S-EEGNet: Electroencephalogram Signal Classification Based on a Separable Convolution Neural Network With Bilinear Interpolation

As one of the most important research fields in the brain-computer interface (BCI) field, electroencephalogram (EEG) classification has a wide range of application values. However, for the EEG signal, it is difficult for the traditional neural networks to capture the characteristics of the EEG signa...

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Bibliografiske detaljer

Principais autores:	Wenkai Huang, Yihao Xue, Lingkai Hu, Hantang Liuli
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2020-01-01
Serier:	IEEE Access
Fag:	Hilbert > Huang transform~(HHT) electroencephalogram~(EEG) classification convolutional neural network~(CNN) bilinear interpolation
Online adgang:	https://ieeexplore.ieee.org/document/9142199/
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