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Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification
Correctly identifying sleep stages is important in diagnosing and treating sleep disorders. This paper proposes a joint classification-and-prediction framework based on convolutional neural networks (CNNs) for automatic sleep staging, and, subsequently, introduces a simple yet efficient CNN architec...
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| Published in: | IEEE Trans Biomed Eng |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
IEEE
2018
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6487915/ https://ncbi.nlm.nih.gov/pubmed/30346277 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TBME.2018.2872652 |
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