• DocumentCode
    3292042
  • Title

    Recognition of hemodynamic responses for mental arithmetic using support vector machine

  • Author

    Xuxian Yin ; Baolei Xu ; Zhidong Wang ; Hongyi Li ; Gang Shi

  • Author_Institution
    State Key Lab. of Robot., Shenyang Inst. of Autom. (SIA), Shenyang, China
  • fYear
    2013
  • fDate
    12-14 Dec. 2013
  • Firstpage
    1024
  • Lastpage
    1029
  • Abstract
    Functional near infrared spectroscopy (fNERS) is a non-invasive technology that can be applied in brain-computer interface (BCI). fNIRS uses light in the range of near infrared to measure activity of the cerebral cortex. Prefrontal cortex is activated when performing mental arithmetic tasks. We captured frontal hemodynamic responses during mental arithmetic task from two subjects. Two different brain activities, rest and active, are recognized using Support Vector Machine (SVM). Task onset delay can be reduced by selecting appropriate feature set.
  • Keywords
    brain; brain-computer interfaces; electroencephalography; medical signal processing; pattern recognition; signal classification; support vector machines; BCI; SVM; brain active activity; brain rest activity; brain-computer interface; cerebral cortex; fNERS; functional near infrared spectroscopy; hemodynamic response recognition; mental arithmetic; noninvasive technology; prefrontal cortex; support vector machine; Accuracy; Brain; Delays; Electroencephalography; Hemodynamics; Robots; Support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics (ROBIO), 2013 IEEE International Conference on
  • Conference_Location
    Shenzhen
  • Type

    conf

  • DOI
    10.1109/ROBIO.2013.6739598
  • Filename
    6739598