Non-Adaptive Methods of Fetal ECG Signal Processing
Abdominal fetal ElectroCardioGrams (fECGs) carry a wealth of information about the fetus including fetal Heart Rate (fHR) and signal morphology during different stages of pregnancy. Here we report our results on the implementation and evaluation of two non-adaptive signal processing methods suitable...
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doaj-e915b3ee4da64893ada10954181b89202021-10-11T08:03:06ZengVSB-Technical University of OstravaAdvances in Electrical and Electronic Engineering1336-13761804-31192017-01-0115347649010.15598/aeee.v15i3.2196919Non-Adaptive Methods of Fetal ECG Signal ProcessingRadana Kahankova0Rene Jaros1Radek Martinek2Janusz Jezewski3He Wen4Michal Jezewski5Aleksandra Kawala-Janik6Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava, Czech RepublicDepartment of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava, Czech RepublicDepartment of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava, Czech RepublicInstitute of Medical Technology and Equipment ITAM, Roosevelt Street 118 , 41-800 Zabrze, PolandCollege of Electrical and Information Engineering, Hunan University, Lushan Road, Yuelu District, 410082 Changsha, Hunan Province, ChinaInstitute of Electronics, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Akademicka 2A, 44-100 Gliwice, PolandAutomatic Control and Informatics, Faculty of Electrical Engineering, Opole University of Technology, Proszkowska 76/1, 45-758 Opole, Poland & Department of Biomedical Engineering, College of Engineering, University of Kentucky, 43 Graham Avenue, 40508 Lexington, United States of AmericaAbdominal fetal ElectroCardioGrams (fECGs) carry a wealth of information about the fetus including fetal Heart Rate (fHR) and signal morphology during different stages of pregnancy. Here we report our results on the implementation and evaluation of two non-adaptive signal processing methods suitable for fECG signal extraction, namely: the Independent Component Analysis (ICA) and the Principal Component Analysis (PCA) Methods. We used the fetal heart rate extracted from fECG signals (in Beats Per Minute - BPM) and Signal-to-Noise Ratio (SNR) as effective performance evaluation metrics for our applied methods. Our findings demonstrated that given adequate SNR, these methods produced excellent results in accurate determination of fHR. Furthermore, we found out that compared to the PCA Method, the ICA Method produces a lower variance in the detection of the fHR.http://advances.utc.sk/index.php/AEEE/article/view/2196blind source separationecg extraction, fetal electrocardiogram (ecg)independent component analysisnon-adaptive filtrationnon-invasive fetal monitoringprincipal component analysis. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Radana Kahankova Rene Jaros Radek Martinek Janusz Jezewski He Wen Michal Jezewski Aleksandra Kawala-Janik |
spellingShingle |
Radana Kahankova Rene Jaros Radek Martinek Janusz Jezewski He Wen Michal Jezewski Aleksandra Kawala-Janik Non-Adaptive Methods of Fetal ECG Signal Processing Advances in Electrical and Electronic Engineering blind source separation ecg extraction, fetal electrocardiogram (ecg) independent component analysis non-adaptive filtration non-invasive fetal monitoring principal component analysis. |
author_facet |
Radana Kahankova Rene Jaros Radek Martinek Janusz Jezewski He Wen Michal Jezewski Aleksandra Kawala-Janik |
author_sort |
Radana Kahankova |
title |
Non-Adaptive Methods of Fetal ECG Signal Processing |
title_short |
Non-Adaptive Methods of Fetal ECG Signal Processing |
title_full |
Non-Adaptive Methods of Fetal ECG Signal Processing |
title_fullStr |
Non-Adaptive Methods of Fetal ECG Signal Processing |
title_full_unstemmed |
Non-Adaptive Methods of Fetal ECG Signal Processing |
title_sort |
non-adaptive methods of fetal ecg signal processing |
publisher |
VSB-Technical University of Ostrava |
series |
Advances in Electrical and Electronic Engineering |
issn |
1336-1376 1804-3119 |
publishDate |
2017-01-01 |
description |
Abdominal fetal ElectroCardioGrams (fECGs) carry a wealth of information about the fetus including fetal Heart Rate (fHR) and signal morphology during different stages of pregnancy. Here we report our results on the implementation and evaluation of two non-adaptive signal processing methods suitable for fECG signal extraction, namely: the Independent Component Analysis (ICA) and the Principal Component Analysis (PCA) Methods. We used the fetal heart rate extracted from fECG signals (in Beats Per Minute - BPM) and Signal-to-Noise Ratio (SNR) as effective performance evaluation metrics for our applied methods. Our findings demonstrated that given adequate SNR, these methods produced excellent results in accurate determination of fHR. Furthermore, we found out that compared to the PCA Method, the ICA Method produces a lower variance in the detection of the fHR. |
topic |
blind source separation ecg extraction, fetal electrocardiogram (ecg) independent component analysis non-adaptive filtration non-invasive fetal monitoring principal component analysis. |
url |
http://advances.utc.sk/index.php/AEEE/article/view/2196 |
work_keys_str_mv |
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1716828067858481152 |