Non-Invasive Fetal Electrocardiogram Extraction Based on Novel Hybrid Method for Intrapartum ST Segment Analysis
This study focuses on non-invasive fetal electrocardiogram extraction based on a novel hybrid method, which combines the advantages of non-adaptive and adaptive approaches for non-invasive fetal electrocardiogram morphological analysis. Besides estimating fetal heart rate, which is the main paramete...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9352767/ |
| _version_ | 1818932223860015104 |
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| author | Radek Martinek Radana Kahankova Rene Jaros Katerina Barnova Adam Matonia Michal Jezewski Robert Czabanski Krzysztof Horoba Janusz Jezewski |
| author_facet | Radek Martinek Radana Kahankova Rene Jaros Katerina Barnova Adam Matonia Michal Jezewski Robert Czabanski Krzysztof Horoba Janusz Jezewski |
| author_sort | Radek Martinek |
| collection | DOAJ |
| description | This study focuses on non-invasive fetal electrocardiogram extraction based on a novel hybrid method, which combines the advantages of non-adaptive and adaptive approaches for non-invasive fetal electrocardiogram morphological analysis. Besides estimating fetal heart rate, which is the main parameter used in the clinical practice, this study provides non-invasive ST segment analysis on data from Abdominal and Direct Fetal Electrocardiogram Database consisting of simultaneous traditional - gold standard invasive fetal scalp electrode and non-invasive fetal electrocardiogram recorded during delivery. This innovative approach utilizing the combination of independent component analysis and recursive least squares algorithms has the potential to extract valuable information from non-invasive fetal electrocardiogram in order to identify eventual sign of fetal distress. This was a prospective observational study of non-invasive fetal electrocardiogram, using 4 abdominally sited electrodes, against the traditional fetal scalp electrode on 8 patients. In terms of fetal heart rate estimation, the accuracy was high for all 8 tested patients with average value equaled 0.20 beats per minute and average value of 1.96 standard deviation equaled 5.80 beats per minute. In 7 patients, it was possible to perform the ST segment analysis with high accuracy in determining T/QRS in comparison with the reference fetal scalp electrode signal with average values and 1.96 standard deviation equaled 0.008 and 0.031 respectively. This study thus demonstrates that ST segment analysis is feasible using non-invasive fECG using the proposed hybrid method. |
| first_indexed | 2024-12-20T04:29:05Z |
| format | Article |
| id | doaj.art-72e2f21860d541d8bcd2fa5932424344 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-20T04:29:05Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-72e2f21860d541d8bcd2fa59324243442022-12-21T19:53:26ZengIEEEIEEE Access2169-35362021-01-019286082863110.1109/ACCESS.2021.30587339352767Non-Invasive Fetal Electrocardiogram Extraction Based on Novel Hybrid Method for Intrapartum ST Segment AnalysisRadek Martinek0https://orcid.org/0000-0003-2054-143XRadana Kahankova1https://orcid.org/0000-0003-1555-9889Rene Jaros2https://orcid.org/0000-0003-3346-6467Katerina Barnova3https://orcid.org/0000-0001-5594-8294Adam Matonia4https://orcid.org/0000-0001-9629-3239Michal Jezewski5https://orcid.org/0000-0002-6026-0264Robert Czabanski6https://orcid.org/0000-0003-4737-2138Krzysztof Horoba7Janusz Jezewski8Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB—Technical University of Ostrava, Ostrava, Czech RepublicDepartment of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB—Technical University of Ostrava, Ostrava, Czech RepublicDepartment of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB—Technical University of Ostrava, Ostrava, Czech RepublicDepartment of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB—Technical University of Ostrava, Ostrava, Czech RepublicŁukasiewicz Research Network—Institute of Medical Technology and Equipment, Zabrze, PolandDepartment of Cybernetics, Nanotechnology and Data Processing, Silesian University of Technology, Gliwice, PolandDepartment of Cybernetics, Nanotechnology and Data Processing, Silesian University of Technology, Gliwice, PolandŁukasiewicz Research Network—Institute of Medical Technology and Equipment, Zabrze, PolandŁukasiewicz Research Network—Institute of Medical Technology and Equipment, Zabrze, PolandThis study focuses on non-invasive fetal electrocardiogram extraction based on a novel hybrid method, which combines the advantages of non-adaptive and adaptive approaches for non-invasive fetal electrocardiogram morphological analysis. Besides estimating fetal heart rate, which is the main parameter used in the clinical practice, this study provides non-invasive ST segment analysis on data from Abdominal and Direct Fetal Electrocardiogram Database consisting of simultaneous traditional - gold standard invasive fetal scalp electrode and non-invasive fetal electrocardiogram recorded during delivery. This innovative approach utilizing the combination of independent component analysis and recursive least squares algorithms has the potential to extract valuable information from non-invasive fetal electrocardiogram in order to identify eventual sign of fetal distress. This was a prospective observational study of non-invasive fetal electrocardiogram, using 4 abdominally sited electrodes, against the traditional fetal scalp electrode on 8 patients. In terms of fetal heart rate estimation, the accuracy was high for all 8 tested patients with average value equaled 0.20 beats per minute and average value of 1.96 standard deviation equaled 5.80 beats per minute. In 7 patients, it was possible to perform the ST segment analysis with high accuracy in determining T/QRS in comparison with the reference fetal scalp electrode signal with average values and 1.96 standard deviation equaled 0.008 and 0.031 respectively. This study thus demonstrates that ST segment analysis is feasible using non-invasive fECG using the proposed hybrid method.https://ieeexplore.ieee.org/document/9352767/Non-invasive fetal electrocardiography (NI-fECG)fetal heart rate (fHR)ST segment analysis (ST-analysis)hybrid method (HM)independent component analysis and recursive least squares (ICA-RLS)electronic fetal monitoring (EFM) |
| spellingShingle | Radek Martinek Radana Kahankova Rene Jaros Katerina Barnova Adam Matonia Michal Jezewski Robert Czabanski Krzysztof Horoba Janusz Jezewski Non-Invasive Fetal Electrocardiogram Extraction Based on Novel Hybrid Method for Intrapartum ST Segment Analysis IEEE Access Non-invasive fetal electrocardiography (NI-fECG) fetal heart rate (fHR) ST segment analysis (ST-analysis) hybrid method (HM) independent component analysis and recursive least squares (ICA-RLS) electronic fetal monitoring (EFM) |
| title | Non-Invasive Fetal Electrocardiogram Extraction Based on Novel Hybrid Method for Intrapartum ST Segment Analysis |
| title_full | Non-Invasive Fetal Electrocardiogram Extraction Based on Novel Hybrid Method for Intrapartum ST Segment Analysis |
| title_fullStr | Non-Invasive Fetal Electrocardiogram Extraction Based on Novel Hybrid Method for Intrapartum ST Segment Analysis |
| title_full_unstemmed | Non-Invasive Fetal Electrocardiogram Extraction Based on Novel Hybrid Method for Intrapartum ST Segment Analysis |
| title_short | Non-Invasive Fetal Electrocardiogram Extraction Based on Novel Hybrid Method for Intrapartum ST Segment Analysis |
| title_sort | non invasive fetal electrocardiogram extraction based on novel hybrid method for intrapartum st segment analysis |
| topic | Non-invasive fetal electrocardiography (NI-fECG) fetal heart rate (fHR) ST segment analysis (ST-analysis) hybrid method (HM) independent component analysis and recursive least squares (ICA-RLS) electronic fetal monitoring (EFM) |
| url | https://ieeexplore.ieee.org/document/9352767/ |
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