Ordinal Patterns in Heartbeat Time Series: An Approach Using Multiscale Analysis
MetadataShow full item record
AuthorMuñoz Guillermo, María
Knowledge AreaFísica Aplicada
SponsorsThe 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/conUniversidad Politécnica de Cartagena
Bibliographic CitationMuñoz-Guillermo M. Ordinal Patterns in Heartbeat Time Series: An Approach Using Multiscale Analysis. Entropy. 2019; 21(6):583. https://doi.org/10.3390/e21060583
Heartbeat time series
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.
- Artículos 
The following license files are associated with this item: