About this Research Topic
Neonates in an intensive care unit are complex systems that require meticulous attention to avoid life-threatening complications. These infants generate a myriad of physiological signals which can be monitored by clinicians to improve health outcomes. Advances in computer processing and miniaturization of hardware have led to an ever-increasing ability to extract dynamic information from the signals generated by the body. These signals can be electrical, mechanical, acoustic, magnetic, chemical, impedance or optical.
Digital conversion and real-time analysis of physiological signals in large data sets has already been shown to be helpful in detecting the early signs of disease. For example, abnormalities of heart rate variability have been used as a marker for neonatal sepsis and has been shown to reduce mortality due to earlier diagnosis and intervention. Amplitude integrated EEG allows an assessment of brain activity. Regional near-infrared spectroscopy gives measures of oxygen delivery in specific body areas, often kidneys or brain. Esophageal impedance monitoring is used to diagnose reflux. And the list continues to expand.
In this Research Topic we will present and discuss the cutting-edge of physiologic signal monitoring in neonatal intensive care. We will bring together a group of investigators who have evaluated and applied physiological signal monitoring to advance and improve the care of infants needing intensive care.
This Research Topic will cover the use of Physiological Signal Monitoring in Neonatal Intensive Care. We welcome review articles, original research articles and case reports/series. The topics should relate to the principles, instrumentation, data acquisition and processing, and clinical application on monitoring of pressures, frequencies, volumes, flows, oximetry, spectroscopy, electrical potentials, temperatures and various other signals assessed in NICU patients.
Keywords: Physiologic Signals, Neonatal Intensive Care, Digital Signal Processing
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