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Applied Computational Intelligence and Soft Computing
Volume 2012 (2012), Article ID 525396, 6 pages
Research Article

Variance Entropy: A Method for Characterizing Perceptual Awareness of Visual Stimulus

School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA 19104, USA

Received 28 December 2011; Revised 22 March 2012; Accepted 23 March 2012

Academic Editor: Cheng-Hsiung Hsieh

Copyright © 2012 Meng Hu and Hualou Liang. 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.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • D. Alamedine, M. Khalil, and C. Marque, “Comparison of Different EHG Feature Selection Methods for the Detection of Preterm Labor,” Computational and Mathematical Methods in Medicine, vol. 2013, pp. 1–9, 2013. View at Publisher · View at Google Scholar
  • D. Alamedine, A. Diab, C. Muszynski, B. Karlsson, M. Khalil, and C. Marque, “Selection algorithm for parameters to characterize uterine EHG signals for the detection of preterm labor,” Signal, Image and Video Processing, 2014. View at Publisher · View at Google Scholar