Model Selection for Body Temperature Signal Classification Using Both Amplitude and Ordinality-Based Entropy Measures

Model Selection for Body Temperature Signal Classification Using Both Amplitude and Ordinality-Based Entropy Measures

Many entropy-related methods for signal classification have been proposed and exploited successfully in the last several decades. However, it is sometimes difficult to find the optimal measure and the optimal parameter configuration for a specific purpose or context. Suboptimal settings may therefor...

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Bibliographic Details
Main Authors: David Cuesta-Frau, Pau Miró-Martínez, Sandra Oltra-Crespo, Jorge Jordán-Núñez, Borja Vargas, Paula González, Manuel Varela-Entrecanales
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Entropy
Subjects:
permutation entropy
sample entropy
approximate entropy
logistic regression
body temperature
signal classification
Online Access:https://www.mdpi.com/1099-4300/20/11/853

Internet

https://www.mdpi.com/1099-4300/20/11/853

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