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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...
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| Gepubliceerd in: | J Diabetes Sci Technol |
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| Hoofdauteurs: | , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
SAGE Publications
2014
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| Onderwerpen: | |
| Online toegang: | 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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