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An SSVEP-actuated brain computer interface using phase-tagged flickering sequences: a cursor system.

Po-Lei Lee1, Jyun-Jie Sie, Yu-Ju Liu

  • 1Department of Electrical Engineering, National Central University, No. 300 Jhongda Rd., Jhongli City, Taoyuan, Taiwan. pllee@ee.ncu.edu.tw

Annals of Biomedical Engineering
|February 24, 2010
PubMed
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This study introduces a new steady-state visual evoked potential (SSVEP) brain-computer interface (BCI) using high-frequency flickers. The SSVEP BCI achieved high accuracy for controlling screen functions, offering a reliable communication channel for disabled individuals.

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Human-Computer Interaction

Background:

  • Brain-computer interfaces (BCIs) offer communication pathways for individuals with severe motor disabilities.
  • Steady-state visual evoked potentials (SSVEPs) are a common BCI modality, but can be susceptible to noise and artifacts.
  • Existing SSVEP BCIs often require artifact removal or eye-tracking systems.

Purpose of the Study:

  • To develop and evaluate a novel SSVEP-based BCI system with a simplified architecture.
  • To enhance BCI performance by utilizing high-frequency visual stimuli.
  • To assess the system's accuracy and information transfer rate in human subjects.

Main Methods:

  • Utilized eight phase-tagged light-emitting diodes (LEDs) flickering at 31.25 Hz to induce SSVEPs.

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  • Measured EEG signals from a single electrode (Oz) and processed them using bandpass filtering and epoch averaging.
  • Identified targets based on phase lags between measured and reference SSVEPs.
  • Implemented control for cursor movements and button functions on a screen menu.

    • Main Results:

    • Achieved high accuracy (93.14 +/- 5.73%) and information transfer rate (28.29 +/- 12.19 bits/min) across seven subjects.
    • The high-frequency flicker design effectively reduced low-frequency noise and eye movement artifacts, eliminating the need for artifact monitoring.
    • The system demonstrated a flicker fusion effect for improved visualization.

    Conclusions:

    • The proposed SSVEP BCI system provides a reliable and efficient communication tool.
    • The simplified architecture, due to high-frequency stimuli, enhances usability and reduces system complexity.
    • This technology holds significant potential for improving communication for severely disabled patients.