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Journal of Healthcare Engineering
Volume 2017, Article ID 6819056, 9 pages
Research Article

A Feasibility Study of SSVEP-Based Passive Training on an Ankle Rehabilitation Robot

1School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Luoyu Road 1037, Wuhan, China
2Department of Mechanical Engineering, University of Auckland, Auckland 1142, New Zealand
3School of Mechanical Engineering, School of Electronic and Electrical Engineering, University of Leeds, Leeds LS2 9JT, UK

Correspondence should be addressed to Guoli Zhu; moc.361@hw_uhzlg

Received 5 May 2017; Revised 5 July 2017; Accepted 1 August 2017; Published 17 September 2017

Academic Editor: Duo Wai-Chi Wong

Copyright © 2017 Xiangfeng Zeng 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.

Citations to this Article [3 citations]

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

  • Mingming Zhang, Xiangfeng Zeng, Guoli Zhu, Ping Li, Huaiqing Lu, and Sheng Q. Xie, “A feasibility study of robot-assisted ankle training triggered by combination of SSVEP recognition and motion characteristics,” IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM, vol. 2018-, pp. 1246–1251, 2018. View at Publisher · View at Google Scholar
  • Alan Floriano, Pablo F. Diez, and Teodiano Freire Bastos-Filho, “Evaluating the Influence of Chromatic and Luminance Stimuli on SSVEPs from Behind-the-Ears and Occipital Areas,” Sensors, vol. 18, no. 2, pp. 615, 2018. View at Publisher · View at Google Scholar
  • Xuebin Qin, Lin Zhang, Gang Wang, and Mei Wang, “A brain computer interface control system based on cloud platform for Minitype UAVs,” Proceedings of SPIE - The International Society for Optical Engineering, vol. 10835, 2018. View at Publisher · View at Google Scholar