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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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Detalhes bibliográficos
Publicado no:Entropy (Basel)
Main Authors: Cuesta-Frau, David, Novák, Daniel, Burda, Vacláv, Molina-Picó, Antonio, Vargas, Borja, Mraz, Milos, Kavalkova, Petra, Benes, Marek, Haluzik, Martin
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI 2018
Assuntos:
Acesso em linha: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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