LWSleepNet: A lightweight attention-based deep learning model for sleep staging with singlechannel EEG
Introduction Sleep is vital to human health, and sleep staging is an essential process in sleep assessment. However, manual classification is an inefficient task. Along with the increased demand for portable sleep quality detection devices, lightweight automatic sleep staging needs to be developed....
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2023-07-01
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| Series: | Digital Health |
| Online Access: | https://doi.org/10.1177/20552076231188206 |