Machine-learning-derived sleep–wake staging from around-the-ear electroencephalogram outperforms manual scoring and actigraphy

  1. Mikkelsen, K.B.
  2. Ebajemito, J.K.
  3. Bonmati-Carrion, M.A.
  4. Santhi, N.
  5. Revell, V.L.
  6. Atzori, G.
  7. della Monica, C.
  8. Debener, S.
  9. Dijk, D.-J.
  10. Sterr, A.
  11. de Vos, M.
Zeitschrift:
Journal of Sleep Research

ISSN: 1365-2869,  0962-1105

Datum der Publikation: 2019

Ausgabe: 28

Nummer: 2

Art: Artikel

DOI: 10.1111/JSR.12786 GOOGLE SCHOLAR lock_openOpen Access editor
Datenquelle: Scopus