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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6406978/ https://www.ncbi.nlm.nih.gov/pubmed/30791379 http://dx.doi.org/10.3390/ijerph16040599 |