The addition of entropy-based regularity parameters improves sleep stage classification based on heart rate variability.
The work considers automatic sleep stage classification, based on heart rate variability (HRV) analysis, with a focus on the distinction of wakefulness (WAKE) from sleep and rapid eye movement (REM) from non-REM (NREM) sleep. A set of 20 automatically annotated one-night polysomnographic recordings...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 53; no. 5; pp. 415 - 426 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
May2015
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| Acceso en línea: | Ver este registro en EBSCOhost |