A computationally efficient algorithm for wearable sleep staging in clinical populations

This study describes a computationally efficient algorithm for 4-class sleep staging based on cardiac activity and body movements. Using an accelerometer to calculate gross body movements and a reflective photoplethysmographic (PPG) sensor to determine interbeat intervals and a corresponding instant...

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Detalles Bibliográficos
Autores principales: Fonseca, Pedro, Ross, Marco, Cerny, Andreas, Anderer, Peter, van Meulen, Fokke, Janssen, Hennie, Pijpers, Angelique, Dujardin, Sylvie, van Hirtum, Pauline, van Gilst, Merel, Overeem, Sebastiaan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10244431/
https://www.ncbi.nlm.nih.gov/pubmed/37280297
http://dx.doi.org/10.1038/s41598-023-36444-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10244431/
https://www.ncbi.nlm.nih.gov/pubmed/37280297
http://dx.doi.org/10.1038/s41598-023-36444-2

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