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Application of a single-flicker online SSVEP BCI for spatial navigation
Jingjing Chen1, Dan Zhang2, Andreas K Engel3
1Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
Plos One
|June 1, 2017
Summary
This study introduces a novel spatially coded steady-state visual evoked potential (SSVEP) brain-computer interface (BCI). This new BCI allows users to control systems using peripheral vision, reducing fatigue and seizure risk associated with traditional SSVEP BCIs.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Human-Computer Interaction
Background:
- Steady-state visual evoked potential (SSVEP) based brain-computer interfaces (BCIs) offer high information transfer rates (ITR) and simple setups.
- Traditional SSVEP BCIs necessitate direct gaze at stimuli, potentially causing user fatigue and photic epileptic seizures.
- A need exists for SSVEP BCI paradigms that mitigate these drawbacks while maintaining performance.
Purpose of the Study:
- To introduce and evaluate a novel spatially coded SSVEP BCI paradigm.
- To assess the feasibility of using a single, extrafoveally presented stimulus for multi-channel control.
- To integrate this paradigm into an online BCI for a 2D computer game and analyze its performance.
Main Methods:
- Development of a spatially coded SSVEP stimulation paradigm using a single, extrafoveal flicker stimulus.
- Implementation of the paradigm within an online BCI for navigating a 2D computer game.
- Offline and online performance evaluation, including classification accuracy and information transfer rate (ITR).
Main Results:
- Offline analysis demonstrated high classification accuracy (96.9±1.64%) and ITR (30.1±1.8 bits/min).
- Online testing achieved a classification accuracy of 87.9±11.4% and an ITR of 23.8±6.75 bits/min.
- Stable online performance was maintained for over 30 minutes, indicating reliable control.
Conclusions:
- The spatially coded SSVEP BCI effectively enables control using peripheral vision, addressing limitations of traditional methods.
- The novel paradigm is suitable for practical applications like gaming, offering robust and stable user control.
- Further research may explore the relationship between offline and online performance for personalized BCI calibration.

