Motor Imagery Data Classification for BCI Application Using Wavelet Packet Feature Extraction-Reference-Cited by-同舟云学术

Motor Imagery Data Classification for BCI Application Using Wavelet Packet Feature Extraction

Published:2014 Issue: Volume: Page:519-526
ISSN:0302-9743
Container-title:Neural Information Processing
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Author:

Hettiarachchi Imali Thanuja,Nguyen Thanh Thi,Nahavandi Saeid

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-12643-2_63

Reference9 articles.

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2. Pfurtscheller, G., Lopes da Silva, F.H.: Event-related EEG/MEG synchronization and desynchronization:basic principles. Clin. Neurophysiol. 110, 1842–1857 (1999)

3. Pfurtscheller, G., Neuper, C., Flotzinger, D., Pregenzer, M.: EEG-based discrimination between imagination of right and left hand movement. Electroenceph. Clin. Neurophysiol. 10, 642–651 (1997)

4. Schlöegl, A., Lugger, K., Pfurtscheller, G.: Using Adaptive Autoregressive Parameters for a Brain-Computer-Interface Experiment. In: Proceedings of the 19th Annual International Conference if the IEEE Engineering in Medicine and Biology Society, vol. 19, pp. 1533–1535 (1997)

5. Ting, W., Guo-Zheng, Y., Bang-Hua, Y., Hong, S.: EEG feature extraction based on wavelet packet decomposition for brain computer interface. Measurement 41, 618–625 (2008)

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