Facilitating motor imagery-based brain–computer interface for stroke patients using passive movement-Reference-Cited by-同舟云学术

Facilitating motor imagery-based brain–computer interface for stroke patients using passive movement

Published:2016-03-04 Issue:11 Volume:28 Page:3259-3272
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Arvaneh Mahnaz,Guan Cuntai,Ang Kai Keng,Ward Tomas E.,Chua Karen S. G.,Kuah Christopher Wee Keong,Ephraim Joseph Gopal Joseph,Phua Kok Soon,Wang Chuanchu

Funder

Science and Engineering Research Council of the Agency for Science, Technology and Research, Singapore

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-016-2234-7.pdf

Reference40 articles.

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3. Ahangi A, Karamnejad M, Mohammadi N, Ebrahimpour R, Bagheri N (2013) Multiple classifier system for EEG signal classification with application to brain–computer interfaces. Neural Comput Appl 23(5):1319–1327

4. Hu S, Tian Q, Cao Y, Zhang J, Kong W (2012) Motor imagery classification based on joint regression model and spectral power. Neural Comput Appl 21(7):1–6. doi: 10.1007/s00521-012-1244-3

5. Ang KK, Guan C, Chua KSG, Ang TB, Kuah CWK, Wang C, Phua KS, Chin ZY, Zhang H (2011) A large clinical study on the ability of stroke patients to use EEG-based motor imagery brain–computer interface. Clin EEG Neurosci 42:253–258

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