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...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on neural systems and rehabilitation engineering Jg. 32; S. 4120 - 4130
Hauptverfasser:	Wang, Junsong, Cui, Yuntian, Zhang, Hongxin, Wu, Haolin, Yang, Chen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 2024
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!