Literature DB >> 16446158

Fetal heart rate monitoring based on independent component analysis.

Farshid Soheili Najafabadi1, Edmond Zahedi, Mohd Alauddin Mohd Ali.   

Abstract

In this paper, an algorithm based on independent component analysis (ICA) for extracting the fetal heart rate (FHR) from maternal abdominal electrodes is presented. Three abdominal ECG channels are used to extract the FHR in three steps: first preprocessing procedures such as DC cancellation and low-pass filtering are applied to remove noise. Then the algorithm for multiple unknown source extraction (AMUSE) algorithm is fed to extract the sources from the observation signals include fetal ECG (FECG). Finally, FHR is extracted from FECG. The method is shown to be capable of completely revealing FECG R-peaks from observation leads even with a SNR=-200dB using semi-synthetic data.

Mesh:

Year:  2006        PMID: 16446158     DOI: 10.1016/j.compbiomed.2004.11.004

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  4 in total

1.  Extracting sources from noisy abdominal phonograms: a single-channel blind source separation method.

Authors:  A Jiménez-González; C J James
Journal:  Med Biol Eng Comput       Date:  2009-03-20       Impact factor: 2.602

2.  Comparison of decomposition algorithms for identification of single motor units in ultrafast ultrasound image sequences of low force voluntary skeletal muscle contractions.

Authors:  Robin Rohlén; Jun Yu; Christer Grönlund
Journal:  BMC Res Notes       Date:  2022-06-15

3.  QRStree: A prefix tree-based model to fetal QRS complexes detection.

Authors:  Wei Zhong; Xuemei Guo; Guoli Wang
Journal:  PLoS One       Date:  2019-10-01       Impact factor: 3.240

4.  Comparative Effectiveness of ICA and PCA in Extraction of Fetal ECG From Abdominal Signals: Toward Non-invasive Fetal Monitoring.

Authors:  Radek Martinek; Radana Kahankova; Janusz Jezewski; Rene Jaros; Jitka Mohylova; Marcel Fajkus; Jan Nedoma; Petr Janku; Homer Nazeran
Journal:  Front Physiol       Date:  2018-05-30       Impact factor: 4.566

  4 in total

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