HR-DC State-Transition Dynamics

1. HR-DC State-Transition Dynamics predict Tilt SBP drop in humans (R2 = 0.62).

   “Excitation metrics predicted Tilt SBP drop (R2 = 0.62)”

   Humansn = 26

   State-Transition Dynamics in the HR--Deceleration Capacity Feature Space: Passive Assessment of Autonomic Dysfunction from 24-Hour Heart Rate

   medRxiv·22 Sep 2026Preprint

More on Tilt SBP drop

1. HR-DC State-Transition Dynamics predict Valsalva Ratio in humans (R2 = 0.58).

   “Relaxation metrics predicted Valsalva Ratio (R2 = 0.58)”

   Humansn = 26

   State-Transition Dynamics in the HR--Deceleration Capacity Feature Space: Passive Assessment of Autonomic Dysfunction from 24-Hour Heart Rate

   medRxiv·22 Sep 2026Preprint

More on Valsalva Ratio

1. HR-DC State-Transition Dynamics are associated with chronological age in humans (R2 = 0.33).

   “the metrics correlated with age (R2 = 0.33)”

   Humansn = 209

   State-Transition Dynamics in the HR--Deceleration Capacity Feature Space: Passive Assessment of Autonomic Dysfunction from 24-Hour Heart Rate

   medRxiv·22 Sep 2026Preprint

1. HR-DC State-Transition Dynamics predict pathological subjects in humans (AUC = 0.85).

   “In a six-group cross-sectional cohort (N = 209), an SVM distinguished healthy elderly from pathological subjects with AUC = 0.85”

   Humansn = 209

   State-Transition Dynamics in the HR--Deceleration Capacity Feature Space: Passive Assessment of Autonomic Dysfunction from 24-Hour Heart Rate

   medRxiv·22 Sep 2026Preprint