收藏切换
Hot topics review of brain-computer interface in 2019-2020
收藏切换
PDF
Science & Technology Review | 2021, 39(19) : 56 - 65
Less
收藏切换
Science & Technology Review | 2021, 39(19): 56-65
Reviews
Hot topics review of brain-computer interface in 2019-2020
Full
CHEN Xiaogang1, YANG Chen2, CHEN Jingjing3, GAO Xiaorong3
Affiliations
    1. Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300192, China;
    2. School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China;
    3. Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China
Published: 2021-10-13 doi: 10.3981/j.issn.1000-7857.2021.19.007
Outline
收藏切换
Brain-computer interface (BCI) is designed to provide rich and powerful command signals for assistive devices by decoding user's intention directly from brain signals in a real-time way. Recently, both theoretic and practical aspects of BCI technology have rapidly developed and become increasingly mature. More application scenarios of BCI technology have been demonstrated as well. This review summarizes the important achievements and events in hardware, algorithm, paradigm, and application in the BCI field in 2019-2020 and discusses its development trend.
brain-computer interface  /  application system  /  key technology
CHEN Xiaogang, YANG Chen, CHEN Jingjing, GAO Xiaorong. Hot topics review of brain-computer interface in 2019-2020[J]. Science & Technology Review, 2021 , 39 (19) : 56 -65 . DOI: 10.3981/j.issn.1000-7857.2021.19.007
Year 2021 volume 39 Issue 19
PDF
1017
174
Cite this Article
BibTeX
Article Info
doi: 10.3981/j.issn.1000-7857.2021.19.007
  • Receive Date:2020-06-08
  • Online Date:2021-11-08
  • Published:2021-10-13
Article Data
Affiliations
History
  • Received:2020-06-08
  • Revised:2020-06-23
Affiliations
References
Share
https://castjournals.cast.org.cn/joweb/kjdb/EN/10.3981/j.issn.1000-7857.2021.19.007
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT