1School of Innovation and Entrepreneurship, Sanjiang University, Nanjing 210012, China; 2Brain Medical Technology Co.Ltd of Jiangsu, Nantong 226002, Jiangsu, China; 3School of Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, Hebei, China; 4School of Institute of Life Sciences, Southeast University, Nanjing 210009, China; 5Nanjing Vivhee Medical Technology Co. Ltd., NanJing 210012, China
吴正平, 魏欢, 赵靖, 杨翔宇, 仇凯. 基于SSVEP的无线脑-机接口系统研究与实现[J]. 中国生物医学工程学报, 2019, 38(1): 120-124.
Wu Zhengping, Wei Huan, Zhao Jing, YangXiangyu, Qiu Kai. Research and Implementation of Wireless Brain-Computer Interface System Based on SSVEP. Chinese Journal of Biomedical Engineering, 2019, 38(1): 120-124.
[1] Tsuru K, Miura H, Matsui D. A new stimulation for steady-state visually evokedpotentials based brain-computer interface usingsemi-transmissive patterns with smartglasses[C]// 2015 International Conference on Cyberworlds (CW). Visby: IEEE, 2015: 165-168. [2] Hsu HT, Lee IH, Tsai HT, et al. Evaluate the feasibility of using frontal SSVEP to implement anSSVEP-based BCI in young, elderly and ALSgroups[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2016, 24(5): 603-615. [3] Yin Erwei, Zhou Zongtan, Jiang Jun, et al. A dynamically optimized SSVEP brain-computer interface (BCI) speller[J]. IEEE Transactions on Biomedical Engineering, 2015, 62(6): 1447-1456. [4] Lopez MA, Pomares H, Prieto A, et al. Signal processing and perceptrons in an auditory based brain-computer interface[C]// Eighth International Conference on Hybrid Intelligent Systems. Barcelona: IEEE, 2008: 781-786. [5] Pfurtscheller G, Solis-escalante T, Ortner R, et al. Self-paced operation of an SSVEP-Based orthosis with and without an imagery-based “brain switch”: A feasibility study towards a hybrid BCI[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2010, 18(4): 409-414. [6] Itai A, Sakibara T. The relationship between a location of visual stimulus and SSVEP[C]// 2015 15th International Symposium on Communications and Information Technologies (ISCIT). Nara: IEEE, 2015: 145-148. [7] Wang Haiqiang, Zhang Yu, Waytowich NR, et al. Discriminative feature extraction via multivariate linear regression for SSVEP-based BCI[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2016, 24(5): 532-541. [8] Gao Xiaorong, Xu Dingfeng et al. A BCI-based environmental controller for the motion-disabled[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2003, 11(2): 137-140. [9] Muller SMT, Diez PF, Bastos-filho TF, et al. Robotic wheelchair commanded by people with disabilities using low/high-frequency ssvep-based BCI[C]// World Congress on Medical Physics and Biomedical Engineering. Toronto: Springer International Publishing, 2015: 1177-1180. [10] 支丹阳, 杜秀兰, 赵靖,等. 基于便携式脑电信号采集器的脑-机器人交互系统[J]. 电子测量与仪器学报, 2016,30(5):649-701. [11] Ng KB, Bradley AP, Cunnington R. Effect of competing stimuli on SSVEP-based BCI[J]. IEEE Transactions on Engineering in Medicine and Biology Society, 2011, 8(2): 6307-6310. [12] Tello R, Valadao C, Muller S, et al. Performance improvements for navigation of a robotic wheelchair based on SSVEP-BCI[C]// XII SBAI-Simpósio Brasileiro de Automaçao Inteligente. Natal: SABI, 2015. [13] Muller-putz GR and Pfurtscheller G. Control of an electrical prosthesis with an SSVEP-based BCI[J]. IEEE Transactions on Biomedical Engineering, 2008, 55(1): 361-364. [14] Hwang HJ, Lim JH, Jung YJ, et al. Development of an SSVEP-based BCI spelling system adopting a QWERTY-style LED keyboard[J]. Journal of Neuroscience Methods, 2012, 208(1): 59-65. [15] Zhang Yu, Zhou Guoxu, Jin Jing, et al. L1-regularized multiway canonical correlation analysis for SSVEP-based BCI[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2013, 21(6): 887-896.
