• DocumentCode
    1284606
  • Title

    Fetal ECG extraction from single-channel maternal ECG using singular value decomposition

  • Author

    Kanjilal, Partha Pratim ; Palit, Sarbani ; Saha, Goutam

  • Author_Institution
    Dept. of Electron. & Electr. Commun. Eng., Indian Inst. of Technol., Kharagpur, India
  • Volume
    44
  • Issue
    1
  • fYear
    1997
  • Firstpage
    51
  • Lastpage
    59
  • Abstract
    The extraction of fetal electrocardiogram (ECG) from the composite maternal ECG signal obtained from the abdominal lead is discussed. The proposed method employs singular value decomposition (SVD) and analysis based on the singular value ratio (SVR) spectrum. The maternal ECG (M-ECG) and the fetal ECG (F-ECG) components are identified in terms of the SV-decomposed modes of the appropriately configured data matrices, and elimination of the M-ECG and determination of F-ECG are achieved through selective separation of the SV-decomposed components. The unique feature of the method is that only one composite maternal ECG signal is required to determine the P-ECG component. The method is numerically robust and computationally efficient.
  • Keywords
    electrocardiography; medical signal processing; singular value decomposition; spectral analysis; abdominal lead; appropriately configured data matrices; composite maternal ECG signal; computationally efficient method; fetal ECG extraction; numerically robust method; single-channel maternal ECG; singular value ratio spectrum; Abdomen; Adaptive filters; Cardiography; Electrocardiography; Matrix decomposition; Noise cancellation; Robustness; Signal processing; Singular value decomposition; Spectral analysis; Artifacts; Electrocardiography; Electrodes; Female; Fetal Heart; Humans; Monte Carlo Method; Pregnancy; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.553712
  • Filename
    553712