Hand Rehabilitation using Variable Assistance through Force and EMG Feedback

描述（由申请人提供）：本项目旨在为失去完全控制手部能力的慢性偏瘫中风幸存者开发和评估手部康复系统。中风是导致成人残疾的主要原因，是第三大原因 死亡在美国。中风幸存者经常面临着身体对侧上肢运动控制功能的显著丧失。上肢功能的恢复由于其巨大的复杂性而特别困难。用户对手部运动的控制对于重新获得正确的中央运动控制至关重要。已经证明，瘫痪的手可以通过重复训练孤立的动作来改善。该计划将直接开发手部康复系统，该系统在身体康复期间根据用户的意志运动和表面肌电图（EMG）测量的反馈提供所需的自适应辅助。模式识别技术将与EMG输入一起使用，以确定用户的预期复杂手部运动。在治疗性训练操作期间纳入用户输入，以设置适当的辅助水平，从而促进中风幸存者的有效运动学习。

DESCRIPTION (provided by applicant): This project proposes to develop and evaluate a hand rehabilitation system for chronic hemiparetic stroke survivors that have lost their ability to full control their hand. Stroke is the leading cause of adult disability, and is the third leading cause of death in the United States. Stroke survivors often face a significant loss of functional motor control in the upper limbs of the contralesional side of the body. Restoration of upper limb function is particularly difficult due to its enormous complexity. User control of hand movement is crucial to regaining correct central motor control. It has been shown that the paralyzed hand can be improved through repetitive training of isolated movements. This program will direct development efforts towards a hand rehabilitation system that provides adaptive assistance as needed during physical rehabilitation based on feedback from both the user's volitional movement and surface electromyogram (EMG) measurements. Pattern recognition techniques will be utilized with the EMG input to determine the user's intended complex hand movement. User input is incorporated during therapeutic training maneuvers to set the appropriate level of assistance to promote efficient motor learning in stroke survivors.