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
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"
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
Electronic_ISBN :
1558-4615
DOI :
10.1109/EMBC.2015.7319414