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Biomedical Engineering / Biomedizinische Technik

Joint Journal of the German Society for Biomedical Engineering in VDE and the Austrian and Swiss Societies for Biomedical Engineering and the German Society of Biomaterials

Editor-in-Chief: Dössel, Olaf

Editorial Board: Augat, Peter / Habibović, Pamela / Haueisen, Jens / Jahnen-Dechent, Wilhelm / Jockenhoevel, Stefan / Knaup-Gregori, Petra / Lenarz, Thomas / Leonhardt, Steffen / Plank, Gernot / Radermacher, Klaus M. / Schkommodau, Erik / Stieglitz, Thomas / Boenick, Ulrich / Jaramaz, Branislav / Kraft, Marc / Lenthe, Harry / Lo, Benny / Mainardi, Luca / Micera, Silvestro / Penzel, Thomas / Robitzki, Andrea A. / Schaeffter, Tobias / Snedeker, Jess G. / Sörnmo, Leif / Sugano, Nobuhiko / Werner, Jürgen /

6 Issues per year


IMPACT FACTOR 2017: 1.096
5-year IMPACT FACTOR: 1.492

CiteScore 2017: 0.48

SCImago Journal Rank (SJR) 2017: 0.202
Source Normalized Impact per Paper (SNIP) 2017: 0.356

Online
ISSN
1862-278X
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Volume 52, Issue 1

Issues

Volume 57 (2012)

Fetal ECG extraction during labor using an adaptive maternal beat subtraction technique

Mihaela Ungureanu
  • Institut für Mathematik und Datenverarbeitung, Universität der Bundeswehr München, Neubiberg, Germany
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Johannes W.M. Bergmans / Swan Guid Oei
  • Department of Gynecology and Obstetrics, Máxima Medisch Centrum Firma, Veldhoven, The Netherlands
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Rodica Strungaru
  • Applied Electronics and Information Engineering Department, Politehnica University of Bucharest, Romania
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2007-02-22 | DOI: https://doi.org/10.1515/BMT.2007.011

Abstract

Fetal ECG (FECG) monitoring using abdominal maternal signals is a non-invasive technique that allows early detection of changes in fetal wellbeing. Several other signal components have stronger energy than the FECG, the most important being maternal ECG (MECG) and, especially during labor, uterine EMG. This study proposes a new method to subtract MECG after detecting and removing abdominal signal segments with high-amplitude variations due to uterine contractions. The method removes MECG from abdominal signals using an approximation of the current MECG segment based on a linear combination of previous MECG segments aligned on the R-peak. The coefficients of the linear model are computed so that the squared error of the approximation over the whole current segment is minimized. Abdominal signal segments strongly affected by uterine contractions are detected by applying median filtering. The methods proposed are tested on real abdominal data recorded during labor, with FECG recorded using scalp electrodes synchronously recorded for comparison.

Keywords: adaptive subtraction; fetal ECG; linear modeling; noise removal

About the article

Corresponding author: Mihaela Ungureanu, Applied Electronics and Information Engineering Department, Politehnica University of Bucharest, 061071, Romania Phone: +40-21-4114429 Fax: +40-21-2243654


Published Online: 2007-02-22

Published in Print: 2007-02-01


Citation Information: Biomedizinische Technik, Volume 52, Issue 1, Pages 56–60, ISSN (Online) 1862-278X, ISSN (Print) 0013-5585, DOI: https://doi.org/10.1515/BMT.2007.011.

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