Novel Signal-to-Signal translation method based on StarGAN to generate artificial EEG for SSVEP-based brain-computer interfaces

Expert Systems with Applications（2022）

引用 4|浏览15

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摘要

•SSVEP-StarGAN, a novel signal-to-signal translation method for SSVEP-based BCIs, was proposed.•Artificial SSVEP signals were successfully generated using resting EEG data.•The classification accuracies and ITR were significantly improved using the artificial SSVEP signals.•The artificial SSVEP signals can be used to effectively reduce the time-consuming calibration time.

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关键词

Brain–computer interface,Steady-state visual evoked potential,Generative adversarial networks,Multidomain signal-to-signal translation

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