Self-Paced BCI Using Multiple SWT-Based Classifiers

被引：0
|
作者：
Faradji, Farhad [1 ]
Ward, Rabab K. [1 ]
Birch, Gary E. [1 ]
机构：
[1] Univ British Columbia, Dept Elect & Comp Engn, Vancouver, BC V6T 1Z4, Canada
来源：
2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-8 | 2008年
关键词：
D O I：
10.1109/IEMBS.2008.4649606
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
The presence of false activations inhibits the use of existing self-paced BCIs in real life applications. We present a new design method for a self-paced BCI that yielded 0% false activations using the data of two subjects. This system obtains templates/shapes of the movement related finger flexion patterns. To obtain the templates, the intentional control data are decomposed into 5 levels using the stationary wavelet transform. Then, ensemble averaging is done. These templates are used to train 5 radial basis function neural networks. This is followed by a majority voting classifier.
引用
收藏
页码：2095 / 2098
页数：4
相关论文
共 50 条
  • [1] A Self-Paced BCI Using Stationary Wavelet Packets
    Faradji, Farhad
    Ward, Rabab K.
    Birch, Gary E.
    [J]. 2009 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-20, 2009, : 962 - 965
  • [2] Continuous EEG Classification for a Self-paced BCI
    Satti, Abdul
    Coyle, Damien
    Prasad, Girijesh
    [J]. 2009 4TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING, 2009, : 308 - +
  • [3] Detecting self-paced walking intention based on fNIRS technology for the development of BCI
    Chunguang Li
    Jiacheng Xu
    Yufei Zhu
    Shaolong Kuang
    Wei Qu
    Lining Sun
    [J]. Medical & Biological Engineering & Computing, 2020, 58 : 933 - 941
  • [4] Detecting self-paced walking intention based on fNIRS technology for the development of BCI
    Li, Chunguang
    Xu, Jiacheng
    Zhu, Yufei
    Kuang, Shaolong
    Qu, Wei
    Sun, Lining
    [J]. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2020, 58 (05) : 933 - 941
  • [5] Evaluating the Performance of a Self-paced BCI with a New Movement and Using a More Engaging Environment
    Fatourechi, Mehrdad
    Ward, Rabab K.
    Birch, Gary E.
    [J]. 2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-8, 2008, : 650 - +
  • [6] Self-Paced Training on Motor Imagery-based BCI for Minimal Calibration Time
    Kim, Seon-Min
    Lee, Min-Ho
    Lee, Seong-Whan
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2017, : 2297 - 2301
  • [7] Automated labeling and online evaluation for self-paced movement detection BCI
    Zhang, Dalin
    Hansen, Christoffer
    De Frene, Fredrik
    Kaergaard, Simon Park
    Qian, Weizhu
    Chen, Kaixuan
    [J]. KNOWLEDGE-BASED SYSTEMS, 2023, 265
  • [8] TOWARD DOMOTIC APPLIANCES CONTROL THROUGH A SELF-PACED P300-BASED BCI
    Aloise, F.
    Schettini, F.
    Arico, P.
    Leotta, F.
    Salinari, S.
    Mattia, D.
    Babiloni, F.
    Cincotti, F.
    [J]. BIOSIGNALS 2011, 2011, : 239 - +
  • [9] A Two-class Self-Paced BCI to Control a Robot in Four Directions
    Ron-Angevin, Ricardo
    Velasco-Alvarez, Francisco
    Sancha-Ros, Salvador
    da Silva-Sauer, Leandro
    [J]. 2011 IEEE INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS (ICORR), 2011,
  • [10] Unsupervised Short-term Covariate Shift Minimization for Self-paced BCI
    Mohammadi, Raheleh
    Mahloojifar, Ali
    Coyle, Damien
    [J]. 2013 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE, COGNITIVE ALGORITHMS, MIND, AND BRAIN (CCMB), 2013, : 101 - 106
12345