Basteris Angelo, De Luca Alice, Sanguineti Vittorio, Solaro Claudio, Mueller Margit, Carpinella Ilaria, Cattaneo Davide, Bertoni Rita, Ferrarin Maurizio
Dept. of Informatics, Systems and Telematics, University of Genoa, Genoa, Italy.
IEEE Int Conf Rehabil Robot. 2011;2011:5975509. doi: 10.1109/ICORR.2011.5975509.
We developed a robot-assisted rehabilitation protocol, specifically designed to treat cerebellar and motor symptoms in subjects with Multiple Sclerosis. The task consists of controlling a `virtual' tool (a mass-spring system), under the effect of a resistive force. The exercise is designed in such a way that task difficulty and the degree of resistance are automatically adjusted to the individual patients' impairment. The protocol included a total of eight 40 min training sessions (2 sessions/week), and automatic regulation of difficulty and resistance was repeated at the beginning of each session. Preliminary results suggest that subjects improve their performance, both within and between sessions. Moreover, task difficulty and resistance tend to increase across sessions, indicating that subjects gradually improve their ability to deal with more challenging versions of the task.
我们制定了一种机器人辅助康复方案，专门用于治疗多发性硬化症患者的小脑和运动症状。该任务包括在阻力作用下控制一个“虚拟”工具（一个质量-弹簧系统）。该训练以这样一种方式设计，即任务难度和阻力程度会根据个体患者的损伤情况自动调整。该方案总共包括八次40分钟的训练课程（每周两次），并且在每次课程开始时都会重复自动调节难度和阻力。初步结果表明，患者在各次课程内及课程之间的表现都有所改善。此外，任务难度和阻力在各次课程中往往会增加，这表明患者逐渐提高了应对更具挑战性任务版本的能力。
