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Temporal Feature Extraction and Machine Learning for Classification of Sleep Stages Using Telemetry Polysomnography
Accurate sleep stage detection is crucial for diagnosing sleep disorders and tailoring treatment plans. Polysomnography (PSG) is considered the gold standard for sleep assessment since it captures a diverse set of physiological signals. While various studies have employed complex neural networks for...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10452545/ https://www.ncbi.nlm.nih.gov/pubmed/37626557 http://dx.doi.org/10.3390/brainsci13081201 |