A Deep Learning Model for Automated Sleep Stages Classification Using PSG Signals
Sleep disorder is a symptom of many neurological diseases that may significantly affect the quality of daily life. Traditional methods are time-consuming and involve the manual scoring of polysomnogram (PSG) signals obtained in a laboratory environment. However, the automated monitoring of sleep sta...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-02-01
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| Series: | International Journal of Environmental Research and Public Health |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1660-4601/16/4/599 |