Jump to ContentJump to Main Navigation
Show Summary Details
More options …

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

See all formats and pricing
More options …
Volume 52, Issue 1


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


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.

Export Citation

Citing Articles

Here you can find all Crossref-listed publications in which this article is cited. If you would like to receive automatic email messages as soon as this article is cited in other publications, simply activate the “Citation Alert” on the top of this page.

Marjan Salmanvandi and Zahra Einalou
Biomedical Engineering: Applications, Basis and Communications, 2017, Volume 29, Number 06, Page 1750042
Janusz Jezewski, Janusz Wrobel, Adam Matonia, Krzysztof Horoba, Radek Martinek, Tomasz Kupka, and Michal Jezewski
Frontiers in Physiology, 2017, Volume 8
Joachim Behar, Fernando Andreotti, Sebastian Zaunseder, Julien Oster, and Gari D Clifford
Physiological Measurement, 2016, Volume 37, Number 5, Page R1
Li Su and Hau-Tieng Wu
Frontiers in Applied Mathematics and Statistics, 2017, Volume 3
Sheng-Yang Tsui, Chien-Sheng Liu, and Chii-Wann Lin
Biomedical Signal Processing and Control, 2017, Volume 32, Page 76
Huawen Yan, Hongxing Liu, Xiaolin Huang, Ying Zhao, Junfeng Si, and Tiebing Liu
BioMedical Engineering OnLine, 2014, Volume 13, Number 1, Page 163
Michael J Rooijakkers, Chiara Rabotti, S Guid Oei, and Massimo Mischi
Physiological Measurement, 2012, Volume 33, Number 7, Page 1135
Angela Agostinelli, Marla Grillo, Alessandra Biagini, Corrado Giuliani, Luca Burattini, Sandro Fioretti, Francesco Di Nardo, Stefano R. Giannubilo, Andrea Ciavattini, and Laura Burattini
Annals of Noninvasive Electrocardiology, 2015, Volume 20, Number 4, Page 303
Joachim Behar, Julien Oster, and Gari D Clifford
Physiological Measurement, 2014, Volume 35, Number 8, Page 1569
Jukka A Lipponen and Mika P Tarvainen
Physiological Measurement, 2014, Volume 35, Number 8, Page 1637
Joachim Behar, Alistair Johnson, Gari D. Clifford, and Julien Oster
Annals of Biomedical Engineering, 2014, Volume 42, Number 6, Page 1340
M. J. Rooijakkers, S. Song, C. Rabotti, S. G. Oei, J. W. M. Bergmans, E. Cantatore, and M. Mischi
Computational and Mathematical Methods in Medicine, 2014, Volume 2014, Page 1
D.J. Jagannath and A. Immanuel Selvakumar
Biomedical Signal Processing and Control, 2014, Volume 10, Page 224
Shuicai Wu, Yanni Shen, Zhuhuang Zhou, Lan Lin, Yanjun Zeng, and Xiaofeng Gao
Computers in Biology and Medicine, 2013, Volume 43, Number 10, Page 1622
C.H.L. Peters, J.O.E.H. van Laar, R. Vullings, S.G. Oei, and P.F.F. Wijn
Medical Engineering & Physics, 2012, Volume 34, Number 3, Page 333
G. Mihaela Ungureanu, Johannes W.M. Bergmans, S. Guid Oei, Alexandru Ungureanu, and Werner Wolf
Biomedizinische Technik/Biomedical Engineering, 2009, Volume 54, Number 2, Page 66
R Vullings, C H L Peters, M J M Hermans, P F F Wijn, S G Oei, and J W M Bergmans
Physiological Measurement, 2010, Volume 31, Number 7, Page 935
R Vullings, C H L Peters, R J Sluijter, M Mischi, S G Oei, and J W M Bergmans
Physiological Measurement, 2009, Volume 30, Number 3, Page 291

Comments (0)

Please log in or register to comment.
Log in