Ordinal Patterns in Heartbeat Time Series: An Approach Using Multiscale Analysis
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,...
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2019 |
| País: | España |
| Institución: | Universidad Politécnica de Cartagena(UPCT) |
| Repositorio: | Repositorio Digital UPCT |
| OAI Identifier: | oai:repositorio.upct.es:10317/9514 |
| Acceso en línea: | http://hdl.handle.net/10317/9514 |
| Access Level: | acceso abierto |
| Palabra clave: | Ordinal patterns Multiscale analysis Heartbeat time series Rényi entropy Física Aplicada 22 Física |
| Sumario: | 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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