Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification.
IEEE Transactions on Biomedical Engineering(2019)
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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