Continuous non-contact monitoring of neonatal activity.

ABSTRACT:

Purpose

Neonatal activity is an important physiological parameter in the neonatal intensive care unit (NICU). The degree of neonatal activity is associated with under and over-sedation and may also indicate the onset of disease. Activity may also cause motion noise on physiological signals leading to false readings of important parameters such as heart rate, respiratory rate or oxygen saturation or, in extreme cases, a failure to calculate the parameter at all. Here we report on a novel neonatal activity monitoring technology we have developed using a Random Forest machine learning algorithm trained on features extracted from a depth video stream from a commercially available depth sensing camera.

Methods

A cohort of twenty neonates took part in the study where depth informa

SUBMITTER: Addison PS 

PROVIDER: S-EPMC11853281 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature