Ordinal Patterns in Heartbeat Time Series: An Approach Using Multiscale Analysis
Departamento de Matemática Aplicada y Estadística, Universidad Politécnica de Cartagena, 30202 Cartagena, Spain
Entropy 2019, 21(6), 583; https://doi.org/10.3390/e21060583
Received: 17 May 2019
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Revised: 6 June 2019
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Accepted: 7 June 2019
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Published: 12 June 2019
(This article belongs to the Special Issue Theoretical Developments and Applications of Entropy and Ordinal Patterns)
In this paper, we simultaneously use two different scales in the analysis of ordinal patterns to measure the complexity of the dynamics of heartbeat time series. Rényi entropy and weighted Rényi entropy are the entropy-like measures proposed in the multiscale analysis in which, with the new scheme, four parameters are involved. First, the influence of the variation of the new parameters in the entropy values is analyzed when different groups of subjects (with cardiac diseases or healthy) are considered. Secondly, we exploit the introduction of multiscale analysis in order to detect differences between the groups.
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MDPI and ACS Style
Muñoz-Guillermo, M. Ordinal Patterns in Heartbeat Time Series: An Approach Using Multiscale Analysis. Entropy 2019, 21, 583. https://doi.org/10.3390/e21060583
AMA Style
Muñoz-Guillermo M. Ordinal Patterns in Heartbeat Time Series: An Approach Using Multiscale Analysis. Entropy. 2019; 21(6):583. https://doi.org/10.3390/e21060583
Chicago/Turabian StyleMuñoz-Guillermo, María. 2019. "Ordinal Patterns in Heartbeat Time Series: An Approach Using Multiscale Analysis" Entropy 21, no. 6: 583. https://doi.org/10.3390/e21060583
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