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Characterization of Artifact Influence on the Classification of Glucose Time Series Using Sample Entropy Statistics
This paper analyses the performance of SampEn and one of its derivatives, Fuzzy Entropy (FuzzyEn), in the context of artifacted blood glucose time series classification. This is a difficult and practically unexplored framework, where the availability of more sensitive and reliable measures could be...
Tallennettuna:
| Julkaisussa: | Entropy (Basel) |
|---|---|
| Päätekijät: | , , , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
MDPI
2018
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7512430/ https://ncbi.nlm.nih.gov/pubmed/33266595 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e20110871 |
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