Quantifying Chaotic Behavior in Noisy Dynamical Systems: A Study on Heartbeat Dynamics

The proposed methodological framework provides a quantitative means for characterizing physiological dynamics in terms of regular versus chaotic patterns. Our findings demonstrate that HRV series is the output of a non-chaotic (regular) system driven by dynamical noise.

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Publication Details

Journal
IEEE Transactions on Biomedical Engineering
Published
2025-05-16
DOI
https://doi.org/10.1109/tbme.2025.3566470
Citations
2
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
6.26
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article

Quantifying Chaotic Behavior in Noisy Dynamical Systems: A Study on Heartbeat Dynamics

Claudio Bonanno, Gaetano Valenza, Andrea Scarciglia, Martina Bianco
2 citations
IEEE Transactions on Biomedical Engineering
Complex Systems and Time Series Analysis
6.26
article

Quantifying Chaotic Behavior in Noisy Dynamical Systems: A Study on Heartbeat Dynamics

Claudio Bonanno, Gaetano Valenza, Andrea Scarciglia, Martina Bianco
article en
2 citations

Abstract

The proposed methodological framework provides a quantitative means for characterizing physiological dynamics in terms of regular versus chaotic patterns. Our findings demonstrate that HRV series is the output of a non-chaotic (regular) system driven by dynamical noise.

IEEE Transactions on Biomedical EngineeringVol. 72(11)
University of Pisa (IT), Piaggio (Italy) (IT)
Reduced inequalities
Openalex Percentile: Top 4%
Complex Systems and Time Series Analysis
6.26
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