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Related Experiment Videos

Temporal and spatial analysis of potential maps via multiresolution decompositions

D H Brooks1, R S MacLeod, R V Chary

  • 1ECE Department, Northeastern University, Boston, Massachusetts 02115, USA.

Journal of Electrocardiology
|January 1, 1996
PubMed
Summary

This study introduces wavelet-type transforms for analyzing cardiac electrical signals. This method offers a flexible alternative to traditional techniques for both spatial and temporal signal segmentation.

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Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Cardiology

Background:

  • Cardiac potential analysis typically uses spatial or temporal descriptors separately.
  • Existing methods like Karhunen-Loeve transform are global and data-dependent.
  • There is a need for methods combining spatial and temporal analysis effectively.

Purpose of the Study:

  • To explore multiresolution decompositions and wavelet-type transforms for cardiac signal analysis.
  • To provide a flexible alternative to global transform techniques.
  • To demonstrate the utility of wavelet transforms for temporal and spatial segmentation of cardiac mapping data.

Main Methods:

  • Application of multiresolution decompositions and wavelet-type transforms.
  • Analysis of both spatial distributions and temporal waveforms of cardiac potentials.

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  • Utilizing local, fixed databases for transformations.

    • Main Results:

    • Wavelet-type transforms enable flexible, local analysis of cardiac signals.
    • The method effectively combines spatial and temporal characteristics.
    • Demonstrated utility in segmenting and analyzing epicardial plaque and body surface potential mapping data.

    Conclusions:

    • Wavelet-type transforms offer a powerful and flexible approach for cardiac signal analysis.
    • This method enhances the combined temporal and spatial segmentation of cardiac mapping data.
    • The approach is particularly useful for analyzing data from interventions like percutaneous transluminal coronary angioplasty.