Improving the performance of SSVEP-BCI contaminated by physiological noise via adversarial training

• Published in: Medicine in novel technology and devices Vol. 18; p. 100213
• Main Authors: Wang, Dai, Liu, Aiping, Xue, Bo, Wu, Le, Chen, Xun
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.06.2023; Elsevier
• Subjects: Adversarial training; Electroencephalography; Neural networks; Physiological artifacts; Steady-state visual evoked potentials; Electroencephalography; Physiological artifacts; Steady-state visual evoked potentials; Adversarial training; Neural networks

Brain-computer interface (BCI) based on Steady-State Visual Evoked Potentials (SSVEP) provides an effective method for human-computer communication. In practical application scenarios, SSVEP-BCI systems are easily interfered by physiological noises such as electromyography (EMG) and electrooculograp...