SSVEP-based BCI using ultra-low-frequency and high-frequency peripheral flickers

Abstract Objective . existing steady-state visual evoked potential (SSVEP)-based brain–computer interface (BCI) systems predominantly employ a flicker frequency range of 8–20 Hz, which often induces visual fatigue in users, thereby compromising system performance. Considering that, this study introduces an innovative paradigm to enhance the user experience of SSVEP-based BCIs while maintaining the performance. Approach . the system encodes 12 targets by integrating ultra-low-frequency (2.00–3.32 Hz) and high-frequency (34.00–35.32 Hz) flickers with peripheral stimulation, and task-related component analysis is employed for SSVEP signal identification. Main results . the feasibility of the ultra-low-frequency peripheral stimulation paradigm was validated through online experiments, achieving an average accuracy of 89.03 ± 9.95% and an information transfer rate (ITR) of 66.74 ± 15.44 bits min −1 . For the high-frequency peripheral stimulation paradigm, only the stimulation frequency changed, the paradigm, the signal processing algorithm and the step of frequency and phase were unchanged. The online experiments demonstrated an average accuracy of 93.55 ± 3.02% and an ITR of 51.88 ± 3.74 bits min −1 . Significance . the performance of the proposed system has reached a relatively high level among the current user-friendly SSVEP-based BCI systems. This study successfully innovates the paradigm for SSVEP-based BCIs, offering new insights into the development of user-friendly systems that balance high performance and user comfort.