Key result
Camera-based HRV monitoring predicted postmenstrual age within ±2 weeks in 63.89% of infants and classified preterm/term infants with an accuracy of 0.90 and F1 score of 0.88.
Why the study?
HRV indicates neonatal autonomic nervous system maturity and acute diseases, but few studies have focused on camera-based HRV measurement in the Neonatal Intensive Care Unit.
Does camera-based HRV monitoring accurately estimate autonomic nervous system maturity in neonates compared to ECG and PPG?
Observational
Does camera-based HRV monitoring accurately estimate autonomic nervous system maturity in neonates compared to ECG and PPG?
Camera-based HRV monitoring is a feasible, contactless tool for tracking autonomic nervous system development and classifying preterm versus term infants in the NICU.
Camera-based neonatal HRV monitoring may be feasible in the NICU; leaves open validation in larger cohorts before clinical adoption.
Heart rate variability (HRV) can be used as an effective indicator for the maturity of the neonatal autonomic nervous system (ANS) and some acute neonatal diseases (e.g., respiratory distress syndrome and late-onset sepsis). Advances in contactless sensing technology have led to the rapid development of camera-based physiological monitoring, but few studies have focused on HRV measurement in the Neonatal Intensive Care Unit. This study aims to evaluate the performance of camera-based neonatal HRV monitoring (camera-HRV) using camera–photoplethysmography (PPG), and to further investigate the feasibility of applying camera-HRV for tracking ANS maturation through quantitative analysis of 12 HRV indices on quiet infants with limited motions. The clinical experimental results show that as the ANS of newborns matures, the trends of camera-HRV indices are consistent with those obtained by electrocardiogram (ECG) and PPG. Furthermore, the performance of camera-HRV in predicting the postmenstrual age of newborns is comparable to that obtained by ECG and PPG, which can predict 63.89% of infants with an accuracy of less than ±2 weeks. In particular, camera-HRV shows excellent performance in the classification of preterm/term infants, with an optimal accuracy of 0.90 and an F1 score of 0.88. The pilot clinical study suggests that camera-HRV can be a feasible tool for tracking the development of neonatal ANS.
No takes yet. Share an insight, caveat, or question.
Liao et al. (2024) conducted an observational in Neonatal autonomic nervous system maturity. Camera-based neonatal HRV monitoring (camera-HRV) vs. Electrocardiogram (ECG) and contact photoplethysmography (PPG) was evaluated on Prediction of postmenstrual age. Camera-based HRV monitoring predicted postmenstrual age within ±2 weeks in 63.89% of infants and classified preterm/term infants with an accuracy of 0.90 and F1 score of 0.88.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: