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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...
Uloženo v:
| Vydáno v: | Int J Environ Res Public Health |
|---|---|
| Hlavní autoři: | , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
MDPI
2019
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6406978/ https://ncbi.nlm.nih.gov/pubmed/30791379 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/ijerph16040599 |
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