Network representation of cardiac interbeat intervals for monitoring restitution of autonomic control for heart transplant patients

TL;DR

This paper introduces a network-based method to graphically represent cardiac RR-interval time series, aiding in monitoring autonomic control restitution in heart transplant patients during recovery.

Contribution

It presents a novel network transition approach as a nonlinear tool for visualizing and analyzing heart rhythm changes in post-transplant patient follow-up.

Findings

Network representation effectively captures heart rhythm dynamics.

Method distinguishes different stages of autonomic control recovery.

Provides a visual tool for clinical monitoring.

Abstract

The aim is to present the ability of a network of transitions as a nonlinear tool providing a graphical representation of a time series. This representation is used for cardiac RR-intervals in follow-up observation of changes in heart rhythm of patients recovering after heart transplant.