Chen Baojun, Wang Qining
Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:4777-80. doi: 10.1109/EMBC.2015.7319462.
Affording lower-limb amputees the ability to volitionally control robotic prostheses can improve the adaptability to terrain changes as well as enhancing proprioception. However, it also increases amputees' conscious burdens for prosthesis control. Therefore, in this paper, we aim to propose a hybrid controller which combines human volitional control with the intrinsic controller on the robotic transtibial prosthesis, enabling the amputee actively controlling prosthesis with little conscious attention. In this preliminary study, a hybrid controller for adaptive slope walking was designed. A slope estimator was embedded in the intrinsic controller to estimate the ground slope of the previous step using signals measured by prosthetic sensors. And a myoelectric controller allows the amputee subject to convey slope changes to prosthetic controller by volitionally contract his residual muscles, whose electromyography signals were mapped to the slope increment. The hybrid controller combined these two results to obtain the estimated slope. One male transtibial amputee subject was recruited in this research. Experiment results showed that the intrinsic slope estimator produced satisfactory estimation results with an average absolute error of 0.70 ± 0.54 degrees. By adding amputee's volitional control, the hybrid controller is able to predict the upcoming slope changes.
使下肢截肢者能够自主控制机器人假肢,可以提高对地形变化的适应性并增强本体感觉。然而,这也增加了截肢者控制假肢的意识负担。因此,在本文中,我们旨在提出一种混合控制器,该控制器将人类的自主控制与机器人小腿假肢上的固有控制器相结合,使截肢者能够在很少有意识关注的情况下主动控制假肢。在这项初步研究中,设计了一种用于自适应斜坡行走的混合控制器。在固有控制器中嵌入了一个坡度估计器,以使用假肢传感器测量的信号来估计上一步的地面坡度。并且一个肌电控制器允许截肢者通过自主收缩其残余肌肉将坡度变化传达给假肢控制器,其肌电信号被映射到坡度增量。混合控制器将这两个结果结合起来以获得估计坡度。本研究招募了一名男性小腿截肢者。实验结果表明,固有坡度估计器产生了令人满意的估计结果,平均绝对误差为0.70±0.54度。通过添加截肢者的自主控制,混合控制器能够预测即将到来的坡度变化。