Joint classification and prediction CNN framework for automatic sleep stage classification
Correctly identifying sleep stages is important in diagnosing and treating sleep disorders. This work 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 architect...
| Main Authors: | , , , , |
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| Format: | Journal article |
| Published: |
Institute of Electrical and Electronics Engineers
2018
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