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《医学前沿(英文)》 2021年 第15卷 第5期 页码 740-749 doi: 10.1007/s11684-020-0794-5
关键词: brain–computer interface functional electrical stimulation electroencephalogram laterality coefficient chronic stroke
Bang-hua YANG,Liang-fei HE,Lin LIN,Qian WANG
《信息与电子工程前沿(英文)》 2015年 第16卷 第6期 页码 486-496 doi: 10.1631/FITEE.1400299
关键词: Ocular artifacts Electroencephalogram (EEG) Electrooculogram (EOG) Brain-computer interface (BCI) Spatial constraint independent component analysis based recursive least squares (SCICA-RLS)
面向脑机接口基于改进的共同空间模式方法的单次运动想象脑电分类 Research Articles
Zhi-chuan TANG, Chao LI, Jian-feng WU, Peng-cheng LIU, Shi-wei CHENG
《信息与电子工程前沿(英文)》 2019年 第20卷 第8期 页码 1087-1098 doi: 10.1631/FITEE.1800083
基于脑电图中文拼音输入系统的脑机接口综述 None
Ming-hui SHI, Chang-le ZHOU, Jun XIE, Shao-zi LI, Qing-yang HONG, Min JIANG, Fei CHAO, Wei-feng REN, Xiang-qian LIU, Da-jun ZHOU, Tian-yu YANG
《信息与电子工程前沿(英文)》 2018年 第19卷 第3期 页码 423-436 doi: 10.1631/FITEE.1601509
一种面向机器情感智能的人格引导型情感脑机接口 Research Article
李少杰,李伟,邢泽健,袁文杰,韦香玉,张晓炜,胡斌
《信息与电子工程前沿(英文)》 2022年 第23卷 第8期 页码 1158-1173 doi: 10.1631/FITEE.2100489
关键词: 脑电图;情感识别;注意力机制;人格特征
EEG controlled neuromuscular electrical stimulation of the upper limb for stroke patients
Hock Guan TAN, Cheng Yap SHEE, Keng He KONG, Cuntai GUAN, Wei Tech ANG
《机械工程前沿(英文)》 2011年 第6卷 第1期 页码 71-81 doi: 10.1007/s11465-011-0207-1
This paper describes the Brain Computer Interface (BCI) system and the experiments to allow post-acute (<3 months) stroke patients to use electroencephalogram (EEG) to trigger neuromuscular electrical stimulation (NMES)-assisted extension of the wrist/fingers, which are essential pre-requisites for useful hand function. EEG was recorded while subjects performed motor imagery of their paretic limb, and then analyzed to determine the optimal frequency range within the -rhythm, with the greatest attenuation. Aided by visual feedback, subjects then trained to regulate their -rhythm EEG to operate the BCI to trigger NMES of the wrist/finger. 6 post-acute stroke patients successfully completed the training, with 4 able to learn to control and use the BCI to initiate NMES. This result is consistent with the reported BCI literacy rate of healthy subjects. Thereafter, without the loss of generality, the controller of the NMES is developed and is based on a model of the upper limb muscle (biceps/triceps) groups to determine the intensity of NMES required to flex or extend the forearm by a specific angle. The muscle model is based on a phenomenological approach, with parameters that are easily measured and conveniently implemented.
关键词: brain computer interface neuromuscular electrical stimulation stroke musculoskeletal modeling
标题 作者 时间 类型 操作
EEG-controlled functional electrical stimulation rehabilitation for chronic stroke: system design and
期刊论文
Fast removal of ocular artifacts from electroencephalogram signals using spatial constraint independent
Bang-hua YANG,Liang-fei HE,Lin LIN,Qian WANG
期刊论文
面向脑机接口基于改进的共同空间模式方法的单次运动想象脑电分类
Zhi-chuan TANG, Chao LI, Jian-feng WU, Peng-cheng LIU, Shi-wei CHENG
期刊论文
基于脑电图中文拼音输入系统的脑机接口综述
Ming-hui SHI, Chang-le ZHOU, Jun XIE, Shao-zi LI, Qing-yang HONG, Min JIANG, Fei CHAO, Wei-feng REN, Xiang-qian LIU, Da-jun ZHOU, Tian-yu YANG
期刊论文