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Phase relationships between two or more interacting processes from one-dimensional time series. II. Application to

N B Janson1, A G Balanov, V S Anishchenko

  • 1Department of Physics, Lancaster University, Lancaster, LA1 4YB, United Kingdom.

Summary

This study applied a new method to analyze heart rate variability (HRV) data, detecting synchronization between cardiovascular processes. Findings reveal varying interaction strengths and model applicability in healthy individuals.

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