Prediction of cerebral blood volume change after resuscitation from hypoxic-ischemic insult for newborn piglets

TL;DR

This paper presents a mathematical model and Kalman filter-based method to predict cerebral blood volume changes after hypoxic-ischemic events in newborn piglets, aiding understanding of neonatal brain injury.

Contribution

It introduces a novel mathematical model combined with Kalman filtering to forecast CBV dynamics post-insult in neonatal hypoxic-ischemic encephalopathy.

Findings

Kalman filter accurately predicts CBV changes

Model captures temporal CBV behavior after hypoxia-ischemia

Potential for improved neonatal brain injury assessment

Abstract

Neonatal hypoxic-ischemic encephalopathy (HIE) is a significant cause of neonatal mortality and developmental disabilities. It has been revealed that the temporal behavior of the cerebral blood volume (CBV) carries information on the degree of hypoxia-ischemia. CBV can be estimated by means of near-infrared spectroscopy. The change of CBV after the insult is related to the change of CBV during the insult. In this paper, we consider a mathematical model which governs the time evolution of CBV after the insult. We show that the temporal behavior of CBV can be predicted with the Kalman filter which is based on the mathematical model.