A CNN-Transformer Deep Learning Model for Real-time Sleep Stage Classification in an Energy-Constrained Wireless Device*
Author:
Affiliation:
1. Engineering Science (EngSci)
2. University of Toronto,Department of Electrical and Computer Engineering
Funder
Natural Sciences and Engineering Research Council of Canada (NSERC)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10123380/10123710/10123825.pdf?arnumber=10123825
Reference19 articles.
1. Learning from Imbalanced Data
2. SleepFCN: A Fully Convolutional Deep Learning Framework for Sleep Stage Classification Using Single-Channel Electroencephalograms
3. DSSNet: A Deep Sequential Sleep Network for Self-Supervised Representation Learning Based on Single-Channel EEG
4. A Residual Based Attention Model for EEG Based Sleep Staging
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