Computerized cardiotocography analysis during labor – A state‐of‐the‐art review
Abstract Cardiotocography is defined as the recording of fetal heart rate and uterine contractions and is widely used during labor as a screening tool to determine fetal wellbeing. The visual interpretation of the cardiotocography signals by the practitioners, following common guidelines, is subject...
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Wiley
2023-02-01
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| Series: | Acta Obstetricia et Gynecologica Scandinavica |
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| Online Access: | https://doi.org/10.1111/aogs.14498 |
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| author | Imane Ben M'Barek Grégoire Jauvion Pierre‐François Ceccaldi |
| author_facet | Imane Ben M'Barek Grégoire Jauvion Pierre‐François Ceccaldi |
| author_sort | Imane Ben M'Barek |
| collection | DOAJ |
| description | Abstract Cardiotocography is defined as the recording of fetal heart rate and uterine contractions and is widely used during labor as a screening tool to determine fetal wellbeing. The visual interpretation of the cardiotocography signals by the practitioners, following common guidelines, is subject to a high interobserver variability, and the efficiency of cardiotocography monitoring is still debated. Since the 1990s, researchers and practitioners work on designing reliable computer‐aided systems to assist practitioners in cardiotocography interpretation during labor. Several systems are integrated in the monitoring devices, mostly based on the guidelines, but they have not clearly demonstrated yet their usefulness. In the last decade, the availability of large clinical databases as well as the emergence of machine learning and deep learning methods in healthcare has led to a surge of studies applying those methods to cardiotocography signals analysis. The state‐of‐the‐art systems perform well to detect fetal hypoxia when evaluated on retrospective cohorts, but several challenges remain to be tackled before they can be used in clinical practice. First, the development and sharing of large, open and anonymized multicentric databases of perinatal and cardiotocography data during labor is required to build more accurate systems. Also, the systems must produce interpretable indicators along with the prediction of the risk of fetal hypoxia in order to be appropriated and trusted by practitioners. Finally, common standards should be built and agreed on to evaluate and compare those systems on retrospective cohorts and to validate their use in clinical practice. |
| format | Article |
| id | doaj-art-6089eeb4e4cc412381f9ad397bb4657b |
| institution | OA Journals |
| issn | 0001-6349 1600-0412 |
| language | English |
| publishDate | 2023-02-01 |
| publisher | Wiley |
| record_format | Article |
| series | Acta Obstetricia et Gynecologica Scandinavica |
| spelling | doaj-art-6089eeb4e4cc412381f9ad397bb4657b2025-08-20T02:09:29ZengWileyActa Obstetricia et Gynecologica Scandinavica0001-63491600-04122023-02-01102213013710.1111/aogs.14498Computerized cardiotocography analysis during labor – A state‐of‐the‐art reviewImane Ben M'Barek0Grégoire Jauvion1Pierre‐François Ceccaldi2Department of Obstetrics and Gynecology Assistance Publique Hôpitaux de Paris – Hôpital Beaujon Clichy La Garenne FranceGenos Care Paris FranceUniversité Paris Cité Paris FranceAbstract Cardiotocography is defined as the recording of fetal heart rate and uterine contractions and is widely used during labor as a screening tool to determine fetal wellbeing. The visual interpretation of the cardiotocography signals by the practitioners, following common guidelines, is subject to a high interobserver variability, and the efficiency of cardiotocography monitoring is still debated. Since the 1990s, researchers and practitioners work on designing reliable computer‐aided systems to assist practitioners in cardiotocography interpretation during labor. Several systems are integrated in the monitoring devices, mostly based on the guidelines, but they have not clearly demonstrated yet their usefulness. In the last decade, the availability of large clinical databases as well as the emergence of machine learning and deep learning methods in healthcare has led to a surge of studies applying those methods to cardiotocography signals analysis. The state‐of‐the‐art systems perform well to detect fetal hypoxia when evaluated on retrospective cohorts, but several challenges remain to be tackled before they can be used in clinical practice. First, the development and sharing of large, open and anonymized multicentric databases of perinatal and cardiotocography data during labor is required to build more accurate systems. Also, the systems must produce interpretable indicators along with the prediction of the risk of fetal hypoxia in order to be appropriated and trusted by practitioners. Finally, common standards should be built and agreed on to evaluate and compare those systems on retrospective cohorts and to validate their use in clinical practice.https://doi.org/10.1111/aogs.14498cardiotocography deep learningcardiotocography machine learningcomputerized cardiotocographyfetal heart rate monitoringfetal hypoxiaperinatal morbidity |
| spellingShingle | Imane Ben M'Barek Grégoire Jauvion Pierre‐François Ceccaldi Computerized cardiotocography analysis during labor – A state‐of‐the‐art review Acta Obstetricia et Gynecologica Scandinavica cardiotocography deep learning cardiotocography machine learning computerized cardiotocography fetal heart rate monitoring fetal hypoxia perinatal morbidity |
| title | Computerized cardiotocography analysis during labor – A state‐of‐the‐art review |
| title_full | Computerized cardiotocography analysis during labor – A state‐of‐the‐art review |
| title_fullStr | Computerized cardiotocography analysis during labor – A state‐of‐the‐art review |
| title_full_unstemmed | Computerized cardiotocography analysis during labor – A state‐of‐the‐art review |
| title_short | Computerized cardiotocography analysis during labor – A state‐of‐the‐art review |
| title_sort | computerized cardiotocography analysis during labor a state of the art review |
| topic | cardiotocography deep learning cardiotocography machine learning computerized cardiotocography fetal heart rate monitoring fetal hypoxia perinatal morbidity |
| url | https://doi.org/10.1111/aogs.14498 |
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