Localization of class-related mu-rhythm desynchronization in motor imagery based Brain-Computer Interface sessions

被引：4
|
作者：
Haufe, Stefan [1 ]
Tomioka, Ryota [3 ]
Dickhaus, Thorsten [1 ]
Sannelli, Claudia [1 ]
Blankertz, Benjamin [1 ]
Nolte, Guido [2 ]
Mueller, Klaus-Robert [1 ]
机构：
[1] Berlin Inst Technol, Franklinstr 28-29, D-10587 Berlin, Germany
[2] Fraunhofer Inst FIRST, D-12489 Berlin, Germany
[3] Univ Tokyo, Tokyo 1138654, Japan
来源：
2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2010年
关键词：
RECONSTRUCTION; PERFORMANCE;
D O I：
10.1109/IEMBS.2010.5626177
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
We localize the sources of class-dependent event-related desynchronisation (ERD) of the mu-rhythm related to different types of motor imagery in Brain-Computer Interfacing (BCI) sessions. Our approach is based on localization of single-trial Fourier coefficients using sparse basis field expansions (S-FLEX). The analysis reveals focal sources in the sensorimotor cortices, a finding which can be regarded as a proof for the expected neurophysiological origin of the BCI control signal. As a technical contribution, we extend S-FLEX to the multiple measurement case in a way that the activity of different frequency bins within the mu-band is coherently localized.
引用
收藏
页码：5137 / 5140
页数：4
相关论文
共 50 条
  • [31] Multimodal feedback in assisting a wearable brain-computer interface based on motor imagery
    Arpaia, Pasquale
    Coyle, Damien
    Donnarumma, Francesco
    Esposito, Antonio
    Natalizio, Angela
    Parvis, Marco
    Pesola, Marisa
    Vallefuoco, Ersilia
    2022 IEEE INTERNATIONAL CONFERENCE ON METROLOGY FOR EXTENDED REALITY, ARTIFICIAL INTELLIGENCE AND NEURAL ENGINEERING (METROXRAINE), 2022, : 691 - 696
  • [32] Serious Game for Motor-Imagery based Brain-Computer Interface training
    Ianosi-Andreeva-Dimitrova, Alexandru
    Mandru, Silviu-Dan
    2021 INTERNATIONAL CONFERENCE ON E-HEALTH AND BIOENGINEERING (EHB 2021), 9TH EDITION, 2021,
  • [33] A magnetoencephalography dataset for motor and cognitive imagery-based brain-computer interface
    Dheeraj Rathee
    Haider Raza
    Sujit Roy
    Girijesh Prasad
    Scientific Data, 8
  • [34] Relevance-based channel selection in motor imagery brain-computer interface
    Nagarajan, Aarthy
    Robinson, Neethu
    Guan, Cuntai
    JOURNAL OF NEURAL ENGINEERING, 2023, 20 (01)
  • [35] Mechanical Vibrotactile Stimulation Effect in Motor Imagery based Brain-computer Interface
    Yao, Lin
    Sheng, Xinjun
    Meng, Jianjun
    Zhang, Dingguo
    Zhu, Xiangyang
    2013 35TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2013, : 2772 - 2775
  • [36] Optimization of Task Allocation for Collaborative Brain-Computer Interface Based on Motor Imagery
    Gu, Bin
    Xu, Minpeng
    Xu, Lichao
    Chen, Long
    Ke, Yufeng
    Wang, Kun
    Tang, Jiabei
    Ming, Dong
    FRONTIERS IN NEUROSCIENCE, 2021, 15
  • [37] A magnetoencephalography dataset for motor and cognitive imagery-based brain-computer interface
    Rathee, Dheeraj
    Raza, Haider
    Roy, Sujit
    Prasad, Girijesh
    SCIENTIFIC DATA, 2021, 8 (01)
  • [38] Motor Imagery-based Brain-Computer Interface: Neural Network Approach
    D. M. Lazurenko
    V. N. Kiroy
    I. E. Shepelev
    L. N. Podladchikova
    Optical Memory and Neural Networks, 2019, 28 : 109 - 117
  • [39] Signal classification algorithm in motor imagery based on asynchronous brain-computer interface
    Jiang, Yu
    He, Jingyan
    Li, Dandan
    Jin, Jing
    Shen, Yi
    2019 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC), 2019, : 1422 - 1426
  • [40] Real-Time Brain-Computer Interface System Based on Motor Imagery
    Tie-Jun Liu
    Journal of Electronic Science and Technology, 2009, 7 (01) : 3 - 6
12345