Online Adaptive CNN: a Session-to-session Transfer Learning Approach for Non-stationary EEG-Reference-Cited by-同舟云学术

Online Adaptive CNN: a Session-to-session Transfer Learning Approach for Non-stationary EEG

Published:2022-12-04 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Symposium Series on Computational Intelligence (SSCI)
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Author:

Zhang Shuailei¹,Zheng Dezhi²,Tang Ning³,Chew Effie³,Lim Rosary Yuting⁴,Ang Kai Keng⁴,Guan Cuntai⁵

Affiliation:

1. School of Instrumentation and Optoelectronic Engineering, Beihang University,Beijing,China

2. School of Instrumentation and Optoelectronic Engineering, Research Institute for Frontier Science, Beihang University,Beijing,China

3. National University Hospital,Division of Rehabilitation Medicine,Department of Medicine,Singapore

4. Institute for Infocomm Research, Agency for Science Technology and Research,Singapore

5. School of Computer Science and Engineering, Nanyang Technological University,Singapore

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10022049/10022014/10022274.pdf?arnumber=10022274

Reference20 articles.

1. LSTM-Based EEG Classification in Motor Imagery Tasks

2. Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks

3. Reducing power line noise in EEG and MEG data via spectrum interpolation

4. Brain wave classification using long short-term memory network based OPTICAL predictor

5. A large-scale evaluation frame-work for eeg deep learning architectures;felix;2018 IEEE International Conference on Systems Man and Cybernetics (SMC),0

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