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