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Noninvasive fetal ECG extraction using doubly constrained block-term decomposition

1 Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
2 Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran

Special Issues: Computer Methods and Programs in Prenatal Medicine

Fetal electrocardiogram (fECG) monitoring is a beneficial method for assessing fetal health and diagnosing the fetal cardiac condition during pregnancy. In this study, an algorithm is proposed to extract fECG from maternal abdominal signals based on doubly constrained block-term (DoCoBT) tensor decomposition. This tensor decomposition method is constrained by quasiperiodicity constraints of fetal and maternal ECG signals. Tensor decompositions are more powerful tools than matrix decomposition, due to employing more information for source separation. Tensorizing abdominal signals and using periodicity constraints of fetal and maternal ECG, appropriately separates subspaces of the mother, the fetus(es) and noise. The quantitative and qualitative results of the proposed method show improved performance of DoCoBT decomposition versus other tensor and matrix decomposition methods in noisy conditions.
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Keywords signal extraction; fECG; tensor decomposition; BT decomposition

Citation: Iman Mousavian, Mohammad Bagher Shamsollahi, Emad Fatemizadeh. Noninvasive fetal ECG extraction using doubly constrained block-term decomposition. Mathematical Biosciences and Engineering, 2020, 17(1): 144-159. doi: 10.3934/mbe.2020008

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This article has been cited by

  • 1. Aída Jiménez-González, Norma Castañeda-Villa, Blind extraction of fetal and maternal components from the abdominal electrocardiogram: An ICA implementation for low-dimensional recordings, Biomedical Signal Processing and Control, 2020, 58, 101836, 10.1016/j.bspc.2019.101836

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