https://scholars.lib.ntu.edu.tw/handle/123456789/611562
標題: | P300-based Brain–Computer Interface with Latency Estimation Using ABC-based Interval Type-2 Fuzzy Logic System | 作者: | Kuo C.-H. Kuo Y.-C. Chou H.-C. Lin Y.-T. CHUNG-HSIEN KUO |
關鍵字: | Bioelectric potentials;Computer circuits;Evolutionary algorithms;Feature extraction;Fuzzy logic;Interface states;Optimization;Artificial bee colony algorithms;Information transfer rate;Interval type-2 fuzzy logic systems;Latency estimation;P300;Steady state visually evoked potentials;Support vector machine classifiers;Target and non targets;Brain computer interface | 公開日期: | 2017 | 卷: | 19 | 期: | 2 | 起(迄)頁: | 529-541 | 來源出版物: | International Journal of Fuzzy Systems | 摘要: | P300 is a brain–computer interface (BCI) modality which reflects brains’ processes in stimulus events. Visual stimuli are usually used to elicit event-related P300 components. However, depending on different subjects’ conditions and their current cerebral loads, P300 components occur at posterior to stimuli from 250 to 600?ms roughly. These subjects’ dependent variations affect the performance of BCI. Thus, an estimation model that estimated an appropriate interval for P300 feature extraction is discussed in this paper. An interval type-2 fuzzy logic system trained by artificial bee-colony algorithm was used to find the latency of elicited P300 with a certain range by means of steady-state visually evoked potential. A support vector machine classifier was adopted to classify extracted epochs into target and non-target stimuli. Seven subjects were involved in experiments. Results showed that the performance of information transfer rate was improved by 1.28?% on average if the proposed latency-estimation approach was introduced. ? 2016, Taiwan Fuzzy Systems Association and Springer-Verlag Berlin Heidelberg. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016807515&doi=10.1007%2fs40815-016-0205-x&partnerID=40&md5=6553088c1d2cd600220765568423aace https://scholars.lib.ntu.edu.tw/handle/123456789/611562 |
DOI: | 10.1007/s40815-016-0205-x |
顯示於: | 機械工程學系 |
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