An Information System on Fetal Health Classification based on CNN and Hybrid - CNN with Dimensionality Reduction

Cardiotocography (CTG) is a method of monitoring fetal heart rate and uterine contractions during pregnancy. CTG is a methodology used to measure the fetal well-being in a pregnant woman. The objective of the paper is to reduce the fetal mortality. Data is being evaluated by applying pre-processing...

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Main Authors: Arun K., Phaneesh Sai, Prakash Reddy Surya, Sreeman Sai, Ghildiyal Yamini
Format: Article
Language:English
Published: EDP Sciences 2023-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/67/e3sconf_icmpc2023_01029.pdf
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author Arun K.
Phaneesh Sai
Prakash Reddy Surya
Sreeman Sai
Ghildiyal Yamini
author_facet Arun K.
Phaneesh Sai
Prakash Reddy Surya
Sreeman Sai
Ghildiyal Yamini
author_sort Arun K.
collection DOAJ
description Cardiotocography (CTG) is a method of monitoring fetal heart rate and uterine contractions during pregnancy. CTG is a methodology used to measure the fetal well-being in a pregnant woman. The objective of the paper is to reduce the fetal mortality. Data is being evaluated by applying pre-processing techniques, followed by Convolutional Neural Network (CNN) and dimensionality reduction using Principal Component Analysis (PCA). The approach adopted in the proposed method for detecting the fetal heart rate is evaluated using two methods, namely, conventional CNN and conventional CNN integrated with PCA. Using CNN algorithm around 77% has been achieved and CNN integrated with .PCA gave around 95% accuracy.
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spelling doaj.art-b8915179fb1c46c1b896e79df2cac2f72023-10-17T08:47:19ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014300102910.1051/e3sconf/202343001029e3sconf_icmpc2023_01029An Information System on Fetal Health Classification based on CNN and Hybrid - CNN with Dimensionality ReductionArun K.0Phaneesh Sai1Prakash Reddy Surya2Sreeman Sai3Ghildiyal Yamini4Department of CSE (AI & ML), GRIETDepartment of CSE (AI & ML), GRIETDepartment of CSE (AI & ML), GRIETDepartment of CSE (AI & ML), GRIETUttaranchal Institute of Technology, Uttaranchal UniversityCardiotocography (CTG) is a method of monitoring fetal heart rate and uterine contractions during pregnancy. CTG is a methodology used to measure the fetal well-being in a pregnant woman. The objective of the paper is to reduce the fetal mortality. Data is being evaluated by applying pre-processing techniques, followed by Convolutional Neural Network (CNN) and dimensionality reduction using Principal Component Analysis (PCA). The approach adopted in the proposed method for detecting the fetal heart rate is evaluated using two methods, namely, conventional CNN and conventional CNN integrated with PCA. Using CNN algorithm around 77% has been achieved and CNN integrated with .PCA gave around 95% accuracy.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/67/e3sconf_icmpc2023_01029.pdf
spellingShingle Arun K.
Phaneesh Sai
Prakash Reddy Surya
Sreeman Sai
Ghildiyal Yamini
An Information System on Fetal Health Classification based on CNN and Hybrid - CNN with Dimensionality Reduction
E3S Web of Conferences
title An Information System on Fetal Health Classification based on CNN and Hybrid - CNN with Dimensionality Reduction
title_full An Information System on Fetal Health Classification based on CNN and Hybrid - CNN with Dimensionality Reduction
title_fullStr An Information System on Fetal Health Classification based on CNN and Hybrid - CNN with Dimensionality Reduction
title_full_unstemmed An Information System on Fetal Health Classification based on CNN and Hybrid - CNN with Dimensionality Reduction
title_short An Information System on Fetal Health Classification based on CNN and Hybrid - CNN with Dimensionality Reduction
title_sort information system on fetal health classification based on cnn and hybrid cnn with dimensionality reduction
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/67/e3sconf_icmpc2023_01029.pdf
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