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Noninvasive Electrocardiography in the Perinatal Mouse
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Noninvasive fetal ECG extraction using doubly constrained block-term decomposition.

Iman Mousavian1, Mohammad Bagher Shamsollahi2, Emad Fatemizadeh2

  • 1Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.

Mathematical Biosciences and Engineering : MBE
|November 17, 2019
PubMed
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This study introduces a new algorithm using doubly constrained block-term (DoCoBT) tensor decomposition to extract fetal electrocardiogram (fECG) from abdominal signals. The method improves fetal health assessment, especially in noisy conditions.

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Maternal-Fetal Medicine

Background:

  • Fetal electrocardiogram (fECG) monitoring is crucial for assessing fetal health and diagnosing cardiac conditions during pregnancy.
  • Extracting fECG from maternal abdominal signals is challenging due to signal overlap and noise.
  • Existing matrix decomposition methods have limitations in separating complex signal sources.

Purpose of the Study:

  • To propose a novel algorithm for accurate fECG extraction from maternal abdominal signals.
  • To enhance the diagnosis of fetal cardiac conditions through improved signal separation.
  • To demonstrate the superiority of the proposed method in noisy environments.

Main Methods:

  • Development of a doubly constrained block-term (DoCoBT) tensor decomposition algorithm.
Keywords:
BT decompositionfECGsignal extractiontensor decomposition

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  • Incorporation of quasiperiodicity constraints for both fetal and maternal ECG signals.
  • Application of tensorization to abdominal signals for enhanced source separation.

    • Main Results:

    • The DoCoBT method effectively separates fetal, maternal, and noise signal subspaces.
    • Quantitative and qualitative analyses show improved fECG extraction performance compared to other methods.
    • The algorithm demonstrates robust performance even under noisy conditions.

    Conclusions:

    • DoCoBT tensor decomposition offers a powerful tool for fECG signal extraction.
    • The proposed method enhances the reliability of fetal health monitoring.
    • This technique holds significant potential for clinical applications in prenatal diagnostics.