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Sleep stage classification from heart-rate variability using long short-term memory neural networks
Automated sleep stage classification using heart rate variability (HRV) may provide an ergonomic and low-cost alternative to gold standard polysomnography, creating possibilities for unobtrusive home-based sleep monitoring. Current methods however are limited in their ability to take into account lo...
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| Publicado en: | Sci Rep |
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| Autores principales: | , , , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6775145/ https://ncbi.nlm.nih.gov/pubmed/31578345 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-49703-y |
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