| The maternal ECG suppression algorithm for efficient extraction of the fetal ECG from abdominal signal. | |
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MedLine Citation:
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PMID: 17945757 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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At present, noninvasive recording of abdominal fetal electrocardiogram and analysis of the fetal heart rate variability seems to be the most promising method to detect the fetal hypoxia. The main problem is to obtain a good quality fetal ECG, which is strongly distorted by maternal component of dominating energy. The paper presents the new method of maternal electrocardiogram recognition and suppression relying on determination of template maternal PQRST complex and its subtraction during consecutive maternal cardiac cycles. The efficiency of the developed method was evaluated and related to three other selected methods for maternal ECG suppression using dedicated coefficients created for this comparison. |
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Authors:
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A Matonia; J Jezewski; K Horoba; A Gacek; P Labaj |
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Publication Detail:
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Type: Comparative Study; Journal Article; Research Support, Non-U.S. Gov't; Validation Studies |
Journal Detail:
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Title: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference Volume: 1 ISSN: 1557-170X ISO Abbreviation: Conf Proc IEEE Eng Med Biol Soc Publication Date: 2006 |
Date Detail:
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Created Date: 2007-10-23 Completed Date: 2008-03-13 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101243413 Medline TA: Conf Proc IEEE Eng Med Biol Soc Country: United States |
Other Details:
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Languages: eng Pagination: 3106-9 Citation Subset: IM |
Affiliation:
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Inst. of Med. Technol. & Equip., Zabrze, Poland. adamm@itam.zabrze.pl |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Abdomen Algorithms* Biomedical Engineering Electrocardiography / statistics & numerical data* Female Heart Rate, Fetal / physiology* Humans Pregnancy Signal Processing, Computer-Assisted |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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