A hybrid brain computer interface system based on the neurophysiological protocol and brain-actuated switch for wheelchair control-Reference-Cited by-同舟云学术

A hybrid brain computer interface system based on the neurophysiological protocol and brain-actuated switch for wheelchair control

Published:2014-05 Issue: Volume:229 Page:33-43
ISSN:0165-0270
Container-title:Journal of Neuroscience Methods
language:en
Short-container-title:Journal of Neuroscience Methods

Author:

Cao Lei,Li Jie,Ji Hongfei,Jiang Changjun^ORCID

Funder

Fundamental Research Funds for National Basic Research Program of China (Grant No. 2010CB328101), International cooperation program (2012DFG11580), China Postdoctoral Science Foundation (2013M541541), Central Universities

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Neuroscience

Reference37 articles.

1. A hybrid ERD/SSVEP BCI for continuous simultaneous two dimensional cursor control;Allison;J Neurosci Meth,2012

2. Toward a hybrid brain-computer interface based on imagined movement and visual attention;Allison;J Neural Eng,2010

3. Optimizing spatial filters for robust EEG single-trial analysis;Blankertz;IEEE Signal Process Magazine,2008

4. Brain control of a smart wheelchair.;Blatt,2008

5. Improved signal processing approaches in an offline simulation of a hybrid brain-computer interface;Brunner;J Neurosci Meth,2010

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