Frequency set selection for multi-frequency steady-state visual evoked potential-based brain-computer interfaces

Frequency set selection for multi-frequency steady-state visual evoked potential-based brain-computer interfaces

ObjectiveMulti-frequency steady-state visual evoked potential (SSVEP) stimulation and decoding methods enable the representation of a large number of visual targets in brain-computer interfaces (BCIs). However, unlike traditional single-frequency SSVEP, multi-frequency SSVEP is not yet widely used....

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Bibliographic Details
Main Authors: Jing Mu, David B. Grayden, Ying Tan, Denny Oetomo
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-12-01
Series:Frontiers in Neuroscience
Subjects:
brain-computer interface (BCI)
brain-machine interface (BMI)
electroencephalography (EEG)
dual-frequency
multi-frequency
optimization
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.1057010/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2022.1057010/full

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