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The Scientific World Journal
Volume 2014, Article ID 295070, 11 pages
http://dx.doi.org/10.1155/2014/295070
Research Article

Detection of Burst Suppression Patterns in EEG Using Recurrence Rate

1Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
2State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
3Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing 100875, China
4Institute of Information and Science Engineering, Yanshan University, Qinhuangdao 066004, China
5Department of Anesthesia, Waikato Hospital, Hamilton, New Zealand

Received 21 January 2014; Accepted 20 February 2014; Published 17 April 2014

Academic Editors: H.-K. Lam, J. Li, G. Ouyang, and T. Stathaki

Copyright © 2014 Zhenhu Liang et al. 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.

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