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Complexity
Volume 2018 (2018), Article ID 8915079, 12 pages
https://doi.org/10.1155/2018/8915079
Research Article

Complexity Measures for Quantifying Changes in Electroencephalogram in Alzheimer’s Disease

Signal Processing and Multimedia Communication (SPMC) Research Group, Faculty of Science and Engineering, School of Computing, Electronics, and Mathematics, University of Plymouth, Plymouth, UK

Correspondence should be addressed to Ali H. Husseen Al-Nuaimi; ku.ca.htuomylp@imiaun-la.ila

Received 15 September 2017; Revised 26 December 2017; Accepted 4 February 2018; Published 13 March 2018

Academic Editor: Hugo Leonardo Rufiner

Copyright © 2018 Ali H. Husseen Al-Nuaimi 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.

How to Cite this Article

Ali H. Husseen Al-Nuaimi, Emmanuel Jammeh, Lingfen Sun, and Emmanuel Ifeachor, “Complexity Measures for Quantifying Changes in Electroencephalogram in Alzheimer’s Disease,” Complexity, vol. 2018, Article ID 8915079, 12 pages, 2018. doi:10.1155/2018/8915079