DocumentCode
3684970
Title
An EEG-driven Lower Limb Rehabilitation Training System for Active and Passive Co-stimulation
Author
Xin Zhang;Guanghua Xu;Jun Xie;Min Li;Wei Pei;Jinhua Zhang
Author_Institution
School of Mechanical Engineering, Xi´an Jiaotong University 710049 China
fYear
2015
Firstpage
4582
Lastpage
4585
Abstract
With the advent of an aging society, stroke makes a heavy burden for our society. Stroke can damage the motor and sensory neural system and block the closed loop between the brain and the body. Due to the neural plasticity, this closed loop can be rebuilt through training. Users´ actively engagement can help expedite functional recovery. Therefore, we propose an EEG-driven Lower Limb Rehabilitation Training System (LLRTS) that can achieve Active and Passive Co-stimulation (APC). Virtual Reality (VR), BCI and robot are introduced into the system. When users have motor intentions, this system could automatically support corresponding visual and somatic sensory feedback. That is to say active and passive stimulations are controlled by user´s mind. This paper reports the idea and construction of this rehabilitation system. Preliminary experimental results support the concept.
Keywords
"Robots","Training","Visualization","Electroencephalography","Neurons","Mirrors","Accuracy"
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
ISSN
1094-687X
Electronic_ISBN
1558-4615
Type
conf
DOI
10.1109/EMBC.2015.7319414
Filename
7319414
Link To Document