Multiscale Simplicial Complex Entropy Analysis of Heartbeat Dynamics

The present study proposes a multiscale analysis of the simplicial complex approximate entropy (MS-SCAE) applied to cardiac interbeat series. The MS-SCAE method is based on quantifying the changes in the simplicial complex associated with the time series when a coarse-grained procedure is performed. Our findings are consistent with those of previously reported studies, which indicate that the complexity of healthy interbeat dynamics remains relatively stable over different scales. However, these dynamics undergo changes in the presence of certain cardiac pathologies, such as congestive heart failure and atrial fibrillation. The method we present here allows for effective differentiation between different dynamics and is robust in its ability to characterize both real and simulated sequences. This makes it a suitable candidate for application to a variety of complex signals.

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Publication Details

Journal
Entropy
Published
2025-04-25
DOI
https://doi.org/10.3390/e27050467
Citations
1
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
3.13

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article

Multiscale Simplicial Complex Entropy Analysis of Heartbeat Dynamics

Lev Guzmán-Vargas, Bibiana Obregón-Quintana, Álvaro Zabaleta-Ortega, Carlos Carrizales-Velazquez
1 citations
Entropy
Complex Systems and Time Series Analysis
3.13
article

Multiscale Simplicial Complex Entropy Analysis of Heartbeat Dynamics

Lev Guzmán-Vargas, Bibiana Obregón-Quintana, Álvaro Zabaleta-Ortega, Carlos Carrizales-Velazquez
article en
1 citations

Abstract

The present study proposes a multiscale analysis of the simplicial complex approximate entropy (MS-SCAE) applied to cardiac interbeat series. The MS-SCAE method is based on quantifying the changes in the simplicial complex associated with the time series when a coarse-grained procedure is performed. Our findings are consistent with those of previously reported studies, which indicate that the complexity of healthy interbeat dynamics remains relatively stable over different scales. However, these dynamics undergo changes in the presence of certain cardiac pathologies, such as congestive heart failure and atrial fibrillation. The method we present here allows for effective differentiation between different dynamics and is robust in its ability to characterize both real and simulated sequences. This makes it a suitable candidate for application to a variety of complex signals.

EntropyVol. 27(5)
Instituto Politécnico Nacional (MX), Universidad Nacional Autónoma de México (MX)
Comisión de Operación y Fomento de Actividades Académicas, Instituto Politécnico Nacional
Good health and well-being
Openalex Percentile: Top 9%
Complex Systems and Time Series Analysis
3.13
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Multiscale Simplicial Complex Entropy Analysis of Heartbeat Dynamics — Lev Guzmán-Vargas, Bibiana Obregón-Quintana, et al. · Entropy (2025) | TGRS Research Map | TGRS