Table of Contents Author Guidelines Submit a Manuscript
Journal of Healthcare Engineering
Volume 2017, Article ID 3035606, 7 pages
https://doi.org/10.1155/2017/3035606
Research Article

Epileptic MEG Spike Detection Using Statistical Features and Genetic Programming with KNN

1KACST, Riyadh, Saudi Arabia
2KACST-TIC in Radio Frequency and Photonics for the e-Society (RFTONICS), Electrical Engineering Department, King Saud University, Riyadh, Saudi Arabia
3King Fahad Medical City, Riyadh, Saudi Arabia

Correspondence should be addressed to Turky N. Alotaiby; as.ude.tscak@ybiatot

Received 18 May 2017; Revised 6 August 2017; Accepted 13 September 2017; Published 1 October 2017

Academic Editor: Zhongwei Jiang

Copyright © 2017 Turky N. Alotaiby 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

Turky N. Alotaiby, Saud R. Alrshoud, Saleh A. Alshebeili, Majed H. Alhumaid, and Waleed M. Alsabhan, “Epileptic MEG Spike Detection Using Statistical Features and Genetic Programming with KNN,” Journal of Healthcare Engineering, vol. 2017, Article ID 3035606, 7 pages, 2017. https://doi.org/10.1155/2017/3035606.