Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/128442
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Type: Conference paper
Title: A method for estimating Pulse Wave Amplitude Variability in children with Sleep Disordered Breathing
Author: Liu, X.
Pamula, Y.
Kohler, M.
Baumert, M.
Citation: Proceedings: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019 / vol.2019, pp.2289-2292
Publisher: IEEE
Publisher Place: online
Issue Date: 2019
Series/Report no.: IEEE Engineering in Medicine and Biology Society Conference Proceedings
ISBN: 9781538613115
ISSN: 1557-170X
2694-0604
Conference Name: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (23 Jul 2019 - 27 Jul 2019 : Berlin, Germany)
Statement of
Responsibility: 
Xiao Liu, Yvonne Pamula, Mark Kohler, Mathias Baumert
Abstract: Sleep disordered breathing (SDB) is a common pediatric disorder, which results in increasing respiratory workload during sleep, restless night time sleep and excessive daytime sleepiness. It has significant negative effects on children with SDB on their physical growth and cognitive related developments. Chronic autonomic activation was suggested to be one of the possible key drivers causing cardiovascular structural changes in SDB children and increasing the risk of developing cardiovascular disease in their future. The aim of this study was to investigate the effect of SDB on autonomic activation changes in children, by analyzing the pulse wave amplitude (PWA) dynamics using a simple envelope estimation method extracting PWA from PPG signal.Children with SDB (n = 40) showed a significantly a wider dynamic distribution in PWA compare to matched controls (n = 40), which suggests a higher and stronger level of autonomic response in SDB children.In conclusion, the PWA dynamic is altered in children with SDB during sleep and indicate changes in autonomic activation.
Keywords: Market research; pediatrics; sleep apnea; estimation; Australia; pulse measurements
Rights: © IEEE
RMID: 1000013193
DOI: 10.1109/EMBC.2019.8856474
Grant ID: http://purl.org/au-research/grants/arc/DP0663345
Appears in Collections:Electrical and Electronic Engineering publications

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