Back to search

Article

Coordination-dynamics invariants from simultaneous vagus nerve electroneurogram and ECG: a Python pipeline applied to neonatal piglet endotoxaemia

2026-06-04

Abstract excerpt

HRV complexity metrics track the systemic cytokine response across mammalian inflammation models, but the dynamical mechanism translating molecular inflammation into HRV structure has remained unresolved, and no existing tool jointly extracts coordination-dynamics signatures from simultaneous vagus nerve electroneurogram (VENG) and ECG. We describe a modular open-source Python pipeline that (i) detects spectrally...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
d189aa39-18d1-5ade-9c46-730658296d39
DOI
10.64898/2026.06.01.728499
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Coordination-dynamics invariants from simultaneous vagus nerve electroneurogram and ECG: a Python pipeline applied to neonatal piglet endotoxaemiaDOI 10.64898/2026.06.01.728499
The Expanded Polyvagal Theory: A Systems-Based and Entropy-Oriented Interpretation of Autonomic RegulationSemantic proximity
Aberrant brain-heart coupling is associated with the severity and prognosis of hypoxic-ischemic brain injury after cardiac arrestSemantic proximity
The Tri-Electrical Axis: Integrating Heart, Brain, and Gut Electrophysiology in the Age of AISemantic proximity
T-World: A highly general computational model of a human ventricular myocyteSemantic proximity
Fetal Twin: a mechanistic computational model of fetal physiology for heart-rate-variability biomarker researchSemantic proximity
Brain-heart interactions are associated with mortality and acute encephalopathy in ICU patients with severe COVID-19Semantic proximity
Cardiovascular and Autonomic Phenotypes Reveal Distinct Mechanisms of Sepsis Decompensation via Deep LearningSemantic proximity
Physiology-Informed Digital Twin-AI Framework Predicts Pacing Therapy Response in HFpEFSemantic proximity
Development and Prospective Validation of Predictive Model for Early Hemodynamic Deterioration in Critical Care: A Multicenter StudySemantic proximity
Model-Driven Analysis of ECG Using Reinforcement LearningSemantic proximity
A unified Method for assessing the Observability of Dynamic Complex SystemsSemantic proximity
Can machine learning or deep learning discover novel signatures of illness in continuous cardiorespiratory monitoring data?Semantic proximity
Select a neighboring publication to make it the new centre.