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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Argitaratua izan da:BMC Res Notes
Egile Nagusiak: 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.
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: BioMed Central 2020
Gaiak:
Research Note
Sarrera elektronikoa: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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