Computerised Cardiotocography Analysis for the Automated Detection of Fetal Compromise during Labour: A Review

被引：9

作者：

Mendis, Lochana ^{[1
]}

Palaniswami, Marimuthu ^{[1
]}

Brownfoot, Fiona ^{[2
]}

Keenan, Emerson ^{[1
,2
]}

机构：

[1] Univ Melbourne, Dept Elect & Elect Engn, Parkville, Vic 3010, Australia

[2] Univ Melbourne, Dept Obstet & Gynaecol, Obstet Diagnost & Therapeut Grp, Heidelberg, Vic 3084, Australia

来源：

BIOENGINEERING-BASEL | 2023年 / 10卷 / 09期

基金：

澳大利亚国家健康与医学研究理事会;

关键词：

fetal compromise; intrapartum fetal monitoring; cardiotocography; fetal heart rate; artificial intelligence;

D O I：

10.3390/bioengineering10091007

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

The measurement and analysis of fetal heart rate (FHR) and uterine contraction (UC) patterns, known as cardiotocography (CTG), is a key technology for detecting fetal compromise during labour. This technology is commonly used by clinicians to make decisions on the mode of delivery to minimise adverse outcomes. A range of computerised CTG analysis techniques have been proposed to overcome the limitations of manual clinician interpretation. While these automated techniques can potentially improve patient outcomes, their adoption into clinical practice remains limited. This review provides an overview of current FHR and UC monitoring technologies, public and private CTG datasets, pre-processing steps, and classification algorithms used in automated approaches for fetal compromise detection. It aims to highlight challenges inhibiting the translation of automated CTG analysis methods from research to clinical application and provide recommendations to overcome them.

引用

页数：28