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Combining Information of Autonomic Modulation and CGM Measurements Enables Prediction and Improves Detection of Spontaneous Hypoglycemic Events

BACKGROUND: We have previously tested, in a laboratory setting, a novel algorithm that enables prediction of hypoglycemia. The algorithm integrates information of autonomic modulation, based on heart rate variability (HRV), and data based on a continuous glucose monitoring (CGM) device. Now, we inve...

Täydet tiedot

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Bibliografiset tiedot
Julkaisussa:J Diabetes Sci Technol
Päätekijät: Cichosz, Simon Lebech, Frystyk, Jan, Tarnow, Lise, Fleischer, Jesper
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: SAGE Publications 2014
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC4495539/
https://ncbi.nlm.nih.gov/pubmed/25216731
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/1932296814549830
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