標題: | Independent Component Ensemble of EEG for Brain-Computer Interface |
作者: | Chuang, Chun-Hsiang Ko, Li-Wei Lin, Yuan-Pin Jung, Tzyy-Ping Lin, Chin-Teng 交大名義發表 生物科技學系 電機資訊學士班 腦科學研究中心 National Chiao Tung University Department of Biological Science and Technology Undergraduate Honors Program of Electrical Engineering and Computer Science Brain Research Center |
關鍵字: | Brain-computer interface (BCI);independent component analysis (ICA);multiple classifier system |
公開日期: | 1-三月-2014 |
摘要: | Recently, successful applications of independent component analysis (ICA) to electroencephalographic (EEG) signals have yielded tremendous insights into brain processes that underlie human cognition. Many studies have further established the feasibility of using independent processes to elucidate human cognitive states. However, various technical problems arise in the building of an online brain-computer interface (BCI). These include the lack of an automatic procedure for selecting independent components of interest (ICi) and the potential risk of not obtaining a desired ICi. Therefore, this study proposes an ICi-ensemble method that uses multiple classifiers with ICA processing to improve upon existing algorithms. The mechanisms that are used in this ensemble system include: 1) automatic ICi selection; 2) extraction of features of the resultant ICi; 3) the construction of parallel pipelines for effectively training multiple classifiers; and a 4) simple process that combines the multiple decisions. The proposed ICi-ensemble is demonstrated in a typical BCI application, which is the monitoring of participants\' cognitive states in a realistic sustained-attention driving task. The results reveal that the proposed ICi-ensemble outperformed the previous method using a single ICi with (91.6% versus 84.3%) in the cognitive state classification. Additionally, the proposed ICi-ensemble method that characterizes the EEG dynamics of multiple brain areas favors the application of BCI in natural environments. |
URI: | http://dx.doi.org/10.1109/TNSRE.2013.2293139 http://hdl.handle.net/11536/25250 |
ISSN: | 1534-4320 |
DOI: | 10.1109/TNSRE.2013.2293139 |
期刊: | IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING |
Volume: | 22 |
Issue: | 2 |
起始頁: | 230 |
結束頁: | 238 |
顯示於類別: | 期刊論文 |