手部精细运动功能的主动神经康复方法研究

For the stroke survivors and traumatic brain injuried patients with motor dysfunction, the slow and limited recovery of the hand’s fine motor function is ubiquitous in the clinical rehabilitation. However, most of the current forearm rehab-robots could only provide few simple motor, and lack of effective stimulation to the cognitive engagement of patients. In order to solve these problems, this project proposes an new active neurorehabilitation method that is drived with the voluntary movement intention of patient and has multiple fine movement patterns. The disabled patients who are suffering from mild and moderate motor dysfunction will be recruited as the subjects. The pattern recognition technique will be used to identify the subject’s motor intention based on the surface electromyography and the angle signals of finger flextion, which are recorded when the subject performing voluntary hand movements. A human-computer interaction interface will be then developed by means of the virtual-reality biofeedback technique. With the motor intent of subject and the human-computer interaction, the active neurorehabiitation will be realized. In order to further evaluate the neurorehabilitation performance of pre-intervention, during-intervention and post-intervention, some new quantified measure indexes will be proposed. The implementation of this project would provide a novel active neurorehabilitation approach that can accelerate and improve the recovery of forearm’s fine motor function, and it might help us to understand the rehabilitation. Meanwhile, it will also provide important theoretical and technical supports for the development of next generation high-performance rehab-robots.

在脑卒中和脑外伤后肢体运动功能障碍患者的临床康复中，普遍存在着手部精细运动功能恢复速度慢、恢复效果有限等问题。然而，目前多数的手部康复机器人仅能提供简单、有限的运动模式，且缺乏对患者参与康复训练主动性的有效刺激。为此，本项目提出一种基于患者自主动作意图、具有多种手部精细运动模式的主动神经康复方法。本项目拟以脑卒中和脑外伤后的轻度-中度运动功能障碍患者为研究对象，利用其自主运动时的表面肌电信息和手指弯曲度信息，通过模式识别技术检测其手部精细动作意图，并结合虚拟现实生物反馈技术实现以患者为中心的主动神经康复训练，进而通过量化的指标对主动神经康复“干预前、干预中、干预后”的康复情况和康复效果给予客观评价。本项目的实施有望提供一种新型的主动神经康复方法，加速运动功能障碍患者手部精细运动功能的康复进程，提高康复效果，了解运动功能康复机制，同时为下一代高性能康复机器人的研发提供理论基础和技术支持。