A motion intention-based upper limb rehabilitation training system to stimulate motor nerve through virtual reality. (23rd November 2017)

• Record Type: Journal Article
• Authors: Xing, Li; Wang, Xiaofeng; Wang, Jianhui
• Is Part Of: International journal of advanced robotic systems. Volume 14:Number 6(2017:Nov./Dec.)
• Publication Date: 2017-11-23
• Subjects: Upper limb rehabilitation exoskeleton -- neural plasticity -- motion intention -- human–robot interaction -- virtual reality; Robotics -- Periodicals; Robotics; Periodicals; 629.892
• DOI: 10.1177/1729881417743283
• Languages: English
• ISSNs: 1729-8806

Abstract

Motor rehabilitation strategies for treating motor deficits after stroke are based on the understanding of the neural plasticity. In recent years, various upper limb rehabilitation robots have been proposed for the stroke survivors to provide relearning of motor skills by stimulating the motor nerve. However, several aspects including costing, human–robot interaction, and effective stimulation of motor nerve still remain as major issues. In this article, a new upper limb rehabilitation training system named as motion intention-based virtual reality training system is developed to close the aforementioned issues. The system identifies the user's motion intention via force sensors mounted on the rehabilitation robot to conduct therapeutic exercises and stimulates the user's motor nerve by introducing the illusion of immersion in virtual reality environment. The illusion of immersion is developed by creating Virtual Exoskeleton Robot model which is driven by user's motion intention and reflecting the motion states in real time. The users can be present to the training exercises by themselves and fully engage in the virtual reality environment, so that they can relax, move, and recreate motor neuro-pathways. As preliminary phase, six healthy subjects were invited to participate in experiments. The experimental results showed that the motion intention-based virtual reality training system is effective for the upper limb rehabilitation exoskeleton and the evaluations of the developed system showed a significant reduction of the performance error in the training task.