FES到达的仿生控制

R. Davoodi, M. Hauschild, J. Lee, P. Montazemi, G. Loeb
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引用次数: 3

摘要

我们正在开发一种仿生控制器,以恢复bion辅助的四肢瘫痪患者的伸展运动。该控制器具有与中枢神经系统(CNS)相似的分层结构,模仿脊髓中的生物控制回路,并与患者剩余的自主运动相结合。为了证明所提出的控制策略的可行性,我们研究了其最关键的组成部分之一,即受试者产生足够的自愿指令信号来驱动瘫痪关节的功能性电刺激(FES)控制的能力。正常受试者在虚拟现实环境(VRE)中通过肩部运动驱动模拟的下臂到达手臂三维工作空间中的目标。初步结果表明,自主指令信号的类型和FES控制策略的类型对机器人到达任务的顺利完成、可达工作空间和学习率有显著影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Biomimetic control of FES reaching
We are developing a biomimetic controller to restore BION-assisted reaching movements to quadriplegic patients. The controller has a hierarchical structure similar to that of the central nervous system (CNS), mimics the biological control circuits in the spinal cord and integrates with the patient's residual voluntary movements. To demonstrate the feasibility of the proposed control strategy, we have examined one of its most critical components, i.e. the ability of subjects to produce adequate voluntary command signals to drive the functional electrical stimulation (FES) control of paralyzed joints. Normal subjects use their shoulder movements to drive a simulated lower arm in a virtual reality environment (VRE) to reach targets in 3D workspace of the arm. The preliminary results show that the type of the voluntary command signal and the type of FES control strategy have significant effect on the successful completion of the reaching tasks, the reachable workspace and the learning rate.
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