Characteristics of motor imagery based EEG-brain computer interface using combined cue and neuro-feedback

Author

Lee, Youngbum ; Kim, Jinkwon ; Lee, Sangjoon ; Lee, Myoungho

Author_Institution

Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea

fYear

2010

fDate

Aug. 31 2010-Sept. 4 2010

Firstpage

4238

Lastpage

4241

Abstract

In this paper, we evaluated BCI algorithm using CSP for finding out about realistic possibility of BCI based on CSP. BCI algorithm that was comprised of CSP and least square linear classifier was evaluated in 10 persons. According to the result of the experiment, the effect of combined cue and neurofeedback is evaluated. In case of combined cue, the correlation of combined cue and visual cue is higher than other conditions. And in case of neurofeedback, some subject is exceptional but general trend shows the performance improvement by neurofeedback.

Keywords

brain-computer interfaces; electroencephalography; feedback; medical signal processing; signal classification; BCI algorithm; CSP; EEG; brain computer interface; combined cue; least square linear classifier; motor imagery; neurofeedback; visual cue; Accuracy; Classification algorithms; Electroencephalography; Neurofeedback; Spatial filters; Training; Visualization; Algorithms; Electroencephalography; Feedback, Physiological; Humans; Man-Machine Systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE

Conference_Location

Buenos Aires

ISSN

1557-170X

Print_ISBN

978-1-4244-4123-5

Type

conf

DOI

10.1109/IEMBS.2010.5627378

Filename

5627378