An Asynchronous Training-Free SSVEP-BCI Detection Algorithm for Non-Equal Prior Probability Scenarios

• Published in: IEEE transactions on neural systems and rehabilitation engineering Vol. 32; pp. 4120 - 4130
• Main Authors: Wang, Junsong, Cui, Yuntian, Zhang, Hongxin, Wu, Haolin, Yang, Chen
• Format: Journal Article
• Language: English
• Published: United States IEEE 2024
• Subjects: Adult; Algorithms; asynchronous; Background noise; Brain modeling; Brain-computer interface (BCI); Brain-Computer Interfaces; Detection Algorithms; Electroencephalography; Electroencephalography - methods; Evoked Potentials, Visual - physiology; Female; Humans; Male; Mathematical models; maximum a posteriori (MAP); mutual information rate (MIR); Photic Stimulation; Posterior probability; Probability; Probability distribution; Reproducibility of Results; Sensitivity and Specificity; Signal-To-Noise Ratio; steady-state visual evoked potential (SSVEP); Target recognition; Training; Visualization; Young Adult

SSVEP-based brain-computer interface (BCI) systems have received a lot of attention due to their relatively high Signal to Noise Ratio (SNR) and less training requirements. Most of the existing steady-state visual evoked potential (SSVEP) detection algorithms treat the prior probability of each alte...