Ye Jing, Nakashima Yasutaka, Zhang Bo, Kobayashi Yo, Fujie Masakatsu G
Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:3098-101. doi: 10.1109/EMBC.2014.6944278.
More and more stroke survivors are suffering from physical motor impairments. Current therapeutic interventions have various limits to the efficient recovery of normal motor function of the lower limbs. Therefore, we propose a novel gait rehabilitation system for hemiplegic patients after stroke. It integrates functional electrical stimulation (FES) with a pelvis-supporting robotic system. A corresponding relationship between the gait phase and the active lateral movement of the pelvis is first constructed from experiments on simulated hemiplegic patients. By estimating the gait phase from the lateral motion of the pelvis based on this relationship, the timing of FES sent to the muscles of the lower limbs can be automatically determined during a gait cycle. After experiments on simulated hemiplegic stroke survivors with the FES control algorithm, the proposed algorithm and the gait rehabilitation system are verified to be feasible and promising.
越来越多的中风幸存者正遭受身体运动障碍。目前的治疗干预措施在有效恢复下肢正常运动功能方面存在各种局限性。因此,我们提出了一种针对中风后偏瘫患者的新型步态康复系统。它将功能性电刺激(FES)与骨盆支撑机器人系统相结合。首先通过对模拟偏瘫患者的实验构建步态阶段与骨盆主动侧向运动之间的对应关系。基于这种关系,通过从骨盆的侧向运动估计步态阶段,可以在步态周期中自动确定发送到下肢肌肉的FES的时机。在用FES控制算法对模拟偏瘫中风幸存者进行实验后,验证了所提出的算法和步态康复系统是可行且有前景的。