Signal processing algorithms for motor imagery brain-computer interface:State of the art

被引：3
|
作者：
Hong, Jie [1 ]
Qin, Xiansheng [1 ]
Li, Jing [1 ]
Niu, Junlong [1 ]
Wang, Wenjie [1 ]
机构：
[1] Northwestern Polytech Univ, Sch Mech Engn, Xian, Shaanxi, Peoples R China
来源：
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2018年 / 35卷 / 06期
关键词：
Motor imagery brain-computer interface (MI-BCI); signal processing algorithms; pre-processing; feature extraction; classification; EEG SIGNALS; CLASSIFICATION; FEEDBACK; PERFORMANCE; MOVEMENTS; CALIBRATION; PATTERNS; FEATURES; TASKS; BCIS;
D O I：
10.3233/JIFS-181309
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Over the past two decades, motor imagery brain-computer interface (MI-BCI) system has been extensively developed. In this system signal processing algorithms are critical to robust operation. In BCI community, however, there is no comprehensive review of the recent development of signal processing algorithms. Through analyzing the latest papers, signal processing algorithms of pre-processing, feature extraction, feature selection, and classification components are discussed in detail. Besides, post-processing and other existing problems are mentioned. The following key issues are addressed: (1) which components are the key of signal processing; (2) which signal processing algorithms are frequently used in each component; (3) which signal processing algorithms attract more attention. This information can be used as reference and guidance for further research.
引用
收藏
页码：6405 / 6419
页数：15
相关论文
共 50 条
  • [41] Execution, assessment and improvement methods of motor imagery for brain-computer interface
    Tian G.
    Chen J.
    Ding P.
    Gong A.
    Wang F.
    Luo J.
    Dong Y.
    Zhao L.
    Dang C.
    Fu Y.
    Shengwu Yixue Gongchengxue Zazhi/Journal of Biomedical Engineering, 2021, 38 (03): : 434 - 446
  • [42] A Neurofeedback training paradigm for motor imagery based Brain-Computer Interface
    Xia, Bin
    Zhang, Qingmei
    Xie, Hong
    Li, Jie
    2012 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2012,
  • [43] MOTOR IMAGERY SIGNAL CLASSIFICATION FOR BRAIN-COMPUTER INTERFACE USING RideNN WITH HOLO-ENTROPY FEATURES
    Wankhade, Megha M.
    Chorage, Suvarna S.
    BIOMEDICAL ENGINEERING-APPLICATIONS BASIS COMMUNICATIONS, 2024, 36 (04):
  • [44] Towards Improving Motor Imagery Brain-Computer Interface Using Multimodal Speech Imagery
    Tong, Jigang
    Xing, Zhengxing
    Wei, Xiaoying
    Yue, Chao
    Dong, Enzeng
    Du, Shengzhi
    Sun, Zhe
    Sole-Casals, Jordi
    Caiafa, Cesar F.
    JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING, 2023, 43 (03) : 216 - 226
  • [45] Designing Robust Spatial Filter for Motor Imagery Electroencephalography Signal Classification in Brain-Computer Interface Systems
    Miao, Minmin
    Wang, Aimin
    Zeng, Hong
    FUZZY SYSTEMS AND DATA MINING III (FSDM 2017), 2017, 299 : 189 - 196
  • [46] Improved Brain-Computer Interface Signal Recognition Algorithm Based on Few-Channel Motor Imagery
    Wang, Fan
    Liu, Huadong
    Zhao, Lei
    Su, Lei
    Zhou, Jianhua
    Gong, Anmin
    Fu, Yunfa
    FRONTIERS IN HUMAN NEUROSCIENCE, 2022, 16
  • [47] Phase Transition in previous Motor Imagery affects Efficiency of Motor Imagery based Brain-computer Interface
    Jung, Min-Kyung
    Lee, Seho
    Wang, In-Nea
    Song, Ha-Yoon
    Kim, Hakseung
    Kim, Dong-Joo
    2021 9TH IEEE INTERNATIONAL WINTER CONFERENCE ON BRAIN-COMPUTER INTERFACE (BCI), 2021, : 333 - 336
  • [48] Signal processing algorithms for SSVEP-based brain computer interface: State-of-the-art and recent developments
    Hong, Jie
    Qin, Xiansheng
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2021, 40 (06) : 10559 - 10573
  • [49] Hybrid brain-computer interface with motor imagery and error-related brain activity
    Mousavi, Mahta
    Krol, Laurens R.
    de Sa, Virginia R.
    JOURNAL OF NEURAL ENGINEERING, 2020, 17 (05)
  • [50] Bio-Inspired Algorithms for Optimal Feature Selection in Motor Imagery-Based Brain-Computer Interface
    Idowu, Oluwagbenga Paul
    Fang, Peng
    Li, Guanglin
    42ND ANNUAL INTERNATIONAL CONFERENCES OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY: ENABLING INNOVATIVE TECHNOLOGIES FOR GLOBAL HEALTHCARE EMBC'20, 2020, : 519 - 522
12345