Suppr超能文献

基于骨盆支撑机器人的功能性电刺激用于中风后偏瘫患者的步态康复

Functional electrical stimulation based on a pelvis support robot for gait rehabilitation of hemiplegic patients after stroke.

作者信息

Ye Jing, Nakashima Yasutaka, Zhang Bo, Kobayashi Yo, Fujie Masakatsu G

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:3098-101. doi: 10.1109/EMBC.2014.6944278.

Abstract

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.

摘要

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。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验