Design of Functional Electrical Stimulation Cycling System for Lower-Limb Rehabilitation of Stroke Patients

Author(s):  
Xiaojun Wang ◽  
Kenry W.C. Leung ◽  
Yuqi Fang ◽  
Sai Chen ◽  
Raymond K.Y. Tong
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.


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.


2013 ◽  
Vol 721 ◽  
pp. 661-665
Author(s):  
Jia Jia Mo ◽  
Yi Jui Chiu ◽  
Dar Zen Chen

We propose a lower limb rehabilitation device to assist people with impairment in regaining the ability of legs. The device consists of links and the installation of springs, the features are as follows: (1) it is semi-passive and home-based, allowing stroke patients to conduct lower limb movement under their own control; (2) the structure is simple and the weight is light, but it has the similar benefit as other therapeutic robots; (3) Biodex and Electromyography (EMG) are utilized to analyze the device. The result shows rectus femoris, vastus lateralis and vastus medialis muscles are well trained.


2020 ◽  
Vol 2 (4) ◽  
pp. 631-638
Author(s):  
Inga Lypunova Petersen ◽  
Weronika Nowakowska ◽  
Christian Ulrich ◽  
Lotte N. S. Andreasen Struijk

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.


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