Division of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, California, USA.
J Neuroeng Rehabil. 2011 Aug 3;8:42. doi: 10.1186/1743-0003-8-42.
Current guidelines for rehabilitation of arm and hand function after stroke recommend that motor training focus on realistic tasks that require reaching and manipulation and engage the patient intensively, actively, and adaptively. Here, we investigated the feasibility of a novel robotic task-practice system, ADAPT, designed in accordance with such guidelines. At each trial, ADAPT selects a functional task according to a training schedule and with difficulty based on previous performance. Once the task is selected, the robot picks up and presents the corresponding tool, simulates the dynamics of the tasks, and the patient interacts with the tool to perform the task.
Five participants with chronic stroke with mild to moderate impairments (> 9 months post-stroke; Fugl-Meyer arm score 49.2 ± 5.6) practiced four functional tasks (selected out of six in a pre-test) with ADAPT for about one and half hour and 144 trials in a pseudo-random schedule of 3-trial blocks per task.
No adverse events occurred and ADAPT successfully presented the six functional tasks without human intervention for a total of 900 trials. Qualitative analysis of trajectories showed that ADAPT simulated the desired task dynamics adequately, and participants reported good, although not excellent, task fidelity. During training, the adaptive difficulty algorithm progressively increased task difficulty leading towards an optimal challenge point based on performance; difficulty was then continuously adjusted to keep performance around the challenge point. Furthermore, the time to complete all trained tasks decreased significantly from pretest to one-hour post-test. Finally, post-training questionnaires demonstrated positive patient acceptance of ADAPT.
ADAPT successfully provided adaptive progressive training for multiple functional tasks based on participant's performance. Our encouraging results establish the feasibility of ADAPT; its efficacy will next be tested in a clinical trial.
目前针对脑卒中后手臂和手部功能康复的指南建议,运动训练应侧重于需要进行伸展和操作的实际任务,并使患者积极主动地进行密集训练。在此,我们研究了一种新型机器人任务练习系统 ADAPT 的可行性,该系统是根据这些指南设计的。在每次试验中,ADAPT 根据训练计划和基于先前表现的难度选择一项功能任务。一旦任务被选中,机器人会拿起并呈现相应的工具,模拟任务的动力学,患者与工具互动以完成任务。
5 名患有慢性脑卒中且存在轻度至中度障碍的患者(>9 个月脑卒中后;Fugl-Meyer 上肢评分 49.2±5.6),按照预测试中选择的 6 个任务中的 4 个任务,使用 ADAPT 进行约一个半小时和 144 次试验,每次任务 3 个试验块的伪随机计划。
未发生不良事件,ADAPT 无需人工干预即可成功呈现 6 项功能任务,共进行了 900 次试验。轨迹的定性分析表明,ADAPT 充分模拟了所需的任务动力学,参与者报告了良好的任务保真度,尽管不是极佳。在训练过程中,自适应难度算法根据表现逐渐增加任务难度,以达到基于表现的最佳挑战点;然后不断调整难度,使表现保持在挑战点附近。此外,完成所有训练任务的时间从预测试到 1 小时后测试显著减少。最后,培训后的问卷调查表明患者对 ADAPT 的接受度较高。
ADAPT 根据参与者的表现成功地提供了多项功能任务的自适应渐进式训练。我们令人鼓舞的结果确立了 ADAPT 的可行性;其疗效将在下一次临床试验中进行测试。