On the Relative Contribution of Deep Convolutional Neural Networks for SSVEP-Based Bio-Signal Decoding in BCI Speller Applications-Reference-Cited by-同舟云学术

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On the Relative Contribution of Deep Convolutional Neural Networks for SSVEP-Based Bio-Signal Decoding in BCI Speller Applications

Published:2019-04 Issue:4 Volume:27 Page:611-618
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Podmore Joshua J.^ORCID,Breckon Toby P.,Aznan Nik K. N.^ORCID,Connolly Jason D.^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

http://xplorestaging.ieee.org/ielx7/7333/8684927/08667028.pdf?arnumber=8667028

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3. A fused multi-subfrequency bands and CBAM SSVEP-BCI classification method based on convolutional neural network;Scientific Reports;2024-04-14

4. A Fused Multi-subfrequency Bands and CBAM SSVEP-BCI Classification Method Based on Convolutional Neural Network;2024-01-11

5. The SSHVEP Paradigm-Based Brain Controlled Method for Grasping Robot Using MVMD Combined CNN Model;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024

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