroke. P300 may be considered as an indicator of neurological function improvement and effective robot-assisted lower limb rehabilitation training.
基金Supported by Science and Technology Department of Anhui Province Regional Innovation Projects and Qiushi Plan(JZ2015QSJH0245)
文摘To achieve human lower limbs rehabilitation training, the exoskeleton lower limbs rehabilitation robot is designed. Through respective motor driving, the retarding mechanism and telescopic adjusting mechanism, the function of human walking is accomplished. After the design of the mechanical structure, the finite element analysis is carried out on the important parts and the control system is achieved by Single Chip Microcomputer.
文摘The number of people with lower limb disabilities caused by stroke, traffic accidents and work-related injuries is increasing sharply every year in China's Mainland, and the corresponding number of rehabilitation therapists is obviously insufficient. To solve this problem, domestic large hospitals have introduced advanced lower limb rehabilitation robots from abroad. However, such robots are expensive and the number of them cannot meet the needs of patients. As a result, many universities and colleges in China's Mainland have launched research on this issue. This paper collects and collates the research literature, gives the mature and typical structure and control system design scheme in China's Mainland, and lists some representative research results. Finally, the rehabilitation effect of these lower limb rehabilitation robots is evaluated.
基金the National Natural Science Foundation of China(No.52075264)。
文摘Power-assisted lower limb exoskeleton robot is a wearable intelligent robot system involving mechanics,materials,electronics,control,robotics,and many other fields.The system can use external energy to provide additional power to humans,enhance the function of the human body,and help the wearer to bear weight that is previously unbearable.At the same time,employing reasonable structure design and passive energy storage can also assist in specific actions.First,this paper introduces the research status of power-assisted lower limb exoskeleton robots at home and abroad,and analyzes several typical prototypes in detail.Then,the key technologies such as structure design,driving mode,sensing technology,control method,energy management,and human-machine coupling are summarized,and some common design methods of the exoskeleton robot are summarized and compared.Finally,the existing problems and possible solutions in the research of power-assisted lower limb exoskeleton robots are summarized,and the prospect of future development trend has been analyzed.
文摘在下肢康复机器人的康复训练过程中,模型参数、环境干扰等不确定性因素会影响机器人轨迹跟踪的精度。针对这一问题,提出了一种基于径向基函数(Radial Basis Function,RBF)神经网络的自适应补偿控制,该控制方法能够提高机械系统轨迹跟踪的精确性。首先,设计一款具有4种工作模式、运动稳定的闭链卧式下肢康复机器人结构;然后,利用拉格朗日方法求解动力学名义模型,将康复装置的模型参数以及外界干扰等不确定性因素分离出来,并设计基于RBF神经网络的自适应补偿算法对其进行逼近控制;最后,通过Matlab/Simulink环境对其进行仿真验证,证明了该控制策略的有效性。结果显示,在人体步态曲线轨迹跟踪中,提出的基于RBF神经网络的自适应补偿算法相比传统的模糊比例-积分-微分(Proportional Integral Derivative,PID)控制的方法响应速度快、跟踪效果好,且髋关节和膝关节轨迹跟踪的角度误差峰值分别为0.08°和0.13°,远小于患者下肢在康复运动中的转动角度。设计了单腿样机试验,试验结果表明,采用的RBF补偿自适应控制器能够实现高精度的跟踪结果,也能够满足患者在康复训练中安全性的要求。
文摘目的:分析下肢康复机器人联合悬吊运动训练对脑卒中患者下肢功能和日常生活能力的影响。方法:将2022年1月—2023年7月清远市人民医院收治的脑卒中患者90例作为本次观察对象,采取随机数字表法分成三组:A组(下肢康复机器人)、B组(悬吊运动训练)、C组(下肢康复机器人联合悬吊运动训练),每组30例。比较三组训练后下肢Fugl-Meyer评估表(Fugl-Meyer assessment scale,FMA)评分、伯格平衡量表(Berg balance scale,BBS)评分、Holden功能性步行量表(functional amby iation category scale,FAC)评分、6分钟步行试验(6 min walk test,6MWT)及改良Barthel指数(modified Barthel index,MBI)、美国国立卫生研究院卒中量表(national institutes of health stroke scale,NIHSS)评分。结果:训练前,三组下肢FMA、BBS、FAC评分、6MWT、MBI、NIHSS评分比较,差异均无统计学意义(P>0.05);训练后,C组下肢FMA、BBS、FAC、MBI评分均明显更高于A组、B组,6MWT长于A组、B组,NIHSS评分低于A组、B组,差异均有统计学意义(P<0.05);A组、B组各项指标比较,差异均无统计学意义(P>0.05)。结论:在脑卒中后对患者采取下肢康复机器人联合悬吊运动训练,可提高患者下肢运动功能与步行能力,增强患者平衡与下肢运动功能,并改善神经功能,提高生活质量,促进身体康复。
