A Convolutional Neural Network based on Batch Normalization and Residual Block for P300 Signal Detection of P300-speller System

Author:

Lu Zhaohua,Li Qi,Gao Ning,Wang Taiyue,Yang Jingjing,Bai Ou

Publisher

IEEE

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Research on Hybrid Online Brain-Computer Interface System Based on MI-mVEP;2023 Asia Symposium on Image Processing (ASIP);2023-06-15

2. Subject-Independent P300 Speller Classification using Time-Frequency Representation and Double Input CNN with Feature Concatenation;2023 24th International Conference on Digital Signal Processing (DSP);2023-06-11

3. A BCI painting system using a hybrid control approach based on SSVEP and P300;Computers in Biology and Medicine;2022-11

4. EEG Classification Based On Deep Learning;2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC);2022-06-17

5. A novel custom optimized convolutional neural network for a satellite image by using forest fire detection;Earth Science Informatics;2022-04-28

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