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Computational and Mathematical Methods in Medicine
Volume 2018, Article ID 9476432, 14 pages
https://doi.org/10.1155/2018/9476432
Research Article

An Adaptive Calibration Framework for mVEP-Based Brain-Computer Interface

1Key Laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
2Department of Computer Science and Engineering, Henan Institute of Engineering, Zhengzhou 451191, China
3Center for Information in Biomedicine, University of Electronic Science and Technology of China, Chengdu 610054, China
4School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang 621010, China

Correspondence should be addressed to Yangsong Zhang; moc.liamg@ymedacasygnahz and Peng Xu; nc.ude.ctseu@gnepux

Received 29 July 2017; Revised 10 January 2018; Accepted 24 January 2018; Published 26 February 2018

Academic Editor: Giancarlo Ferrigno

Copyright © 2018 Teng Ma 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

Teng Ma, Fali Li, Peiyang Li, Dezhong Yao, Yangsong Zhang, and Peng Xu, “An Adaptive Calibration Framework for mVEP-Based Brain-Computer Interface,” Computational and Mathematical Methods in Medicine, vol. 2018, Article ID 9476432, 14 pages, 2018. https://doi.org/10.1155/2018/9476432.