Real-time embedded EEG-based brain-computer interface

Li-Wei Ko*, I. Ling Tsai, Fu Shu Yang, Jen Feng Chung, Shao Wei Lu, Tzyy Ping Jung, Chin-Teng Lin


研究成果: Conference contribution同行評審

5 引文 斯高帕斯(Scopus)


Online artifact rejection, feature extraction, and pattern recognition are essential to advance the Brain Computer Interface (BCI) technology so as to be practical for real-world applications. The goals of BCI system should be a small size, rugged, lightweight, and have low power consumption to meet the requirements of wearability, portability, and durability. This study proposes and implements a moving-windowed Independent Component Analysis (ICA) on a battery-powered, miniature, embedded BCI. This study also tests the embedded BCI on simulated and real EEG signals. Experimental results indicated that the efficacy of the online ICA decomposition is comparable with that of the offline version of the same algorithm, suggesting the feasibility of ICA for online analysis of EEG in a BCI. To demonstrate the feasibility of the wearable embedded BCI, this study also implements an online spectral analysis to the resultant component activations to continuously estimate subject's task performance in near real time.

主出版物標題Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers
版本PART 2
出版狀態Published - 21 九月 2009
事件15th International Conference on Neuro-Information Processing, ICONIP 2008 - Auckland, New Zealand
持續時間: 25 十一月 200828 十一月 2008


名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
號碼PART 2
5507 LNCS


Conference15th International Conference on Neuro-Information Processing, ICONIP 2008
國家/地區New Zealand


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