Inter- and Intra-subject Template-Based Multivariate Synchronization Index Using an Adaptive Threshold for SSVEP-Based BCIs

The steady-state visually evoked potential (SSVEP) has been widely used in brain-computer interfaces (BCIs). Many studies have proved that the Multivariate synchronization index (MSI) is an efficient method for recognizing the frequency components in SSVEP-based BCIs. Despite its success, the recogn...

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Päätekijät:	Haoran Wang, Yaoru Sun, Yunxia Li, Shiyi Chen, Wei Zhou
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Frontiers Media S.A. 2020-09-01
Sarja:	Frontiers in Neuroscience
Aiheet:	brain-computer interface (BCI) steady-state visually evoked potentials (SSVEP) inter- and intra-subject template-based multivariate synchronization index transfer learning adaptive threshold
Linkit:	https://www.frontiersin.org/article/10.3389/fnins.2020.00717/full
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