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

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...

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Bibliographic Details
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
ISSN:	1534-4320, 1558-0210, 1558-0210
Online Access:	Get full text
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