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The Scientific World Journal
Volume 2014, Article ID 419308, 10 pages
http://dx.doi.org/10.1155/2014/419308
Research Article

Dynamic Principal Component Analysis with Nonoverlapping Moving Window and Its Applications to Epileptic EEG Classification

1Department of Global Management Studies, Ted Rogers School of Management Studies, Ryerson University, 350 Victoria Street, Toronto, ON, Canada M5B 2K3
2Department of Electrical and Computer Engineering, Ryerson University, 350 Victoria Street, Toronto, ON, Canada M5B 2K3

Received 28 August 2013; Accepted 24 October 2013; Published 16 January 2014

Academic Editors: R. Cui and N. Kawahara

Copyright © 2014 Shengkun Xie and Sridhar Krishnan. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Shengkun Xie and Sridhar Krishnan, “Dynamic Principal Component Analysis with Nonoverlapping Moving Window and Its Applications to Epileptic EEG Classification,” The Scientific World Journal, vol. 2014, Article ID 419308, 10 pages, 2014. https://doi.org/10.1155/2014/419308.