Application of BCI-FES system on stroke rehabilitation

Shenglong Jiang, Long Chen, Zhongpeng Wang, Jiapeng Xu, Cheng Qi, Hongzhi Qi, Feng He, Dong Ming
{"title":"Application of BCI-FES system on stroke rehabilitation","authors":"Shenglong Jiang, Long Chen, Zhongpeng Wang, Jiapeng Xu, Cheng Qi, Hongzhi Qi, Feng He, Dong Ming","doi":"10.1109/NER.2015.7146823","DOIUrl":null,"url":null,"abstract":"Rehabilitation of motor impairment after stroke has an important medical value. However, the present stroke rehabilitation mainly are passive, its efficacy is limited. The BCI-FES system focused on the limit of passive stroke rehabilitation, combined with motor imagery (MI) and functional electrical stimulation (FES), through the pattern recognition of motor imagery mode of patients with EEG signal, generated FES signal. The BCI-FES system achieved the active rehabilitation of patients with mind-control, stimulated brain plasticity and improved rehabilitation efficacy. In this study, the BCI-FES system and clinical rehabilitation evaluation of post-stroke hemiplegia patients was investigated, and the rehabilitation efficacy showed, affected motor related cortex of patient subject was activated significantly, and motor function was further enhanced, by brain plasticity guidance of BCI-FES.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NER.2015.7146823","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

Abstract

Rehabilitation of motor impairment after stroke has an important medical value. However, the present stroke rehabilitation mainly are passive, its efficacy is limited. The BCI-FES system focused on the limit of passive stroke rehabilitation, combined with motor imagery (MI) and functional electrical stimulation (FES), through the pattern recognition of motor imagery mode of patients with EEG signal, generated FES signal. The BCI-FES system achieved the active rehabilitation of patients with mind-control, stimulated brain plasticity and improved rehabilitation efficacy. In this study, the BCI-FES system and clinical rehabilitation evaluation of post-stroke hemiplegia patients was investigated, and the rehabilitation efficacy showed, affected motor related cortex of patient subject was activated significantly, and motor function was further enhanced, by brain plasticity guidance of BCI-FES.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
BCI-FES系统在脑卒中康复中的应用
脑卒中后运动障碍的康复治疗具有重要的医学价值。然而,目前脑卒中康复主要是被动式的,其疗效有限。BCI-FES系统着眼于被动脑卒中康复的极限,结合运动想象(MI)和功能电刺激(FES),通过对患者脑电信号的运动想象模式进行模式识别,生成FES信号。BCI-FES系统实现了精神控制患者的主动康复,刺激了大脑可塑性,提高了康复疗效。本研究对脑卒中后偏瘫患者的BCI-FES系统及临床康复评价进行了研究,康复效果显示,BCI-FES的脑可塑性引导使患者被试受影响的运动相关皮层被显著激活,运动功能进一步增强。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
iNODE in-vivo testing for selective vagus nerve recording and stimulation Computational studies on urinary bladder smooth muscle: Modeling ion channels and their role in generating electrical activity Fast calibration of a thirteen-command BCI by simulating SSVEPs from trains of transient VEPs - towards time-domain SSVEP BCI paradigms A hybrid NMES-exoskeleton for real objects interaction Computationally efficient, configurable, causal, real-time phase detection applied to local field potential oscillations
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1