• DocumentCode
    1269108
  • Title

    The Laplacian inverse problem of electrocardiography: an eccentric spheres study

  • Author

    Johnston, Peter R.

  • Author_Institution
    Div. of Clinical Sci., Tasmania Univ., Hobart, Tas., Australia
  • Volume
    44
  • Issue
    7
  • fYear
    1997
  • fDate
    7/1/1997 12:00:00 AM
  • Firstpage
    539
  • Lastpage
    548
  • Abstract
    The eccentric spheres model of the heart-torso system is used to study the inverse problem of electrocardiography using measurements of the Laplacian of the body surface potential distribution. Electrical activity is simulated on the six main regions of the inner surface by considering a limited number of current dipoles placed within the inner sphere. The resulting outer surface potential and Laplacian distributions are then calculated in a forward sense. Varying amounts of random noise are added to these distributions before a zero-order Tikhonov regularization scheme is used to recover the inner surface potential distribution. Comparing the calculated and original inner surface distributions indicates that measurements of the outer surface Laplacian can more accurately reconstruct epicardial potentials than measurements of the outer surface potentials. These distributions are more accurate in that the extrema are placed very close to their original positions and are of nearly the same magnitude. Also, multiple extrema and high potential gradients are recovered.
  • Keywords
    Laplace equations; electrocardiography; inverse problems; physiological models; ECG inverse problem; Laplacian inverse problem; eccentric spheres study; electrodiagnostics; epicardial potentials reconstruction; heart-torso system; high potential gradients; inner surface distribution; multiple extrema; outer surface Laplacian; random noise; zero-order Tikhonov regularization scheme; Australia; Biomedical measurements; Electrocardiography; Electrodes; Heart; Humans; Inverse problems; Laplace equations; Surface reconstruction; Volume measurement; Artifacts; Body Surface Potential Mapping; Heart; Humans; Membrane Potentials; Models, Cardiovascular;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.594894
  • Filename
    594894