Data lake-driven analytics identify nocturnal non-dipping of heart rate as predictor of unfavorable stroke outcome at discharge

BACKGROUND: Post-stroke heart rate (HR) and heart rate variability (HRV) changes have been proposed as outcome predictors after stroke. We used data lake-enabled continuous electrocardiograms to assess post-stroke HR and HRV, and to determine the utility of HR and HRV to improve machine learning-bas...

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Detalles Bibliográficos
Autores principales: Nelde, Alexander, Klammer, Markus G., Nolte, Christian H., Stengl, Helena, Krämer, Michael, von Rennenberg, Regina, Meisel, Andreas, Scheibe, Franziska, Endres, Matthias, Scheitz, Jan F., Meisel, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Original Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10345074/
https://www.ncbi.nlm.nih.gov/pubmed/37079032
http://dx.doi.org/10.1007/s00415-023-11718-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10345074/
https://www.ncbi.nlm.nih.gov/pubmed/37079032
http://dx.doi.org/10.1007/s00415-023-11718-x

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