Study on Neurofeedback System Based on Electroencephalogram Signals_Journal of Biomedical Engineering

Authors：

PUXianjie ^1,2 , LIUTiejun ¹ , WUQiang ¹ , ZHANGRui ¹ , XUPeng ¹ , LIKe ¹ , XIAYang ¹ ,  YAODezhong ¹

1. Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China;
2. College of Biomedical Engineering, Third Military Medical University, Chongqing 400030, China;

Corresponding author：

YAODezhong, Email: dyao@uestc.edu.cn

Keywords：

neurofeedback; electroencephalogram; feature extraction; brain-computer interface

DOI：

10.7507/1001-5515.20140168

Video：

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Neurofeedback, as an alternative treatment method of behavioral medicine, is a technique which translates the electroencephalogram (EEG) signals to styles as sounds or animation to help people understand their own physical status and learn to enhance or suppress certain EEG signals to regulate their own brain functions after several repeated trainings. This paper develops a neurofeedback system on the foundation of brain-computer interface technique. The EEG features are extracted through real-time signal process and then translated to feedback information. Two feedback screens are designed for relaxation training and attention training individually. The veracity and feasibility of the neurofeedback system are validated through system simulation and preliminary experiment.

Citation： PUXianjie, LIUTiejun, WUQiang, ZHANGRui, XUPeng, LIKe, XIAYang, YAODezhong. Study on Neurofeedback System Based on Electroencephalogram Signals. Journal of Biomedical Engineering, 2014, 31(4): 894-898. doi: 10.7507/1001-5515.20140168 Copy

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1. 郑延平. 生物反馈的临床实践[M]. 北京:高等教育出版社, 2003:1-33.
2. 施良方. 学习论[M]. 北京:人民教育出版社, 2001:39-49, 111-134.
3. EGNER T, STERMAN M B. Neurofeedback treatment of epilepsy: from basic rationale to practical application[J]. Expert Rev Neurother, 2006, 6(2):247-257.
4. LOFTHOUSE N, ARNOLD1 L E, HERSCH S, et al. A review of neurofeedback treatment for pediatric ADHD[J]. J Atten Disord, 2012, 16(5):351-372.
5. TRUDEAU D L, SOKHADZE T M, CANNON R L, et al. Introduction to quantitative EEG and neurofeedback[M]. 2nd Ed.New York:Academic Press, 2009:240-472.
6. ZOEFEL B, HUSTER R J, HERRMANN C S. Neurofeedback training of the upper alpha frequency band in EEG improves cognitive performance[J]. Neuroimage, 2011, 54(2): 1427-1431.
7. ROS T, MOSELEY M J,BLOOM O A,et al. Optimizing microsurgical skills with EEG neurofeedback[J]. BMC Neuroscience, 2009, 10:87.
8. SHINDO K, KAWASHIMA K, USHIBA J, et al. Effects of neurofeedback training with an electroencephalogram-based brain-computer interface for hand paralysis in patients with chronic stroke: a preliminary case series study[J]. J Rehabil Med, 2011, 43(10):951-957.
9. 彭绪勇. 基于脑电的脑-计算机接口在线系统研究[D]. 成都:电子科技大学, 2008.
10. DOPPELMAYR M, KLIMESCH W, PACHINGER T, et al. Individual differences in brain dynamics: important implications for the calculation of event-related band power[J]. Biol Cybern, 1998, 79(1):49-57.
11. 燕楠. 持续注意相关脑功能信息识别及其在ADHD生物反馈治疗中的应用[D]. 西安:西安交通大学, 2009.
12. 白露, 马慧, 黄宇霞, 等. 中国情绪图片系统的编制--在46名中国大学生中的试用[J].中国心理卫生杂志, 2005, 19(11):719-722.

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