• DocumentCode
    252409
  • Title

    Consideration on a new BCI method using EEG to detect motion intention

  • Author

    Shimizu, T. ; Dobashi, H. ; Ito, K. ; Nagai, K.

  • Author_Institution
    Dept. of Robot., Ritsumeikan Univ., Kusatsu, Japan
  • fYear
    2014
  • fDate
    13-15 Dec. 2014
  • Firstpage
    785
  • Lastpage
    789
  • Abstract
    In our research, we aim to reconstruct the closed loop of the brain and the body for stroke rehabilitation. Stroke patients need to be supported externally when trying to move paralyzed parts of their bodies. In order to know the onset time of voluntary motions of patients, the motion intention needs to be detected. This paper considers a new BCI method using EEG to detect motion intention. The proposed method has two characteristics in EEG analysis: i) it can reduce the influence of noises; ii) it can deal with individual differences of users. The utility of the proposed method is verified with measured EEG in experiments.
  • Keywords
    bioelectric potentials; biomechanics; brain-computer interfaces; electroencephalography; medical disorders; medical signal processing; neurophysiology; patient rehabilitation; signal denoising; BCI method; EEG analysis; closed loop reconstruction; noise; patient motion intention; stroke patients; stroke rehabilitation; Elbow; Electroencephalography; Robots; Spectral analysis; Time-frequency analysis; Tuning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Integration (SII), 2014 IEEE/SICE International Symposium on
  • Conference_Location
    Tokyo
  • Print_ISBN
    978-1-4799-6942-5
  • Type

    conf

  • DOI
    10.1109/SII.2014.7028138
  • Filename
    7028138