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Analysis of ECG from pole-zero models.

I S Murthy1, G S Prasad

  • 1Department of Electrical Engineering, Indian Institute of Science, Bangalore.

IEEE Transactions on Bio-Medical Engineering
|July 1, 1992
PubMed
Summary
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This study presents a novel system theory approach for electrocardiogram (ECG) analysis, accurately delineating component waves. The method reliably identifies ECG waves, offering a robust solution for signal analysis.

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Cardiology

Background:

  • Electrocardiogram (ECG) analysis is crucial for diagnosing cardiac conditions.
  • Accurate delineation of ECG component waves (P, QRS, T) is fundamental but challenging.
  • Existing methods may lack robustness or require complex procedures.

Purpose of the Study:

  • To develop a complete solution for ECG signal delineation using system theory.
  • To establish a robust and accurate method for identifying individual ECG waves.
  • To provide a system theoretic framework for ECG component wave analysis.

Main Methods:

  • Approximating the discrete cosine transform (DCT) of biphasic functions with pole-zero models.
  • Utilizing the Steiglitz-McBride method to derive pole-zero models from ECG DCT.

Related Experiment Videos

  • Decomposing models into partial fractions and recovering biphasic functions for wave delineation.

    • Main Results:

    • A one-to-one relationship was established between pole patterns and time-domain wave patterns.
    • The method accurately delineated P, T waves, and QRS complexes.
    • Continuous ECG strip analysis showed excellent qualitative and quantitative agreement with original waves.

    Conclusions:

    • The proposed system theoretic approach provides a complete solution for ECG wave delineation.
    • The method is robust against artifacts and independent of sampling rates.
    • This technique offers a reliable and efficient alternative for ECG signal analysis.