|
|
|
篇目详细内容 |
|
【篇名】 |
EEG controlled neuromuscular electrical stimulation of the upper limb for stroke patients |
|
【刊名】 |
Frontiers of Mechanical Engineering (Formerly known as Frontiers of Mechanical Engineering in China) |
|
【刊名缩写】 |
Front. Mech. Eng |
|
【ISSN】 |
2095-0233 |
|
【EISSN】 |
2095-0241 |
|
【DOI】 |
10.1007/s11465-011-0207-1 |
|
【出版社】 |
Higher Education Press and Springer-Verlag Berlin
Heidelberg |
|
【出版年】 |
2011 |
|
【卷期】 |
6
卷1期 |
|
【页码】 |
71-81
页,共
11
页 |
|
【作者】 |
Hock Guan TAN;
Cheng Yap SHEE;
Keng He KONG;
Cuntai GUAN;
Wei Tech ANG;
|
|
【关键词】 |
brain computer interface; neuromuscular electrical stimulation; stroke; musculoskeletal modeling |
【摘要】 |
|
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 mu-rhythm, with the greatest attenuation. Aided by visual feedback, subjects then trained to regulate their mu-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. |
|
