Ordinal Patterns in Heartbeat Time Series: An Approach Using Multiscale Analysis
Autor
Muñoz Guillermo, MaríaÁrea de conocimiento
Física AplicadaPatrocinadores
The author has been supported by the Grant MTM2017-84079-P from Agencia Estatal de Investigacion (AEI) y Fondo Europeo de Desarrollo Regional (FEDER). The author thanks anonymous reviewers for their helpful suggestions and comments that have contributed to improving and clarifying this manuscript.Realizado en/con
Universidad Politécnica de CartagenaFecha de publicación
2019-06-12Editorial
MDPICita bibliográfica
Muñoz-Guillermo M. Ordinal Patterns in Heartbeat Time Series: An Approach Using Multiscale Analysis. Entropy. 2019; 21(6):583. https://doi.org/10.3390/e21060583Revisión por pares
SiPalabras clave
Ordinal patternsMultiscale analysis
Heartbeat time series
Rényi entropy
Resumen
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. Renyi entropy and weighted Renyi 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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