Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification.

IEEE Transactions on Biomedical Engineering(2019)

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摘要
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 architecture to power the framework. Given a single input epoch, the novel framework jointly determines its ...
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关键词
Sleep,Standards,Electroencephalography,Computational modeling,Task analysis,Electromyography,Electrooculography
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