3DSleepNet: A Multi-Channel Bio-Signal Based Sleep Stages Classification Method Using Deep Learning
A novel multi-channel-based 3D convolutional neural network (3D-CNN) is proposed in this paper to classify sleep stages. Time domain features, frequency domain features, and time-frequency domain features are extracted from electroencephalography (EEG), electromyogram (EMG), and electrooculogram (EO...
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| Main Authors: | , , |
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| Format: | Book |
| Published: |
IEEE,
2023-01-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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