Turkish Journal of Computer and Mathematics Education
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Journal

Turkish Journal of Computer and Mathematics Education


Volume
& Issue

Volume 10, Issue 1


Published
on


Pages

638-644


DOI

Article

Application of SVM Algorithm for Fetal ECG Extraction from a Single Maternal Abdominal Record

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Authors

Himani Sivaraman Affiliation:
Department of Computer Science & Information Technology, Graphic Era Hill University, Dehradun Uttarakhand India 248002


Abstract

The electrical activity of the foetal cardiac muscles is known as foetal ECG (FECG), and it can provide crucial details on the health of the fetus's heart. A pregnant woman's belly can be used to non-invasively capture this signal during pregnancy. However, since additional sources of noise, including the maternal ECG generally overpower the FECG recording, it would be ineffective. However, a clean FECG may be retrieved from the abdominal recording if it is correctly processed, and FECG can be used to evaluate the functioning of the foetal heart. In order to extract foetal electrocardiogram (ECG) from a single abdomen record, a unique two-tier approach is presented in this work. The abdominal signal is processed through a smoothing filter in the first layer of the proposed approach in order to determine the maternal ECG's estimated value. Findings on synthetic and actual abdominal ECG data demonstrate that the intended technique can extract foetal ECG with signal quality equivalent or superior to that retrieved by multichannel based mechanisms. The anticipated maternal ECG is then nonlinearly matched with the abdominal signal through polynomial networks.


Keywords

Foetal Cardiac Muscles, FECG Recording, electrical Activity, Polynomial Network, Abdominal Signal


Citation

Sivaraman, H. (2019). Application of SVM algorithm for fetal ECG extraction from a single maternal abdominal record. Turkish Journal of Computer and Mathematics Education, 10(1), 638–644. https://doi.org/10.17762/turcomat.v10i1.13560

Published by: Engineering Journals

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