Invasive and non-invasive methods of brain-computer interfaces

被引：0
|
作者：
Kawala, Aleksandra [1 ]
Khoma, Volodymyr [1 ,2 ]
Zmarzly, Dariusz [1 ]
Sovyn, Yaroslav [2 ]
机构：
[1] Politech Opolska, Inst Elektroenerget, PL-46078 Opole, Poland
[2] Lviv Polytech Natl Univ, InInst Computer Technol Automat & Metrol, UA-79013 Lvov, Ukraine
来源：
PRZEGLAD ELEKTROTECHNICZNY | 2008年 / 84卷 / 03期
关键词：
brain-computer interface; brain-machine interface; invasive BCI; non-invasive BCI; brain's activity signals;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In the paper the characteristics of invasive and non-invasive methods of brain-computer interfaces and their adaptations are presented. This field of science has greatly evolved recently. At the current level of researches there are a number of technical difficulties that limit further development of existing applications. It is foreseen to use those applications to help physically handicapped patients or just to control various kinds of machines.
引用
收藏
页码：134 / 136
页数：3
相关论文
共 50 条
  • [1] Non-Invasive Brain-Computer Interfaces: State of the Art and Trends
    Edelman, Bradley J.
    Zhang, Shuailei
    Schalk, Gerwin
    Brunner, Peter
    Mueller-Putz, Gernot
    Guan, Cuntai
    He, Bin
    IEEE REVIEWS IN BIOMEDICAL ENGINEERING, 2025, 18 : 26 - 49
  • [2] Optical Non-Invasive Brain-Computer Interface System
    Lebid, Solomiya
    2018 14TH INTERNATIONAL CONFERENCE ON ADVANCED TRENDS IN RADIOELECTRONICS, TELECOMMUNICATIONS AND COMPUTER ENGINEERING (TCSET), 2018, : 743 - 747
  • [3] Towards Effective Non-Invasive Brain-Computer Interfaces Dedicated to Gait Rehabilitation Systems
    Castermans, Thierry
    Duvinage, Matthieu
    Cheron, Guy
    Dutoit, Thierry
    BRAIN SCIENCES, 2014, 4 (01): : 1 - 48
  • [4] THE ROLE OF ATTENTION IN PREDICTING INDIVIDUAL SUCCESS OPERATING NON-INVASIVE BRAIN-COMPUTER INTERFACES
    Taylor, Brittany K.
    Forney, Elliott M.
    Gavin, William J.
    Anderson, Charles W.
    Davies, Patricia L.
    PSYCHOPHYSIOLOGY, 2013, 50 : S71 - S71
  • [5] An Investigation on Non-Invasive Brain-Computer Interfaces: Emotiv Epoc plus Neuroheadset and Its Effectiveness
    Faruk, Md Jobair Hossain
    Valero, Maria
    Shahriar, Hossain
    2021 IEEE 45TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE (COMPSAC 2021), 2021, : 580 - 589
  • [6] The perspectives of augmentative and alternative communication experts on the clinical integration of non-invasive brain-computer interfaces
    Pitt, Kevin M.
    McKelvey, Miechelle
    Weissling, Kristy
    BRAIN-COMPUTER INTERFACES, 2022, 9 (04) : 193 - 210
  • [7] A review of research on non-invasive brain-computer interface technology
    Liu, Bo
    Gao, Hongwei
    Jiang, Yueqiu
    Wu, Jiaxuan
    PROCEEDINGS OF 2023 4TH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL INTELLIGENCE FOR MEDICINE SCIENCE, ISAIMS 2023, 2023, : 887 - 891
  • [8] Enhancing Wireless Non-invasive Brain-Computer Interfaces with an Encoder/Decoder Machine Learning Model Pair
    Fanfan, Ernst R.
    Blankenship, Joe
    Chakravarty, Sumit
    Randolph, Adriane B.
    INFORMATION SYSTEMS AND NEUROSCIENCE, NEUROIS RETREAT 2022, 2022, 58 : 53 - 59
  • [9] Research advances in non-invasive brain-computer interface control strategies
    Cao H.
    Jung T.-P.
    Chen Y.
    Mei J.
    Li A.
    Xu M.
    Ming D.
    Shengwu Yixue Gongchengxue Zazhi/Journal of Biomedical Engineering, 2022, 39 (05): : 1033 - 1040
  • [10] Signal Detection, Processing and Challenges of Non-invasive Brain-Computer Interface Technology
    Li, Xiaoyuan
    Chen, Feng
    Jia, Yaohui
    Liu, Xinyu
    PROCEEDINGS OF 2019 CHINESE INTELLIGENT AUTOMATION CONFERENCE, 2020, 586 : 60 - 67
12345