Filter Bank Convolutional Neural Network for SSVEP Classification

Filter Bank Convolutional Neural Network for SSVEP Classification

Harmonics in electroencephalogram (EEG) caused by visual stimulation are the main basis of classification of steady-state visual evoked potential (SSVEP). However, the correlation of various harmonics, which could improve the classification performance especially when evoked EEG components are much...

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Bibliographic Details
Main Authors: Dechun Zhao, Tian Wang, Yuanyuan Tian, Xiaoming Jiang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Brain–computer interface
convolutional neural networks
electroencephalography
filter bank
steady-state visual evoked potential
Online Access:https://ieeexplore.ieee.org/document/9594841/

Internet

https://ieeexplore.ieee.org/document/9594841/

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