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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Dades bibliogràfiques
Publicat a:BMC Res Notes
Autors principals: 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.
Format: Artigo
Idioma:Inglês
Publicat: BioMed Central 2020
Matèries:
Research Note
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7653690/
https://ncbi.nlm.nih.gov/pubmed/33168051
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13104-020-05355-0
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