Machine learning classification of EEG responses to pain-related vs non-pain-related stimulus in preterm infants.

ABSTRACT:

Introduction

Unmanaged pain in preterm infants can lead to long-term developmental consequences. Current pain assessment methods lack specificity, resulting in possible pain mismanagement in Neonatal Intensive Care Units (NICUs). This study explores the application of machine learning (ML) to differentiate between pain-related and non-pain-related cortical activity in preterm infants.

Objective

To evaluate the performance of ML models in distinguishing cortical EEG activity during a painful procedure in preterm infants across different postmenstrual ages (PMAs).

Methods

This observational study was conducted from June 2015 to May 2024 at Mount Sinai Hospital in Toronto, Canada, and University College London Hospital, United Kingdom. EEG data were collected from 72 pre

SUBMITTER: Hamwi L 

PROVIDER: S-EPMC12443153 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature