Modulation of sensorimotor rhythms for brain-computer interface using motor imagery with online feedback

被引:0
|
作者
Eltaf Abdalsalam
Mohd Zuki Yusoff
Aamir Malik
Nidal S. Kamel
Dalia Mahmoud
机构
[1] Universiti Teknologi PETRONAS (UTP),Centre for Intelligent Signal and Imaging Research (CISIR), Department of Electrical and Electronic Engineering
[2] Al-Neelain University,undefined
[3] Department of Electronic Engineering,undefined
来源
关键词
Brain-computer interface (BCI); EEG; Sensorimotor rhythm (SMR); Motor imagery; Event-related desynchronization/synchronization (ERD/ERS);
D O I
暂无
中图分类号
学科分类号
摘要
This research studies the impact of the imagination of movements and associated feedbacks on the modulation of sensorimotor electroencephalographic (EEG) rhythms, for the online controls of a brain-computer interface (BCI). Nine subjects with no physical or mental impairments were selected. The number of sessions was five: one calibration and four feedback sessions. A computer screen’s cursor movement was controlled in one dimension using EEG-based four-class BCI involving motor imagery tasks of moving the right hand, the left hand, both hands, or both feet. Our findings reveal that the visual feedback applied during motor imagery movement modulates sensorimotor EEG rhythms clearly in the mu and beta bands. The analyses of event-related desynchronization/synchronization (ERD/ERS) suggest significant differences between brain activities in the calibration and feedback sessions; large ERDs during the online feedback sessions compared to that in the calibration session have been observed. The increasing ERDs in the online feedback session were noticed over the mu1 (8–10 Hz) and upper beta (18–24 Hz) rhythms, resulting in the cursor control success rate at 73.3%.
引用
收藏
页码:557 / 564
页数:7
相关论文
共 50 条
  • [21] Motor Imagery Brain-Computer Interface for RPAS Command and Control
    Arnaldo, Rosa
    Gomez Comendador, Fernando
    Perez, Luis
    Rodriguez, Alvaro
    ADVANCES IN HUMAN FACTORS AND SYSTEMS INTERACTION, 2018, 592 : 325 - 335
  • [22] A Motor Imagery Based Brain-Computer Interface for Stroke Rehabilitation
    Ortner, R.
    Irimia, D. -C.
    Scharinger, J.
    Guger, C.
    ANNUAL REVIEW OF CYBERTHERAPY AND TELEMEDICINE, 2012, 10 : 319 - 323
  • [23] Phase locking analysis of motor imagery in brain-computer interface
    Hu, Jianfeng
    Mu, Zhendong
    Wang, Jinli
    BMEI 2008: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS, VOL 2, 2008, : 478 - 481
  • [24] Classification of Motor Imagery Electrocorticogram Signals for Brain-Computer Interface
    Zheng, Wenfeng
    Xu, Fangzhou
    Shu, Minglei
    Zhang, Yingchun
    Yuan, Qi
    Lian, Jian
    Zheng, Yuanjie
    2019 9TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER), 2019, : 530 - 533
  • [25] Sensorimotor Modulation Assessment and Brain-Computer Interface Training in Disorders of Consciousness
    Coyle, Damien
    Stow, Jacqueline
    McCreadie, Karl.
    McElligott, Jacinta
    Carroll, Aine
    ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION, 2015, 96 (03): : S62 - S70
  • [26] Post-Adaptation Effects in a Motor Imagery Brain-Computer Interface Online Coadaptive Paradigm
    Cunha, Jose Diogo
    Perdikis, Serafeim
    Halder, Sebastian
    Scherer, Reinhold
    IEEE ACCESS, 2021, 9 : 41688 - 41703
  • [27] A method from offline analysis to online training for the brain-computer interface based on motor imagery and speech imagery
    Wang, Li
    Huang, Weijian
    Yang, Zhao
    Hu, Xiao
    Zhang, Chun
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2020, 62
  • [28] Using a motor imagery questionnaire to estimate the performance of a Brain-Computer Interface based on object oriented motor imagery
    Vuckovic, Aleksandra
    Osuagwu, Bethel A.
    CLINICAL NEUROPHYSIOLOGY, 2013, 124 (08) : 1586 - 1595
  • [29] Emotion-Inducing Imagery Versus Motor Imagery for a Brain-Computer Interface
    Bigirimana, A. D.
    Siddique, N.
    Coyle, D.
    IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2020, 28 (04) : 850 - 859
  • [30] Noninvasive Brain-Computer Interfaces Based on Sensorimotor Rhythms
    He, Bin
    Baxter, Bryan
    Edelman, Bradley J.
    Cline, Christopher C.
    Ye, Wenjing W.
    PROCEEDINGS OF THE IEEE, 2015, 103 (06) : 907 - 925