Title :
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
fDate :
Aug. 31 2010-Sept. 4 2010
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;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5627378
