Unknown

Dataset Information

0

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


ABSTRACT: 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.

SUBMITTER: Mendis L 

PROVIDER: S-EPMC10525263 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature

altmetric image

Publications

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

Mendis Lochana L   Palaniswami Marimuthu M   Brownfoot Fiona F   Keenan Emerson E  

Bioengineering (Basel, Switzerland) 20230825 9


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  ...[more]

Similar Datasets

| S-EPMC5413601 | biostudies-literature
| S-EPMC8359372 | biostudies-literature
| S-EPMC9831024 | biostudies-literature
| S-EPMC11460220 | biostudies-literature
| S-EPMC10867373 | biostudies-literature
| S-EPMC9796294 | biostudies-literature
| S-EPMC6619817 | biostudies-literature
| S-EPMC11829506 | biostudies-literature
| S-EPMC7162483 | biostudies-literature
| S-EPMC9338067 | biostudies-literature