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A high-frequency SSVEP-BCI system based on a 360 Hz refresh rate
Ke Liu1, Zhaolin Yao2, Li Zheng2
1Department of Electronic Information Engineering, Nanchang University, Nanchang, People's Republic of China.
Journal of Neural Engineering
|August 21, 2023
Summary
This study introduces a high-frequency Steady-State Visual Evoked Potential (SSVEP) brain-computer interface (BCI) speller. The novel system achieves high accuracy and user-friendliness, advancing BCI technology.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Human-Computer Interaction
Background:
- Steady-State Visual Evoked Potential (SSVEP) based brain-computer interfaces (BCIs) face challenges in balancing user experience and system performance.
- High-frequency stimuli can potentially improve SSVEP BCI performance.
Purpose of the Study:
- To develop and evaluate a 40-target BCI speller using high-frequency SSVEP stimuli (55-62.8 Hz).
- To achieve both high performance and user-friendliness in a visual BCI system.
Main Methods:
- A stable multi-target stimulus presentation method using a 360 Hz refresh rate monitor.
- Real-time stimulus matrix generation and rendering to reduce computational load.
- Joint frequency and phase modulation for encoding 40 targets, with task discriminant component analysis for feature extraction and classification.
Main Results:
- An average online accuracy of 88.87% ± 3.05% was achieved.
- An average information transfer rate of 51.83 ± 2.77 bits min⁻¹ was recorded.
- The system operated effectively under low flickering perception conditions.
Conclusions:
- The proposed high-frequency SSVEP BCI system demonstrates feasibility and practical value.
- This technology has significant potential for advancing visual BCI applications.
- The findings support the use of high-frequency SSVEP for improved BCI spellers.
