DocumentCode :
3685275
Title :
Assessment of quality of ECG for accurate estimation of Heart Rate Variability in newborns
Author :
Shima Gholinezhadasnefestani;Andriy Temko;Nathan Stevenson;Geraldine Boylan;Gordon Lightbody;William Marnane
Author_Institution :
Department of Electrical and Electronic Engineering, Neonatal Brain Research Group and Irish Center for Fetal and Neonatal Translational Research (INFANT), University College Cork, Ireland
fYear :
2015
Firstpage :
5863
Lastpage :
5866
Abstract :
Heart Rate Variability has been recently used to determine the severity of Hypoxic Ischemic Encephalopathy in neonates. However, it was shown that ECG and subsequently Instantaneous Heart Rate can be heavily corrupted by artefacts which have to be manually removed. This work analyses a set of features to assess their sensitivity to normal and corrupted ECG in newborns. Specifically, the IHR signal is obtained by detecting R-Peaks using the Pan-Tompkins algorithm. Four features are extracted from both ECG and IHR signal using various temporal resolutions to discriminate normal and corrupted signal. The performance of these features in discrimination is then assessed using statistical tests.
Keywords :
"Electrocardiography","Feature extraction","Pediatrics","Heart rate variability","Standards","Electroencephalography","Reliability"
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
ISSN :
1094-687X
Electronic_ISBN :
1558-4615
Type :
conf
DOI :
10.1109/EMBC.2015.7319725
Filename :
7319725
Link To Document :
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