Abstract
Portable brain-computer interfaces (BCIs) have become a hot topic. An easily worn system is preferred, which means not too much channels are needed in the system. Here, bipolar reference (BPR) is applied to calculate features of motor imagery in electroencephalogram (EEG). This method lust uses a few channels of signals. It reflects both amplitude and phase information in EEG. In this paper, fisher linear discriminant analysis (FLDA) is used as the classification method. Recognition accuracies of using BP method and common spatial pattern (CSP) filtering method with different numbers of channels are given. Variance analysis for the classification rates have shown that BP method performed well as CSP when using only a few channels.
| Original language | English |
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| Title of host publication | 2018 World Congress in Computer Science, Computer Engineering and Applied Computing, CSCE 2018 - Proceedings of the 2018 International Conference on Artificial Intelligence, ICAI 2018 |
| Editors | Hamid R. Arabnia, David de la Fuente, Elena B. Kozerenko, Jose A. Olivas, Fernando G. Tinetti |
| Publisher | CSREA Press |
| Pages | 472-475 |
| Number of pages | 4 |
| ISBN (Electronic) | 1601324804, 9781601324801 |
| Publication status | Published - 2018 |
| Externally published | Yes |
| Event | 2018 International Conference on Artificial Intelligence, ICAI 2018 at 2018 World Congress in Computer Science, Computer Engineering and Applied Computing, CSCE 2018 - Las Vegas, United States Duration: 30 Jul 2018 → 2 Aug 2018 |
Publication series
| Name | 2018 World Congress in Computer Science, Computer Engineering and Applied Computing, CSCE 2018 - Proceedings of the 2018 International Conference on Artificial Intelligence, ICAI 2018 |
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Conference
| Conference | 2018 International Conference on Artificial Intelligence, ICAI 2018 at 2018 World Congress in Computer Science, Computer Engineering and Applied Computing, CSCE 2018 |
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| Country/Territory | United States |
| City | Las Vegas |
| Period | 30/07/18 → 2/08/18 |
Keywords
- Bipolar reference
- Brain computer interface
- Common spatial pattern
- Fisher linear discriminant analysis
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Changsheng, L., Minyou, C., Li, Z., Jing, L., & Wenqian, L. (2018). A bipolar reference based BCI. In H. R. Arabnia, D. de la Fuente, E. B. Kozerenko, J. A. Olivas, & F. G. Tinetti (Eds.), 2018 World Congress in Computer Science, Computer Engineering and Applied Computing, CSCE 2018 - Proceedings of the 2018 International Conference on Artificial Intelligence, ICAI 2018 (pp. 472-475). (2018 World Congress in Computer Science, Computer Engineering and Applied Computing, CSCE 2018 - Proceedings of the 2018 International Conference on Artificial Intelligence, ICAI 2018). CSREA Press.