Convolution-and Attention-Based Neural Network for Automated Sleep Stage Classification
Analyzing polysomnography (PSG) is an effective method for evaluating sleep health; however, the sleep stage scoring required for PSG analysis is a time-consuming effort for an experienced medical expert. When scoring sleep epochs, experts pay attention to find specific signal characteristics (e.g.,...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-06-01
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| Series: | International Journal of Environmental Research and Public Health |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1660-4601/17/11/4152 |