• DocumentCode
    1593190
  • Title

    Artifacts, Habituation and P300-Based Brain Machine Interfaces

  • Author

    Kota, Prashant ; Sundaresan, Karthik ; Jansen, Ben H.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Houston Univ., TX
  • fYear
    2006
  • Firstpage
    7056
  • Lastpage
    7059
  • Abstract
    We investigated to what degree the detection rate of the P300 in single trial event-related potentials is affected by short-term and long-term habituation effects, and we present an algorithm to eliminate eye-movement artifacts. Data from 26 subjects were collected using a visual oddball paradigm. P300 components were detected using a threshold algorithm operating on the delta band (0-4 Hz). Using data from four subjects, collected over a 7 to 12 week period, it was observed that the P300 amplitude tended to decrease within a session, and also between successive sessions. However, this decrease did not affect the detection rate. The eye-movement removal algorithm was tested on simulated and actual data, and resulted in a significant increase in detection rate
  • Keywords
    bioelectric potentials; biomechanics; electroencephalography; eye; handicapped aids; medical signal detection; medical signal processing; 0 to 4 Hz; 7 to 12 week; P300 detection rate of; brain machine interfaces; eye-movement artifacts; eye-movement removal algorithm; long-term habituation effects; short-term habituation effects; single trial event-related potentials; threshold algorithm; visual oddball paradigm; Brain modeling; Communication system control; Context; Electric potential; Electrodes; Electroencephalography; Enterprise resource planning; Intersymbol interference; Neuromuscular; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-8741-4
  • Type

    conf

  • DOI
    10.1109/IEMBS.2005.1616131
  • Filename
    1616131