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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...

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Dades bibliogràfiques
Publicat a:Entropy (Basel)
Autors principals: Cuesta-Frau, David, Novák, Daniel, Burda, Vacláv, Molina-Picó, Antonio, Vargas, Borja, Mraz, Milos, Kavalkova, Petra, Benes, Marek, Haluzik, Martin
Format: Artigo
Idioma:Inglês
Publicat: MDPI 2018
Matèries:
Accés en línia: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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