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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Detalles Bibliográficos
Autores principales: Cuesta-Frau, David, Novák, Daniel, Burda, Vacláv, Molina-Picó, Antonio, Vargas, Borja, Mraz, Milos, Kavalkova, Petra, Benes, Marek, Haluzik, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512430/
https://www.ncbi.nlm.nih.gov/pubmed/33266595
http://dx.doi.org/10.3390/e20110871

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512430/
https://www.ncbi.nlm.nih.gov/pubmed/33266595
http://dx.doi.org/10.3390/e20110871

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