scholarly journals Upper Limb Rehabilitation Robot Powered by PAMs Cooperates with FES Arrays to Realize Reach-to-Grasp Trainings

2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Xikai Tu ◽  
Hualin Han ◽  
Jian Huang ◽  
Jian Li ◽  
Chen Su ◽  
...  
Keyword(s):  
Upper Limb ◽  
Low Cost ◽  
Hand Function ◽  
Rehabilitation Robot ◽  
Reach To Grasp ◽  
Daily Lives ◽  
Upper Limb Rehabilitation ◽  
Highly Nonlinear ◽  
Rehabilitation System ◽  
Limb Rehabilitation

The reach-to-grasp activities play an important role in our daily lives. The developed RUPERT for stroke patients with high stiffness in arm flexor muscles is a low-cost lightweight portable exoskeleton rehabilitation robot whose joints are unidirectionally actuated by pneumatic artificial muscles (PAMs). In order to expand the useful range of RUPERT especially for patients with flaccid paralysis, functional electrical stimulation (FES) is taken to activate paralyzed arm muscles. As both the exoskeleton robot driven by PAMs and the neuromuscular skeletal system under FES possess the highly nonlinear and time-varying characteristics, iterative learning control (ILC) is studied and is taken to control this newly designed hybrid rehabilitation system for reaching trainings. Hand function rehabilitation refers to grasping. Because of tiny finger muscles, grasping and releasing are realized by FES array electrodes and matrix scan method. By using the surface electromyography (EMG) technique, the subject’s active intent is identified. The upper limb rehabilitation robot powered by PAMs cooperates with FES arrays to realize active reach-to-grasp trainings, which was verified through experiments.

scholarly journals Multi-Domain Dynamic Modelling of a Low-Cost Upper Limb Rehabilitation Robot

Robotics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 134
Author(s):  
Adam G. Metcalf ◽  
Justin F. Gallagher ◽  
Andrew E. Jackson ◽  
Martin C. Levesley
Keyword(s):  
Dynamic Model ◽  
Upper Limb ◽  
Low Cost ◽  
Equations Of Motion ◽  
Dynamic Modelling ◽  
Rehabilitation Robot ◽  
Data Logging ◽  
Upper Limb Rehabilitation ◽  
Model Match ◽  
Limb Rehabilitation

Tracking patient progress through a course of robotic tele-rehabilitation requires constant position data logging and comparison, alongside periodic testing with no powered assistance. The test data must be compared with previous test attempts and an ideal baseline, for which a good understanding of the dynamics of the robot is required. The traditional dynamic modelling techniques for serial chain robotics, which involve forming and solving equations of motion, do not adequately describe the multi-domain phenomena that affect the movement of the rehabilitation robot. In this study, a multi-domain dynamic model for an upper limb rehabilitation robot is described. The model, built using a combination of MATLAB, SimScape, and SimScape Multibody, comprises the mechanical electro-mechanical and control domains. The performance of the model was validated against the performance of the robot when unloaded and when loaded with a human arm proxy. It is shown that this combination of software is appropriate for building a dynamic model of the robot and provides advantages over the traditional modelling approach. It is demonstrated that the responses of the model match the responses of the robot with acceptable accuracy, though the inability to model backlash was a limitation.

scholarly journals Vision-Assisted Interactive Human-in-the-Loop Distal Upper Limb Rehabilitation Robot and its Clinical Usability Test

2019 ◽  
Vol 9 (15) ◽  
pp. 3106 ◽  
Author(s):  
Hyung Seok Nam ◽  
Nhayoung Hong ◽  
Minwoo Cho ◽  
Chiwon Lee ◽  
Han Gil Seo ◽  
...  
Keyword(s):  
Upper Limb ◽  
Low Cost ◽  
Comfort Level ◽  
Rehabilitation Robot ◽  
Stroke Patients ◽  
Upper Limb Rehabilitation ◽  
User Intent ◽  
Human In The Loop ◽  
Usability Test ◽  
Limb Rehabilitation

In the context of stroke rehabilitation, simple structures and user-intent driven actuation are relevant features to facilitate neuroplasticity as well as deliver a sufficient number of repetitions during a single therapy session. A novel robotic treatment device for distal upper limb rehabilitation in stroke patients was developed, and a usability test was performed to assess its clinical feasibility. The rehabilitation robot was designed as a two-axis exoskeleton actuated by electric motors, consisting of forearm supination/pronation and hand grasp/release, which were selected based on a kinematic analysis of essential daily activities. A vision-assisted algorithm was utilized for user-intent extraction in a human-in-the-loop concept. A usability test was performed on six physiatrists, five biomedical engineers, five rehabilitation therapists, two chronic stroke patients, and two caregivers of the patients. After sufficient instruction, all subjects tested the robot for a minimum of 10 min and completed the evaluation form using a 7-point Likert scale. The participants found the device interesting (5.7 ± 1.2), motivating (5.8 ± 0.9), and as having less possibility of causing injury or safety issues (6.1 ± 1.1); however, the appropriateness of difficulty (4.8 ± 1.9) and comfort level (4.9 ± 1.3) were found to be relatively low. Further development of the current device would provide a good treatment option as a simple, low-cost, and clinically feasible rehabilitation robot for stroke.

Virtual Reality Enhanced Robotic Systems for Disability Rehabilitation

2018 ◽  
pp. 1267-1287
Author(s):  
Wei Wei
Keyword(s):  
Virtual Reality ◽  
Virtual Environment ◽  
Upper Limb ◽  
Haptic Device ◽  
Rehabilitation Robot ◽  
Robot System ◽  
Upper Limb Rehabilitation ◽  
Rehabilitation Training ◽  
Rehabilitation System ◽  
Limb Rehabilitation

This chapter mainly introduced the virtual reality as many benefits of robots involved in disability rehabilitation. According to the vision feedback and force feedback, the therapist can adjust his operation. Virtual reality technology can provide repeated practice, performance feedback and motivation techniques for rehabilitation training. Patients can learn motor skills in a virtual environment, and then transfer the skills to the real world. It is hopeful to achieve satisfactory outcome in the field of rehabilitation in the future. VR is mainly used for the upper-limb rehabilitation robot system in this article. The objective of robotic systems for disability rehabilitation are explored to divide the whole rehabilitation training process into three parts, earliest rehabilitation training, medium-term rehabilitation training and late rehabilitation training, respectively. Accordingly, brain-computer training modes, the master-slave training modes and the electromyogram (EMG) signals training modes are developed to be used in rehabilitation training to help stroke patients with hemiplegia to restore the motor function of upper limb. Aimed at the rehabilitation goal, three generations of VR rehabilitation system has designed. The first generation of VR rehabilitation system includes haptic device (PHANTOM Omni), an advanced inertial sensor (MTx) and a computer. The impaired hand grip the stylus of haptic device, the intact hand can control the impaired hand's motion based on the virtual reality scene. The second generation of the VR rehabilitation system is the exoskeleton robots structure. Two virtual upper limbs are portrayed in the virtual environment, simulated the impaired hand and the intact hand, respectively. The third generation is a novel VR-based upper limb rehabilitation robot system. In the system, the realization of virtual reality environment is implemented, which can potentially motivate patients to exercise for longer periods of time. Not only virtual images but also position and force information are sent to the doctors. The development of this system can be a promising approach for further research in the field of tele-rehabilitation science.

Virtual Reality Enhanced Robotic Systems for Disability Rehabilitation

2016 ◽  
pp. 48-68
Author(s):  
Wei Wei
Keyword(s):  
Virtual Reality ◽  
Virtual Environment ◽  
Upper Limb ◽  
Haptic Device ◽  
Rehabilitation Robot ◽  
Robot System ◽  
Upper Limb Rehabilitation ◽  
Rehabilitation Training ◽  
Rehabilitation System ◽  
Limb Rehabilitation

This chapter mainly introduced the virtual reality as many benefits of robots involved in disability rehabilitation. According to the vision feedback and force feedback, the therapist can adjust his operation. Virtual reality technology can provide repeated practice, performance feedback and motivation techniques for rehabilitation training. Patients can learn motor skills in a virtual environment, and then transfer the skills to the real world. It is hopeful to achieve satisfactory outcome in the field of rehabilitation in the future. VR is mainly used for the upper-limb rehabilitation robot system in this article. The objective of robotic systems for disability rehabilitation are explored to divide the whole rehabilitation training process into three parts, earliest rehabilitation training, medium-term rehabilitation training and late rehabilitation training, respectively. Accordingly, brain-computer training modes, the master-slave training modes and the electromyogram (EMG) signals training modes are developed to be used in rehabilitation training to help stroke patients with hemiplegia to restore the motor function of upper limb. Aimed at the rehabilitation goal, three generations of VR rehabilitation system has designed. The first generation of VR rehabilitation system includes haptic device (PHANTOM Omni), an advanced inertial sensor (MTx) and a computer. The impaired hand grip the stylus of haptic device, the intact hand can control the impaired hand's motion based on the virtual reality scene. The second generation of the VR rehabilitation system is the exoskeleton robots structure. Two virtual upper limbs are portrayed in the virtual environment, simulated the impaired hand and the intact hand, respectively. The third generation is a novel VR-based upper limb rehabilitation robot system. In the system, the realization of virtual reality environment is implemented, which can potentially motivate patients to exercise for longer periods of time. Not only virtual images but also position and force information are sent to the doctors. The development of this system can be a promising approach for further research in the field of tele-rehablitation science.

Fuzzy Self-Tuning PI Control for the Upper Limb Rehabilitation Robot

2014 ◽  
Vol 556-562 ◽  
pp. 2262-2265
Author(s):  
Yu Ding Cui ◽  
Cai Hua Xiong
Keyword(s):  
Upper Limb ◽  
Time Lag ◽  
Pi Control ◽  
Rehabilitation Robot ◽  
Upper Limb Rehabilitation ◽  
Pneumatic Muscle ◽  
Highly Nonlinear ◽  
Static Performance ◽  
Self Tuning ◽  
Limb Rehabilitation

It is well known that the robot powered by pneumatic muscle actuator (PMA) which with highly nonlinear, time lag and time-varying characteristics is not easy to control. In this paper, we presented a hybrid fuzzy and PI controller for the upper-limb rehabilitation robot which was designed and built in our lab to assist patients post-stroke in the rehabilitation. The experimental results showed that controller can improve dynamic and static performance of the device, then it can control robot effectively to aid patients carrying on the systematized recovery training.

Upper-limb Rehabilitation Robot Based on Motor Imagery EEG

ROBOT ◽  
2011 ◽  
Vol 33 (3) ◽  
pp. 307-313 ◽  
Author(s):  
Baoguo XU ◽  
Si PENG ◽  
Aiguo SONG
Keyword(s):  
Motor Imagery ◽  
Upper Limb ◽  
Rehabilitation Robot ◽  
Upper Limb Rehabilitation ◽  
Limb Rehabilitation

Upper-limb Rehabilitation Robot Motion Control Based on Dynamic Interpolation

ROBOT ◽  
2012 ◽  
Vol 34 (5) ◽  
pp. 539 ◽  
Author(s):  
Lizheng PAN ◽  
Aiguo SONG ◽  
Guozheng XU ◽  
Huijun LI ◽  
Baoguo XU
Keyword(s):  
Motion Control ◽  
Upper Limb ◽  
Robot Motion ◽  
Rehabilitation Robot ◽  
Upper Limb Rehabilitation ◽  
Limb Rehabilitation
Sign in / Sign up

Export Citation Format

Share Document