A fused multi-subfrequency bands and CBAM SSVEP-BCI classification method based on convolutional neural network

A fused multi-subfrequency bands and CBAM SSVEP-BCI classification method based on convolutional neural network

Abstract For the brain-computer interface (BCI) system based on steady-state visual evoked potential (SSVEP), it is difficult to obtain satisfactory classification performance for short-time window SSVEP signals by traditional methods. In this paper, a fused multi-subfrequency bands and convolutiona...

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Bibliographic Details
Main Authors: Dongyang Lei, Chaoyi Dong, Hongfei Guo, Pengfei Ma, Huanzi Liu, Naqin Bao, Hongzhuo Kang, Xiaoyan Chen, Yi Wu
Format: Article
Language:English
Published: Nature Portfolio 2024-04-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-59348-1

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https://doi.org/10.1038/s41598-024-59348-1

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