[HTML][HTML] Heart rate variability in the perinatal period: a critical and conceptual review
M Chiera, F Cerritelli, A Casini, N Barsotti… - Frontiers in …, 2020 - frontiersin.org
Neonatal intensive care units (NICUs) greatly expand the use of technology. There is a need
to accurately diagnose discomfort, pain, and complications, such as sepsis, mainly before …
to accurately diagnose discomfort, pain, and complications, such as sepsis, mainly before …
Vital signs as physiomarkers of neonatal sepsis
BA Sullivan, KD Fairchild - Pediatric research, 2022 - nature.com
Neonatal sepsis accounts for significant morbidity and mortality, particularly among
premature infants in the Neonatal Intensive Care Unit. Abnormal vital sign patterns serve as …
premature infants in the Neonatal Intensive Care Unit. Abnormal vital sign patterns serve as …
Skin-interfaced biosensors for advanced wireless physiological monitoring in neonatal and pediatric intensive-care units
Standard clinical care in neonatal and pediatric intensive-care units (NICUs and PICUs,
respectively) involves continuous monitoring of vital signs with hard-wired devices that …
respectively) involves continuous monitoring of vital signs with hard-wired devices that …
Predicting neonatal sepsis using features of heart rate variability, respiratory characteristics, and ECG-derived estimates of infant motion
This study in preterm infants was designed to characterize the prognostic potential of several
features of heart rate variability (HRV), respiration, and (infant) motion for the predictive …
features of heart rate variability (HRV), respiration, and (infant) motion for the predictive …
Cardiorespiratory signature of neonatal sepsis: development and validation of prediction models in 3 NICUs
Background Heart rate characteristics aid early detection of late-onset sepsis (LOS), but
respiratory data contain additional signatures of illness due to infection. Predictive models …
respiratory data contain additional signatures of illness due to infection. Predictive models …
[HTML][HTML] Prediction of late-onset sepsis in preterm infants using monitoring signals and machine learning
L Cabrera-Quiros, D Kommers, MK Wolvers… - Critical care …, 2021 - journals.lww.com
Objectives: Prediction of late-onset sepsis (onset beyond day 3 of life) in preterm infants,
based on multiple patient monitoring signals 24 hours before onset. Design: Continuous …
based on multiple patient monitoring signals 24 hours before onset. Design: Continuous …
[HTML][HTML] The impact of healthy pregnancy on features of heart rate variability and pulse wave morphology derived from wrist-worn photoplethysmography
Due to the association between dysfunctional maternal autonomic regulation and pregnancy
complications, tracking non-invasive features of autonomic regulation derived from wrist …
complications, tracking non-invasive features of autonomic regulation derived from wrist …
[HTML][HTML] Continuous sensing and quantification of body motion in infants: A systematic review
Abnormal body motion in infants may be associated with neurodevelopmental delay or
critical illness. In contrast to continuous patient monitoring of the basic vitals, the body …
critical illness. In contrast to continuous patient monitoring of the basic vitals, the body …
Deep learning approach for ECG-based automatic sleep state classification in preterm infants
Preterm infant neuronal development is related to the distribution of their sleep states. The
distribution changes throughout development. Automated sleep state monitoring can …
distribution changes throughout development. Automated sleep state monitoring can …
Noncontact neonatal respiration rate estimation using machine vision
DG Kyrollos, JB Tanner, K Greenwood… - 2021 IEEE Sensors …, 2021 - ieeexplore.ieee.org
Using video data of neonates admitted to the neonatal intensive care unit (NICU) we
developed and compared the performance of various techniques for noncontact respiration …
developed and compared the performance of various techniques for noncontact respiration …