Name
Title | ||
|---|---|---|
Dual-Tree Complex Wavelet Transform-Based Feature Extraction For Brain Computer Interface |
Abstract | ||
|---|---|---|
The dual-tree complex wavelet transform (DTCWT) is good at time-frequency analysis and has shift-invariance property. In this paper, we propose a feature extraction method based on DTCWT, which employs the DTCWT to reconstruct the brain computer interface (BCI) signals in each level and overcome the frequency aliasing in wavelet transform. The experimental dataset come from the BCI competition, the mutual information and classify accuracy are used as evaluation criteria. The results show that the DTCWT-based feature extraction method improves the mutual information and accuracy compared to others. |
Year | Venue | Keywords |
|---|---|---|
2015 | 2015 12TH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (FSKD) | Mutual information, Brain Computer Interface(BCI), Band Power, Motor Imagery, Dual-Tree Complex Wavelet Transform (DTCWT) |
Field | DocType | Citations |
Computer vision,Pattern recognition,Computer science,Feature extraction,Continuous wavelet transform,Aliasing,Mutual information,Artificial intelligence,Complex wavelet transform,Wavelet packet decomposition,Wavelet transform,Wavelet | Conference | 0 |
PageRank | References | Authors |
0.34 | 10 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ping Tan | 1 | 1739 | 86.98 |
| Guanzheng Tan | 2 | 49 | 11.80 |
| Zixing Cai | 3 | 1525 | 66.96 |