Signal Detection,Processing and Challenges of Non-invasive Brain-Computer Interface Technology

摘要：

　　Non-invasive brain-computer interface(BCI)technology is becoming more and more popular in current BCI application study due to its safety,non-invasive and low cost.The main problem of non-invasive BCI technology is that the spatial resolution of signal is low and it is easy to be drowned by noise.Therefore,this paper reviews the key technologies and the existing challenges of non-invasive BCI technology from the aspect of signal detection and processing,and discusses its future application prospects.However,it is still a great challenge for non-invasive BCI technology to become the mainstream in the future.

关键词： Brain-computer interface Non-invasive BCI technology Signal detection Pattern recognition

作者: Xiaoyuan Li Feng Chen Yaohui Jia Xinyu Liu

作者单位: School of Electrical Engineering,Zhengzhou University,Zhengzhou 450001,China;Henan Key Laboratory of School of Electrical Engineering,Zhengzhou University,Zhengzhou 450001,China;School of Intelligent M China Shipping Heavy Industry 713 Research Institute,Zhengzhou 450015,China School of Intelligent Manufacturing,Huanghuai University,Zhumadian 463000,China;Henan Key Laboratory

会议类型: 国际会议

会议名称: 2019中国智能自动化大会(CIA,2019)

会议地点: 江苏镇江

会议语种:英文

页码: 60-67

在线出版日期: 2019-09-20（万方平台首次上网日期，不代表论文的发表时间）