Dataset Evaluation Method and Application for Performance Testing of SSVEP-BCI Decoding Algorithm

Steady-state visual evoked potential (SSVEP)-based brain–computer interface (BCI) systems have been extensively researched over the past two decades, and multiple sets of standard datasets have been published and widely used. However, there are differences in sample distribution and collection equip...

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Vydané v:	Sensors (Basel, Switzerland) Ročník 23; číslo 14; s. 6310
Hlavní autori:	Liang, Liyan, Zhang, Qian, Zhou, Jie, Li, Wenyu, Gao, Xiaorong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland MDPI AG 11.07.2023 MDPI
Predmet:	algorithm Algorithms Brain research Brain-Computer Interfaces brain–computer interface (BCI) Codes Correlation analysis dataset Datasets Electrodes Electroencephalography - methods Evoked Potentials, Visual Humans Methods performance testing Photic Stimulation Signal to noise ratio steady-state visual evoked potential (SSVEP) brain–computer interface (BCI) performance testing dataset algorithm steady-state visual evoked potential (SSVEP)
ISSN:	1424-8220, 1424-8220
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