A novel EMD-based Common Spatial Pattern for motor imagery brain-computer interface
文献类型：会议论文
| 作者 | Wei He; Pengfei Wei; Liping Wang; Yuexian Zou |
| 出版日期 | 2012 |
| 会议名称 | Biomedical and Health Informatics (BHI), 2012 IEEE-EMBS International Conference on |
| 会议地点 | 中国 |
| 英文摘要 | Common Spatial Pattern (CSP) algorithm is a commonly used effective feature extraction method in motor imagery (MI) electroencephalogram (EEG) based brain computer interface (BCI). The motor imagery patterns extracted by CSP are associated with variations in subject-specific frequency bands power. Therefore, optimizing frequency band carrying MI intention is required by the CSP method. However, the frequency band is usually divided manually and evaluated which does make use of the EEG signal property and also with low efficiency. In this paper, we propose a novel Empirical Mode Decomposition (EMD) based CSP method to realize the data-related and adaptive frequency band selection. Specifically, the intrinsic mode functions (IMFs) decomposed from the EMD and the amplitude modulated signal by instantaneous amplitude (IA) calculated from Hilbert Transform have been fully explored and employed. Moreover, the intensive experiments have been conducted to evaluate the proposed method. From the experiment results, we observed that the EMD based CSP method enhances the classification accuracy in BCI competition IV dataset I for all subjects and a paired t-test shows a significant difference level. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/4082]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | 2012 |
| 推荐引用方式 GB/T 7714 | Wei He,Pengfei Wei,Liping Wang,et al. A novel EMD-based Common Spatial Pattern for motor imagery brain-computer interface[C]. 见:Biomedical and Health Informatics (BHI), 2012 IEEE-EMBS International Conference on. 中国. |
入库方式： OAI收割
来源：深圳先进技术研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。