scholarly journals Design and Analysis of a Lower Limb Rehabilitation Training Component for Bedridden Stroke Patients

Machines ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 224
Author(s):  
Xusheng Wang ◽  
Yongfei Feng ◽  
Jiazhong Zhang ◽  
Yungui Li ◽  
Jianye Niu ◽  
...  

Carrying out the immediate rehabilitation interventional therapy will better improve the curative effect of rehabilitation therapy, after the condition of bedridden stroke patients becomes stable. A new lower limb rehabilitation training module, as a component of a synchronous rehabilitation robot for bedridden stroke patients’ upper and lower limbs, is proposed. It can electrically adjust the body shape of patients with a different weight and height. Firstly, the innovative mechanism design of the lower limb rehabilitation training module is studied. Then, the mechanism of the lower limb rehabilitation module is simplified and the geometric relationship of the human–machine linkage mechanism is deduced. Next, the trajectory planning and dynamic modeling of the human–machine linkage mechanism are carried out. Based on the analysis of the static moment safety protection of the human–machine linkage model, the motor driving force required in the rehabilitation process is calculated to achieve the purpose of rationalizing the rehabilitation movement of the patient’s lower limb. To reconstruct the patient’s motor functions, an active training control strategy based on the sandy soil model is proposed. Finally, the experimental platform of the proposed robot is constructed, and the preliminary physical experiment proves the feasibility of the lower limb rehabilitation component.

2021 ◽  
pp. 1-44
Author(s):  
Chennan Yu ◽  
Jun Ye ◽  
Jiangming Jia ◽  
Xiong Zhao ◽  
Zhiwei Chen ◽  
...  

Abstract A foot-driven rehabilitation mechanism is suitable for home healthcare due to its advantages of simplicity, effectiveness, small size, and low price. However, most of the existing studies on lower limb rehabilitation movement only consider the trajectory of the ankle joint and ignore the influence of its posture angle, which makes it difficult to ensure the rotation requirements of the ankle joint and achieve a better rehabilitation effect. Aiming at the shortcomings of the current research, this paper proposes a new single degree-of-freedom (DOF) configuration that uses a noncircular gear train to constrain the three revolute joints (3R) open-chain linkage and expounds its dimensional synthesis method. Then, a parameter optimization model of the mechanism is established, and the genetic algorithm is used to optimize the mechanism parameters. According to the eight groups of key poses and position points of the ankle joint and the toe, the different configurations of the rehabilitation mechanism are synthesized and compared, and it is concluded that the newly proposed 3R open-chain noncircular gear-linkage mechanism exhibits better performance. Finally, combined with the requirements of rehabilitation training, a lower limb rehabilitation training device is designed based on this new configuration, and a prototype is developed and tested. The test results show that the device can meet the requirements of the key position points and posture angles of the ankle joint and the toe and verify the correctness of the proposed dimensional synthesis and optimization methods.


2021 ◽  
Vol 11 (2) ◽  
pp. 867
Author(s):  
Mingda Miao ◽  
Xueshan Gao ◽  
Wei Zhu

In response to the rehabilitation needs of stroke patients who are unable to benefit from conventional rehabilitation due to the COVID-19 epidemic, this paper designs a robot that combines on-site and telerehabilitation. The objective is to assist the patient in walking. We design the electromechanical system with a gantry mechanism, body-weight support system, information feedback system, and man-machine interactive control system. The proposed rehabilitation robot remote system is based on the client/server (C/S) network framework to realize the remote control of the robot state logic and the transmission of patient training data. Based on the proposed system, doctors can set or adjust the training modes and control the parameters of the robot and guide remote patient rehabilitation training through video communication. The robotic system can further store and manage the rehabilitation data of the patient during training. Experiments show the human-computer interaction system of the lower limb rehabilitation robot has good performance, can accurately recognize the information of human motion posture, and achieve the goal of actively the following motion. Experiments confirm the feasibility of the proposed design, the information management of stroke patients, and the efficiency of rehabilitation training. The proposed system can reduce the workload of the doctors in practical training.


2014 ◽  
Vol 14 (06) ◽  
pp. 1440004 ◽  
Author(s):  
SHUAI GUO ◽  
JIANCHENG JI ◽  
GUANGWEI MA ◽  
TAO SONG ◽  
JING WANG

After analyzing the rehabilitation needs of stroke patients and the previous studies on lower limb rehabilitation robot, our lower limb rehabilitation robot is designed for stroke patients' gait and balance training. The robot consists of the mobile chassis, the support column and the pelvis mechanism and it is described in detail. As the pelvis mechanism allows most of the patient's motion degrees of freedom (DOFs), the kinematics model of the mechanism is set up, and kinematics simulation is carried out to study the motion characteristics of the mechanism. After analyzing the calculation and simulation results, the pelvis mechanism is proven to measure up to the movement needs of the paralytic's waist and pelvis in walking rehabilitation process.


2019 ◽  
Vol 33 (11) ◽  
pp. 5461-5472 ◽  
Author(s):  
Yan-lin Wang ◽  
Ke-yi Wang ◽  
Wan-li Wang ◽  
Peng-cheng Yin ◽  
Zhuang Han

2014 ◽  
Vol 926-930 ◽  
pp. 1144-1147
Author(s):  
Lei Chen ◽  
Chang Niu Yang ◽  
Wen Quan Huang ◽  
Ze Gang Sun ◽  
Yu Cong Liu

To solve the rehabilitation evaluation problem of rehabilitation training, a rehabilitation evaluation method based on fuzzy comprehensive evaluation was presented for 6-DOF wearable lower limb rehabilitation robot. Relative degradation degree was introduced to represent the transformation of the actual state of rehabilitation training and the very poor rehabilitation. On the basis, Rehabilitation evaluation model was built based on fuzzy comprehensive evaluation, each layer of which was evaluated respectively, and suggests rehabilitation evaluation results of a lower limb rehabilitation robot. The instance analysis shows that the method is reasonable and effective.


10.5772/62032 ◽  
2016 ◽  
Vol 13 (1) ◽  
pp. 10 ◽  
Author(s):  
Bingjing Guo ◽  
Jianhai Han ◽  
Xiangpan Li ◽  
Taotao Fang ◽  
Aimin You

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