Dual robot system for upper limb rehabilitation after stroke: The design process

Author(s):  
A E Jackson ◽  
R J Holt ◽  
P R Culmer ◽  
S G Makower ◽  
M C Levesley ◽  
...  

Stroke is the most common cause of severe disability in the UK. Arm impairment is common and recovery is partly dependent on the intensity and frequency of rehabilitation intervention. However, physical therapy resources are often limited, so methods of supplementing traditional physiotherapy are essential. Robot assisted physiotherapy is one way to increase the duration patients spend participating in rehabilitation activities. A single robot system has been developed at the University of Leeds that actively assists patients undertaking therapeutic movements in a three-dimensional workspace. However, using only a single point of contact at the wrist to assist with therapeutic reaching movements does not allow control or support of the more proximal joints of the upper limb. This could lead to discomfort during assisted exercise. In addition, the design suffers from a restrictive workspace, limiting the range of therapeutic exercise that can be undertaken. To address these limitations, the intelligent Pneumatic Arm Movement system has been developed. A major aspect of the development process has been the continual involvement of physiotherapists and stroke patients; the end users of the system. Through inclusion of these stakeholders, a system has been developed that satisfies their requirements for workspace, comfort, safety, and ease of use.

2009 ◽  
Vol 41 (12) ◽  
pp. 981-985 ◽  
Author(s):  
S Masiero ◽  
E Carraro ◽  
C Ferraro ◽  
P Gallina ◽  
A Rossi ◽  
...  

2018 ◽  
pp. 1267-1287
Author(s):  
Wei Wei

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.


Author(s):  
Wei Wei

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.


2021 ◽  
pp. 823-827
Author(s):  
Ainara Garzo ◽  
Javier Arcas-Ruiz-Ruano ◽  
Iñigo Dorronsoro ◽  
Gabriel Gaminde ◽  
Je Hyung Jung ◽  
...  

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