Deep Neural Network Sleep Scoring Using Combined Motion and Heart Rate Variability Data

Background: Performance of wrist actigraphy in assessing sleep not only depends on the sensor technology of the actigraph hardware but also on the attributes of the interpretative algorithm (IA). The objective of our research was to improve assessment of sleep quality, relative to existing IAs, thro...

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Detalles Bibliográficos
Autores principales: Haghayegh, Shahab, Khoshnevis, Sepideh, Smolensky, Michael H., Diller, Kenneth R., Castriotta, Richard J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7793092/
https://www.ncbi.nlm.nih.gov/pubmed/33374527
http://dx.doi.org/10.3390/s21010025

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7793092/
https://www.ncbi.nlm.nih.gov/pubmed/33374527
http://dx.doi.org/10.3390/s21010025

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