Automated preterm infant sleep staging using capacitive electrocardiography

Werth, Jan; Serteyn, Aline; Andriessen, Peter; Aarts, Ronald M.; Long, Xi

doi:10.1088/1361-6579/ab1224

Cited by 13 publications

(25 citation statements)

References 27 publications

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“…In fact, capacitive electrodes have been extensively suggested for adult ECG measurements [6]- [9]. However, fECG measurement systems using capacitive electrodes have been rarely reported in the literature.…”

Section: Discussionmentioning

confidence: 99%

“…Capacitive electrodes enable ECG measurements through clothes, with signal quality comparable to that measured by contact wet electrodes [5]. Furthermore, it is easy to integrate capacitive electrodes into daily objects, such as a bed, a chair, a car seat, and even a neonatal incubator [6]- [9]. The main challenge in a capacitive ECG measurement system is the high sensitivity to motion artifacts (MAs) [10]- [12].…”

Section: Introductionmentioning

confidence: 99%

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Simulator of a Full Fetal Electrocardiogram Measurement Chain by Multichannel Capacitive Sensing

Rabotti

Zhang

et al. 2020

IEEE Trans. Instrum. Meas.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Simulator of a Full Fetal Electrocardiogram Measurement Chain by Multichannel Capacitive Sensing

Rabotti

Zhang

et al. 2020

IEEE Trans. Instrum. Meas.

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“…Lucchini et al (46) suggested that SE describes the preterm infants' ANS that directly links to sleep states. Werth et al (47) used it in preterm infant sleep research. Here, we explored the SE of a CRI network across different sleep states.…”

Section: Vg Analysismentioning

confidence: 99%

Characterizing cardiorespiratory interaction in preterm infants across sleep states using visibility graph analysis

Zhang

Long

et al. 2021

Journal of Applied Physiology

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Cardiorespiratory interaction (CRI) has been intensively studied in adult sleep, yet not in preterm infants, in particular across different sleep states including wake (W), active sleep (AS), and quiet sleep (QS). The aim of this study was to quantify the interaction between cardiac and respiratory activities in different sleep states of preterm infants. The postmenstrual age (PMA) of preterm infants was also taken into consideration. The CRI during sleep was analyzed using a visibility graph (VG) method, enabling the nonlinear analysis of CRI in a complex network. For each sleep state, parameters quantifying various aspects of the CRI characteristics from constructed VG network including mean degree (Dm) and its variability (Dsd), clustering coefficient (CCm) and its variability (CCsd), assortativity coefficient (AC) and complexity (DSE) were extracted from the CRI networks. The interaction effect of sleep state and PMA was found to be statistically significant on all CRI parameters but AC and DSE. The main effect between sleep state and CRI parameters was statistically significant except for CCm, and that between PMA and CRI parameters was statistically significant but DSE. In conclusion, the CRI of preterm infants is associated with sleep states and PMA in general. For preterm infants with a larger PMA, CRI has a more clustered pattern during different sleep states, where QS shows a more regular, stratified, and stronger CRI than other states. In the future, these parameters can be potentially used to separate sleep states in preterm infants.

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“…Moreover, if relying on big-data and the Internet, the HRV monitors could even be simple systems that monitor the babies, send information to a central hub (e.g., through the Cloud), and receive the corresponding elaboration, thus having the same efficiency of HRV monitors in high-income countries (Werth, 2019).…”

Section: Hrv Potential Usefulness In Middle-and Low-income Realitiesmentioning

confidence: 99%

Heart Rate Variability in the Perinatal Period: A Critical and Conceptual Review

Chiera¹,

Cerritelli²,

Casini³

et al. 2020

Front. Neurosci.

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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 they occur. While specific treatments are possible, they are often timeconsuming, invasive, or painful, with detrimental effects for the development of the infant. In the last 40 years, heart rate variability (HRV) has emerged as a noninvasive measurement to monitor newborns and infants, but it still is underused. Hence, the present paper aims to review the utility of HRV in neonatology and the instruments available to assess it, showing how HRV could be an innovative tool in the years to come. When continuously monitored, HRV could help assess the baby's overall wellbeing and neurological development to detect stress-/painrelated behaviors or pathological conditions, such as respiratory distress syndrome and hyperbilirubinemia, to address when to perform procedures to reduce the baby's stress/pain and interventions, such as therapeutic hypothermia, and to avoid severe complications, such as sepsis and necrotizing enterocolitis, thus reducing mortality. Based on literature and previous experiences, the first step to efficiently introduce HRV in the NICUs could consist in a monitoring system that uses photoplethysmography, which is low-cost and non-invasive, and displays one or a few metrics with good clinical utility. However, to fully harness HRV clinical potential and to greatly improve neonatal care, the monitoring systems will have to rely on modern bioinformatics (machine learning and artificial intelligence algorithms), which could easily integrate infant's HRV metrics, vital signs, and especially past history, thus elaborating models capable to efficiently monitor and predict the infant's clinical conditions. For this reason, hospitals and institutions will have to establish tight collaborations between the obstetric, neonatal, and pediatric departments: this way, healthcare would truly improve in every stage of the perinatal period (from conception to the first years of life), since information about patients' health would flow freely among different professionals, and high-quality research could be performed integrating the data recorded in those departments.

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Automated preterm infant sleep staging using capacitive electrocardiography

Cited by 13 publications

References 27 publications

Simulator of a Full Fetal Electrocardiogram Measurement Chain by Multichannel Capacitive Sensing

Simulator of a Full Fetal Electrocardiogram Measurement Chain by Multichannel Capacitive Sensing

Characterizing cardiorespiratory interaction in preterm infants across sleep states using visibility graph analysis

Heart Rate Variability in the Perinatal Period: A Critical and Conceptual Review

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