1 40 1 Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Citation List Month November 2017 List Notes <p>1361-6579<br />Huvanandana, J<br />Thamrin, C<br />Tracy, M B<br />Hinder, M<br />Nguyen, C D<br />McEwan, A L<br />Journal Article<br />England<br />Physiol Meas. 2017 Sep 21;38(10):R253-R279. doi: 10.1088/1361-6579/aa8a13.</p> URL Address <a href="http://iopscience.iop.org/article/10.1088/1361-6579/aa8a13/meta;jsessionid=18B5F953FACD4016465A1D65FD8DAE0E.ip-10-40-1-105" target="_blank" rel="noreferrer">http://iopscience.iop.org/article/10.1088/1361-6579/aa8a13/meta;jsessionid=18B5F953FACD4016465A1D65FD8DAE0E.ip-10-40-1-105</a> Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Advanced analyses of physiological signals in the neonatal intensive care unit Publisher An entity responsible for making the resource available Physiological Measurement Date A point or period of time associated with an event in the lifecycle of the resource 2017 Creator An entity primarily responsible for making the resource Huvanandana J; Thamrin C; Tracy MB; Hinder M; Nguyen CD; McEwan AL Description An account of the resource Management and monitoring of infants within the neonatal intensive care unit represents a unique challenge. It involves an array of life-threatening diseases, procedures with potentially lifelong impacts, co-morbidities associated with preterm birth and risk of infection from prolonged exposure to the hospital environment. With the integration of monitoring systems and increasing accessibility of high-resolution data, there is a growing interest in the utility of advanced data analyses in predictive monitoring and characterising patterns of disease. Such analyses may offer an opportunity to identify infants at high risk of certain conditions and to detect the onset of disease prior to manifestation of clinical signs. This allows caregivers more time to respond and mitigate any abnormal or potentially fatal changes. We review techniques for variability analysis as they have been or have the potential to be applied to neonatal intensive care, the disease conditions in which they have been tested, and technical as well as clinical challenges relevant to their application. Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1088/1361-6579/aa8a13" target="_blank" rel="noreferrer">10.1088/1361-6579/aa8a13</a> Rights Information about rights held in and over the resource Article information provided for research and reference use only. PedPalASCNET does not hold any rights over the resource listed here. All rights are retained by the journal listed under publisher and/or the creator(s). 2017 Hinder M Huvanandana J McEwan AL Nguyen CD November 2017 List Physiological Measurement Thamrin C Tracy MB