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Journal of Engineering
Volume 2018, Article ID 1350692, 10 pages
https://doi.org/10.1155/2018/1350692
Research Article

Deep Learning Approach for Automatic Classification of Ocular and Cardiac Artifacts in MEG Data

1Information Technology Department, Palestine Ahliya University College, Bethlehem, West Bank, State of Palestine
2Institute of Neurosciences and Medicine, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany

Correspondence should be addressed to Jürgen Dammers; ed.hcileuj-zf@sremmad.j

Received 9 November 2017; Revised 8 March 2018; Accepted 29 March 2018; Published 2 May 2018

Academic Editor: Yudong Zhang

Copyright © 2018 Ahmad Hasasneh 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

Ahmad Hasasneh, Nikolas Kampel, Praveen Sripad, N. Jon Shah, and Jürgen Dammers, “Deep Learning Approach for Automatic Classification of Ocular and Cardiac Artifacts in MEG Data,” Journal of Engineering, vol. 2018, Article ID 1350692, 10 pages, 2018. https://doi.org/10.1155/2018/1350692.