Log in to save to my catalogue

An Optimized Single Layer Perceptron-based Approach for Cardiotocography Data Classification

An Optimized Single Layer Perceptron-based Approach for Cardiotocography Data Classification

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2740752596

An Optimized Single Layer Perceptron-based Approach for Cardiotocography Data Classification

About this item

Full title

An Optimized Single Layer Perceptron-based Approach for Cardiotocography Data Classification

Author / Creator

Publisher

West Yorkshire: Science and Information (SAI) Organization Limited

Journal title

International journal of advanced computer science & applications, 2022, Vol.13 (10)

Language

English

Formats

Publication information

Publisher

West Yorkshire: Science and Information (SAI) Organization Limited

More information

Scope and Contents

Contents

Uterine Contractions (UC) and Fetal Heart Rate (FHR) are the most common techniques for evaluating fetal and maternal assessment during pregnancy and detecting the changes in fetal oxygenation occurred throughout labor. By monitoring the Cardiotocography (CTG) patterns, doctors can measure fetus state, accelerations, heart rate, and uterine contrac...

Alternative Titles

Full title

An Optimized Single Layer Perceptron-based Approach for Cardiotocography Data Classification

Authors, Artists and Contributors

Author / Creator

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2740752596

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2740752596

Other Identifiers

ISSN

2158-107X

E-ISSN

2156-5570

DOI

10.14569/IJACSA.2022.0131030

How to access this item