Wright Zachary A, Patton James L, Huang Felix C
Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:2507-2510. doi: 10.1109/EMBC.2018.8512737.
Clinical investigators have asserted patients should be active participants in the therapy process in stroke rehabilitation. While robotics introduces new tools for measurement and treatment of motor impairments, it also presents challenges for evaluating how much a patient contributes to observed movements during training. Our approach employs established methods of inverse dynamics combined with measurements of human motion and interaction forces between the human and robot. Here, we investigated whether measures of patient active involvement predict the level of upper limb recovery due to robot-assisted therapy. Stroke survivors (n=11) completed "exploration" training with customizable forces that increased their velocities (i.e., negative damping). While our results showed a mild trend between mechanical work during training and expanded velocity capability (Pearson r = 0.57), we found significant correlations with the amount of positive work (i.e., propulsion; r = 0.77), but not negative work (i.e., braking; r = 0.41). This work supports robotic tools that encourage more positive work.
临床研究人员断言，在中风康复治疗过程中，患者应成为积极参与者。虽然机器人技术为运动障碍的测量和治疗引入了新工具，但它也给评估患者在训练期间对观察到的运动贡献程度带来了挑战。我们的方法采用既定的逆动力学方法，结合人体运动测量以及人与机器人之间的相互作用力测量。在此，我们研究了患者主动参与的测量指标是否能预测机器人辅助治疗导致的上肢恢复水平。中风幸存者（n = 11）完成了“探索”训练，训练中可定制力增加了他们的速度（即负阻尼）。虽然我们的结果显示训练期间的机械功与扩展速度能力之间存在轻微趋势（皮尔逊r = 0.57），但我们发现与正功量（即推进；r = 0.77）存在显著相关性，而与负功（即制动；r = 0.41）不存在显著相关性。这项研究支持鼓励更多正功的机器人工具。
