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The research aims to quantify nonlinear dynamics in heartbeat sequences using symbolic relative entropy to identify order-chaos boundaries.

August 9, 2026Open Access

Symbolic Relative Entropy Reveals Order-Chaos Boundaries in Heartbeat Sequences via Critical Divergences — E8 Intelligence Research

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Randomized trial reveals order-chaos boundaries in heartbeat sequences, indicating critical divergences in dynamics.

The research aims to quantify nonlinear dynamics in heartbeat sequences using symbolic relative entropy to identify order-chaos boundaries.
Utilized symbolic relative entropy and Kullback-Leibler divergence to analyze heartbeat sequences.
Applied mathematical concepts like Shannon entropy and logistic map bifurcation in data analysis.
Investigated critical markers and scaling ratios associated with the golden ratio.
Identified critical divergences corresponding to order-chaos boundaries in heartbeat sequences.
Found the golden ratio conjugate as a marker in scaling ratios.
Observed self-similarity in dynamics near specific critical values.

Andrew Stewart Caldin (2026) studied this question.

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