University of Medicine and Dentistry of New Jersey, Department of Rehabilitation and Movement Science, Newark, NJ, USA.
J Neuroeng Rehabil. 2009 Jul 17;6:28. doi: 10.1186/1743-0003-6-28.
Current neuroscience has identified rehabilitation approaches with the potential to stimulate adaptive changes in the brains of persons with hemiparesis. These approaches include, intensive task-oriented training, bimanual activities and balancing proximal and distal upper extremity interventions to reduce competition between these segments for neural territory.
This paper describes the design and feasibility testing of a robotic/virtual environment system designed to train the hand and arm of persons with hemiparesis. The system employs a simulated piano that presents visual, auditory and tactile feedback comparable to an actual piano. Arm tracking allows patients to train both the arm and hand as a coordinated unit, emphasizing the integration of both transport and manipulation phases. The piano trainer includes songs and scales that can be performed with one or both hands. Adaptable haptic assistance is available for more involved subjects. An algorithm adjusts task difficulty in proportion to subject performance. A proof of concept study was performed on four subjects with upper extremity hemiparesis secondary to chronic stroke to establish: a) the safety and feasibility of this system and b) the concurrent validity of robotically measured kinematic and performance measures to behavioral measures of upper extremity function.
None of the subjects experienced adverse events or responses during or after training. As a group, the subjects improved in both performance time and key press accuracy. Three of the four subjects demonstrated improvements in fractionation, the ability to move each finger individually. Two subjects improved their aggregate time on the Jebsen Test of Hand Function and three of the four subjects improved in Wolf Motor Function Test aggregate time.
The system designed in this paper has proven to be safe and feasible for the training of hand function for persons with hemiparesis. It features a flexible design that allows for the use and further study of adjustments in point of view, bilateral and unimanual treatment modes, adaptive training algorithms and haptically rendered collisions in the context of rehabilitation of the hemiparetic hand.
当前的神经科学已经确定了具有刺激偏瘫患者大脑适应性变化潜力的康复方法。这些方法包括:强化任务导向训练、双手活动和平衡近端和远端上肢干预,以减少这些部位对神经区域的竞争。
本文描述了一种设计和可行性测试,用于设计一种机器人/虚拟环境系统,旨在训练偏瘫患者的手和手臂。该系统采用模拟钢琴,提供与实际钢琴相当的视觉、听觉和触觉反馈。手臂跟踪允许患者将手臂和手作为一个协调的单元进行训练,强调了两者的运输和操作阶段的整合。钢琴训练器包括歌曲和音阶,可以用一只手或两只手演奏。适应性触觉辅助适用于更复杂的患者。一种算法根据患者的表现调整任务难度。对 4 名因慢性中风导致上肢偏瘫的受试者进行了概念验证研究,以确定:a)该系统的安全性和可行性,以及 b)机器人测量的运动学和性能测量与上肢功能行为测量的同时有效性。
在训练期间或之后,没有受试者出现不良反应或反应。作为一个整体,受试者在表现时间和按键准确性方面都有所提高。在四个手指的独立运动能力(分数化)方面,四个受试者中的三个得到了提高。两个受试者在手功能 Jebsen 测试的总时间上有所提高,四个受试者中的三个在 Wolf 运动功能测试的总时间上有所提高。
本文设计的系统已被证明对手部功能训练偏瘫患者是安全和可行的。它具有灵活的设计,允许在视点、双侧和单手治疗模式、自适应训练算法以及偏瘫手康复中触觉呈现的碰撞方面进行调整和进一步研究。