Assessment of Quality of ECG for Accurate Estimation of Heart Rate Variability in Newborns

被引：0

作者：

Gholinezhadasnefestani, Shima ^{[1
,2
]}

Temko, Andriy ^{[1
,2
]}

Stevenson, Nathan ^{[3
,4
]}

Boylan, Geraldine ^{[3
,4
]}

Lightbody, Gordon ^{[1
,2
]}

Marnane, William ^{[1
,2
]}

机构：

[1] Natl Univ Ireland Univ Coll Cork, Dept Elect & Elect Engn, Neonatal Brain Res Grp, Cork, Ireland

[2] Natl Univ Ireland Univ Coll Cork, Irish Ctr Fetal & Neonatal Translat Res INFANT, Cork, Ireland

[3] Natl Univ Ireland Univ Coll Cork, Dept Pediat & Child Hlth, Neonatal Brain Res Grp, Cork, Ireland

[4] Natl Univ Ireland Univ Coll Cork, INFANT Ctr, Cork, Ireland

来源：

2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2015年

关键词：

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

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.

引用

页码：5863 / 5866

页数：4

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