Hand Rehabilitation using Variable Assistance through Force and EMG Feedback

描述(由申请人提供)：这个项目建议开发和评估一个为慢性偏瘫中风幸存者的手康复系统，这些幸存者已经失去了完全控制他们的手的能力。中风是成人致残的主要原因，也是第三大原因 在美国的死亡。中风幸存者通常面临身体对侧上肢功能运动控制的显著丧失。由于上肢功能的巨大复杂性，上肢功能恢复尤为困难。用户对手运动的控制是重新获得正确的中央运动控制的关键。研究表明，通过重复训练孤立动作，瘫痪的手可以得到改善。该计划将指导手康复系统的开发工作，该系统根据用户的自愿运动和表面肌电(EMG)测量的反馈，在物理康复期间提供所需的适应性帮助。模式识别技术将与EMG输入一起使用，以确定用户预期的复杂手部运动。在治疗训练动作中纳入用户输入，以设置适当的辅助水平，以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.