An inter-subject model to reduce the calibration time for motion imagination-based brain-computer interface
文献类型：期刊论文
| 作者 | Han JD(韩建达)1 ; Xu WL(徐卫良)3; Zhao YW(赵忆文)1; Chu YQ(褚亚奇)1,2; Zhao XG(赵新刚)1; Zou YJ(邹宜君)2
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| 刊名 | Medical and Biological Engineering and Computing
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| 出版日期 | 2019 |
| 卷号 | 57期号:4页码:939-952 |
| 关键词 | Brain-computer interface (BCI) Electroencephalogram (EEG) Machine learning Movement imagination Common spatial pattern Inter-subject model |
| ISSN号 | 0140-0118 |
| 产权排序 | 1 |
| 英文摘要 | A major factor blocking the practical application of brain-computer interfaces (BCI) is the long calibration time. To obtain enough training trials, participants must spend a long time in the calibration stage. In this paper, we propose a new framework to reduce the calibration time through knowledge transferred from the electroencephalogram (EEG) of other subjects. We trained the motor recognition model for the target subject using both the target’s EEG signal and the EEG signals of other subjects. To reduce the individual variation of different datasets, we proposed two data mapping methods. These two methods separately diminished the variation caused by dissimilarities in the brain activation region and the strength of the brain activation in different subjects. After these data mapping stages, we adopted an ensemble method to aggregate the EEG signals from all subjects into a final model. We compared our method with other methods that reduce the calibration time. The results showed that our method achieves a satisfactory recognition accuracy using very few training trials (32 samples). Compared with existing methods using few training trials, our method achieved much greater accuracy. [Figure not available: see fulltext. |
| 语种 | 英语 |
| WOS记录号 | WOS:000463717500015 |
| 源URL | [http://ir.sia.cn/handle/173321/23678]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 通讯作者 | Zhao XG(赵新刚) |
| 作者单位 | 1.Key Laboratory of Networked Control System, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 2.University of Chinese Academy of Sciences, Beijing 100049, China 3.Department of Mechanical Engineering, University of Auckland, Auckland, New Zealand |
| 推荐引用方式 GB/T 7714 | Han JD,Xu WL,Zhao YW,et al. An inter-subject model to reduce the calibration time for motion imagination-based brain-computer interface[J]. Medical and Biological Engineering and Computing,2019,57(4):939-952. |
| APA | Han JD,Xu WL,Zhao YW,Chu YQ,Zhao XG,&Zou YJ.(2019).An inter-subject model to reduce the calibration time for motion imagination-based brain-computer interface.Medical and Biological Engineering and Computing,57(4),939-952. |
| MLA | Han JD,et al."An inter-subject model to reduce the calibration time for motion imagination-based brain-computer interface".Medical and Biological Engineering and Computing 57.4(2019):939-952. |
入库方式： OAI收割
来源：沈阳自动化研究所
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