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...

Full description

Saved in:

Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 23; no. 14; p. 6310
Main Authors:	Liang, Liyan, Zhang, Qian, Zhou, Jie, Li, Wenyu, Gao, Xiaorong
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 11.07.2023 MDPI
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!