Direct application of an ECG-based sleep staging algorithm on reflective photoplethysmography data decreases performance

OBJECTIVE: The maturation of neural network-based techniques in combination with the availability of large sleep datasets has increased the interest in alternative methods of sleep monitoring. For unobtrusive sleep staging, the most promising algorithms are based on heart rate variability computed f...

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Detalles Bibliográficos
Autores principales: van Gilst, M. M., Wulterkens, B. M., Fonseca, P., Radha, M., Ross, M., Moreau, A., Cerny, A., Anderer, P., Long, X., van Dijk, J. P., Overeem, S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7653690/
https://www.ncbi.nlm.nih.gov/pubmed/33168051
http://dx.doi.org/10.1186/s13104-020-05355-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7653690/
https://www.ncbi.nlm.nih.gov/pubmed/33168051
http://dx.doi.org/10.1186/s13104-020-05355-0

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