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2026-08-11 00:00 China Papers Foundations & Methods Translated from EN

Review: SSVEP-BCI Application Bottlenecks and Solutions

Summary A review analyses technical, hardware, and user-level bottlenecks facing SSVEP-BCI systems in real-world deployment, summarising solutions including EMG fusion denoising, novel sponge electrodes, and hybrid paradigms.
Why it matters SSVEP is a mainstream BCI paradigm due to its high information transfer rate and low training requirements, yet real-world deployment faces multiple bottlenecks. This review systematically analyses core difficulties at technical, hardware, and user levels and summarises existing solutions, providing a roadmap for practical SSVEP-BCI deployment.

BCIwiki (bciwiki.com) — The study was published in Exploring Science Academic Conference Series on August 11, 2026. Steady-state visual evoked potential (SSVEP) has become one of the mainstream paradigms in brain-computer interface systems due to its high information transfer rate, high recognition accuracy, and low user training requirements, showing potential in medical rehabilitation and intelligent control. Despite substantial technical advances in laboratory settings, SSVEP-BCI systems still face significant bottlenecks when transitioning to real-world applications.

Researcher Zichen He systematically analysed the core difficulties facing SSVEP-BCI systems at three levels: at the technical level, signal denoising and asynchronous system design; at the hardware level, the trade-off between device cost and performance; at the user level, core needs related to comfort and portability.

The paper summarises existing solutions including fusion with electromyography (EMG) signals for denoising, sponge electrodes made from novel materials, high-frequency stimulation, and hybrid paradigms. The author highlights that algorithm optimisation, new material development, and hybrid paradigms will be key pathways for moving SSVEP-BCI systems from laboratories to widespread application.

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doi.org 2026-08-11

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