Identifying Heart Rate Characteristics of Sleep States of Preterm Infants Using Video Analysis
R. B. Govindan, Venkata Chaitanya Chirumamilla, Sarah B. Mulkey, Robin Baker, Adre du Plessis

TL;DR
This study uses video and ECG data to identify heart rate patterns in preterm infants during different sleep states.
Contribution
The study introduces a method to distinguish active and quiet sleep states in preterm infants using heart rate variability and video analysis.
Findings
Heart rate range can differentiate active sleep from quiet sleep with an area under the curve of 0.89.
Delta power in EEG is significantly higher during quiet sleep compared to active sleep.
Infants spent 38% of time in quiet sleep and 62% in active sleep.
Abstract
Objective is to identify changes in heart rate (HR) corresponding to different behavioral state of preterm infants determined through video analysis. Video electroencephalogram (EEG) and electrocardiogram (ECG) data were collected from infants. Videos were reviewed visually for active sleep (AS), and quiet sleep (QS) states. HR was calculated from the ECG, and its variability (range) was analyzed using a 30-second window with a 2-second sliding interval. HR ranges were compared between AS and QS using a receiver operator characteristic (ROC) analysis. To investigate the cortical correlates of these states, EEG data were analyzed for spectral power in the delta frequency band (0.5 – 4 Hz). The dependence of EEG metrics on sleep state was examined using linear mixed-effects models, with sex and postmenstrual age (PMA) at study included as covariates. This study included 69 infants born…
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Taxonomy
TopicsNon-Invasive Vital Sign Monitoring · Infant Health and Development · Neuroscience of respiration and sleep
