Feasibility Study of a New Method for Low-Complexity Fetal Movement Detection From Abdominal ECG Recordings
Fetal movement counting can provide valuable information on the fetal health, as a strong decrease in the number of movements can be seen as a precursor to fetal death. Typically, assessment of fetal health by fetal movement counting relies on the maternal perception of fetal activity. The percentag...
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| Vydáno v: | IEEE journal of biomedical and health informatics Ročník 20; číslo 5; s. 1361 - 1368 |
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| Hlavní autoři: | , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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United States
IEEE
01.09.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 2168-2194, 2168-2208, 2168-2208 |
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| Abstract | Fetal movement counting can provide valuable information on the fetal health, as a strong decrease in the number of movements can be seen as a precursor to fetal death. Typically, assessment of fetal health by fetal movement counting relies on the maternal perception of fetal activity. The percentage of detected movements is strongly subject dependent and with undivided attention of the mother varies between 37% and 88%. Various methods to assist in fetal movement detection exist based on a wide spectrum of measurement techniques. However, these are unsuitable for ambulatory or long-term observation. In this paper, a novel low-complexity method for fetal movement detection is presented based on amplitude and shape changes in the abdominally recorded fetal ECG. This method was compared to a state-of-the-art method from the literature. Using ultrasound-based movement annotations as ground truth, the presented method outperforms the state-of-the-art abdominal-ECG based method, with a sensitivity, specificity, and accuracy of 56%, 68%, and 63%, respectively. Additionally, a significant reduction in algorithm complexity is achieved, possibly enabling continuous ambulatory fetal movement detection and early detection of reduced fetal motility. |
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| AbstractList | Fetal movement counting can provide valuable information on the fetal health, as a strong decrease in the number of movements can be seen as a precursor to fetal death. Typically, assessment of fetal health by fetal movement counting relies on the maternal perception of fetal activity. The percentage of detected movements is strongly subject dependent and with undivided attention of the mother varies between 37% and 88%. Various methods to assist in fetal movement detection exist based on a wide spectrum of measurement techniques. However, these are unsuitable for ambulatory or long-term observation. In this paper, a novel low-complexity method for fetal movement detection is presented based on amplitude and shape changes in the abdominally recorded fetal ECG. This method was compared to a state-of-the-art method from the literature. Using ultrasound-based movement annotations as ground truth, the presented method outperforms the state-of-the-art abdominal-ECG based method, with a sensitivity, specificity, and accuracy of 56%, 68%, and 63%, respectively. Additionally, a significant reduction in algorithm complexity is achieved, possibly enabling continuous ambulatory fetal movement detection and early detection of reduced fetal motility. Fetal movement counting can provide valuable information on the fetal health, as a strong decrease in the number of movements can be seen as a precursor to fetal death. Typically, assessment of fetal health by fetal movement counting relies on the maternal perception of fetal activity. The percentage of detected movements is strongly subject dependent and with undivided attention of the mother varies between 37% and 88%. Various methods to assist in fetal movement detection exist based on a wide spectrum of measurement techniques. However, these are unsuitable for ambulatory or long-term observation. In this paper, a novel low-complexity method for fetal movement detection is presented based on amplitude and shape changes in the abdominally recorded fetal ECG. This method was compared to a state-of-the-art method from the literature. Using ultrasound-based movement annotations as ground truth, the presented method outperforms the state-of-the-art abdominal-ECG based method, with a sensitivity, specificity, and accuracy of 56%, 68%, and 63%, respectively. Additionally, a significant reduction in algorithm complexity is achieved, possibly enabling continuous ambulatory fetal movement detection and early detection of reduced fetal motility.Fetal movement counting can provide valuable information on the fetal health, as a strong decrease in the number of movements can be seen as a precursor to fetal death. Typically, assessment of fetal health by fetal movement counting relies on the maternal perception of fetal activity. The percentage of detected movements is strongly subject dependent and with undivided attention of the mother varies between 37% and 88%. Various methods to assist in fetal movement detection exist based on a wide spectrum of measurement techniques. However, these are unsuitable for ambulatory or long-term observation. In this paper, a novel low-complexity method for fetal movement detection is presented based on amplitude and shape changes in the abdominally recorded fetal ECG. This method was compared to a state-of-the-art method from the literature. Using ultrasound-based movement annotations as ground truth, the presented method outperforms the state-of-the-art abdominal-ECG based method, with a sensitivity, specificity, and accuracy of 56%, 68%, and 63%, respectively. Additionally, a significant reduction in algorithm complexity is achieved, possibly enabling continuous ambulatory fetal movement detection and early detection of reduced fetal motility. |
| Author | de Lau, H. Bergmans, J. W. M. Rooijakkers, M. J. Oei, S. G. Mischi, M. Rabotti, C. |
| Author_xml | – sequence: 1 givenname: M. J. surname: Rooijakkers fullname: Rooijakkers, M. J. email: m.j.rooijakkers@tue.nl organization: Faculty of Electrical Engineering, University of Technology Eindhoven, Eindhoven, AZ, The Netherlands – sequence: 2 givenname: C. surname: Rabotti fullname: Rabotti, C. email: c.rabotti@tue.nl organization: Faculty of Electrical Engineering, University of Technology Eindhoven, Eindhoven, AZ, The Netherlands – sequence: 3 givenname: H. surname: de Lau fullname: de Lau, H. email: h.delau@gmail.com organization: Perinatology and Obstetrics department, Máxima Medical Center, Veldhoven, DB, The Netherlands – sequence: 4 givenname: S. G. surname: Oei fullname: Oei, S. G. email: guidoei@outlook.com organization: Perinatology and Obstetrics department, Máxima Medical Center, Veldhoven, DB, The Netherlands – sequence: 5 givenname: J. W. M. surname: Bergmans fullname: Bergmans, J. W. M. email: j.w.m.bergmans@tue.nl organization: Faculty of Electrical Engineering, University of Technology Eindhoven, Eindhoven, AZ, The Netherlands – sequence: 6 givenname: M. surname: Mischi fullname: Mischi, M. email: m.mischi@tue.nl organization: Faculty of Electrical Engineering, University of Technology Eindhoven, Eindhoven, AZ, The Netherlands |
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| SubjectTerms | Abdomen - physiology Accuracy Algorithms Assessments Biomedical measurement Biomedical signal processing continuous ambulatory monitoring Electrocardiography Electrocardiography - methods Electrodes Feasibility Studies Female Fetal Monitoring - methods fetal movement Fetal Movement - physiology Ground truth Health Humans Measurement techniques Monitoring, Ambulatory - methods Motion perception Noise Perception Precursors Pregnancy Recording Reproducibility of Results Sensitivity Signal Processing, Computer-Assisted State of the art Ultrasonic imaging ultrasound |
| Title | Feasibility Study of a New Method for Low-Complexity Fetal Movement Detection From Abdominal ECG Recordings |
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