• DocumentCode
    618390
  • Title

    Detection of pre movement event — Related desynchronization from single trial EEG signal

  • Author

    Soman, Karthik ; Reddy, Patel ; Lakany, Heba

  • Author_Institution
    Bio Med. Dept., VIT Univ., Vellore, India
  • fYear
    2013
  • fDate
    11-12 April 2013
  • Firstpage
    788
  • Lastpage
    792
  • Abstract
    Brain Computer Interfacing provides a new of communication for the paralyzed persons affected with Amyotrophic Lateral Sclerosis, Spinal Cord Injury or Brain stem stroke. Detection of the occurrence of the events from the EEG signal from a single trial forms the basis for the real time implementation of BCI. The stochastic nature of EEG signal makes it a challenging one. This paper proposes a method by which event detection was done from a single trial of EEG signal by detecting the Mu Band ERD. The proposed method was compared with the conventional method for quantifying ERD. The statistical analysis using t test proved that at a confidence level of 95%, the proposed method detects the ERD occurrence time within a range of 90% of the conventional method.
  • Keywords
    adaptive filters; brain-computer interfaces; electroencephalography; injuries; medical disorders; medical signal detection; medical signal processing; neurophysiology; statistical analysis; stochastic processes; BCI; ERD occurrence time; amyotrophic lateral sclerosis; brain computer interfacing; brain stem stroke; conventional method; paralyzed persons; premovement event-related desynchronization detection; real time implementation; single trial EEG signal; spinal cord injury; statistical analysis; stochastic nature; Adaptive filters; Band-pass filters; Conferences; Electrodes; Electroencephalography; Electrooculography; Finite impulse response filters; Brain Computer Interface ALS; EEG; ERD; Mu Band;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information & Communication Technologies (ICT), 2013 IEEE Conference on
  • Conference_Location
    JeJu Island
  • Print_ISBN
    978-1-4673-5759-3
  • Type

    conf

  • DOI
    10.1109/CICT.2013.6558201
  • Filename
    6558201