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Open AccessArticle

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 / Revised: 6 June 2019 / Accepted: 7 June 2019 / Published: 12 June 2019
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. View Full-Text
Keywords: ordinal patterns; multiscale analysis; heartbeat time series; rényi entropy ordinal patterns; multiscale analysis; heartbeat time series; rényi entropy
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Muñoz-Guillermo, M. Ordinal Patterns in Heartbeat Time Series: An Approach Using Multiscale Analysis. Entropy 2019, 21, 583.

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