• DocumentCode
    760453
  • Title

    Multifractal ECG Mapping of Ventricular Epicardium During Regional Ischemia in the Pig

  • Author

    Ying Chen ; Nash, M.P. ; Xinbao Ning ; Yelin Wang ; Paterson, D.J. ; Jun Wang

  • Author_Institution
    Dept. of Electron. Sci. & Eng., Nanjing Univ.
  • Volume
    53
  • Issue
    10
  • fYear
    2006
  • Firstpage
    1920
  • Lastpage
    1925
  • Abstract
    Myocardial ischemia creates abnormal electrophysiological substrates that can result in life-threatening ventricular arrhythmias. Early clinical identification of ischemia in patients is important to managing their condition. We analyzed electrograms from an ischemia-reperfusion animal model in order to investigate the relationship between myocardial ischemia and variability of electrocardiogram (ECG) multifractality. Ventricular epicardial electropotential maps from the anesthetized pig during LAD ischemia-reperfusion were analyzed using multifractal methods. A new parameter called the singularity spectrum area reference dispersion (SARD) is presented to represent the temporal evolution of multifractality. By contrasting the ventricular epicardial SARD and range of singularity strength (Deltaalpha) maps against activation-recovery interval (ARI) maps, we found that the dispersions of SARD and Deltaalpha increased following the onset of ischemia and decreased with tissue recovery. In addition, steep spatial gradients of SARD and Deltaalpha corresponded to locations of ischemia, although the distribution of multifractality did not reflect the degree of myocardial ischemia. However, the multifractality of the ventricular epicardial electrograms was useful for classifying the recoverability of ischemic tissue. Myocardial ischemia significantly influenced the multifractality of ventricular electrical activity. Recoverability of ischemic myocardium can be classified using the multifractality of ventricular epicardial electrograms. The location and size of regions of severe ischemic myocardium with poor recoverability is detectable using these methods
  • Keywords
    bioelectric potentials; biological tissues; electrocardiography; fractals; haemorheology; LAD ischemia-reperfusion; abnormal electrophysiological substrates; activation-recovery interval maps; anesthetized pig; electrocardiogram multifractality; electrograms; ischemia-reperfusion animal model; life-threatening ventricular arrhythmias; multifractal ECG mapping; myocardial ischemia; regional ischemia; singularity spectrum area reference dispersion; singularity strength maps; tissue recovery; ventricular electrical activity; ventricular epicardial electropotential maps; ventricular epicardium; Anatomy; Animals; Biomedical engineering; Cardiac disease; Electrocardiography; Fractals; Genetics; Ischemic pain; Myocardium; Physiology; Electrocardiography; ischemia; mapping; multifractality; nonlinearity; potentials; Animals; Body Surface Potential Mapping; Diagnosis, Computer-Assisted; Electrocardiography; Fractals; Heart Conduction System; Heart Ventricles; Myocardial Ischemia; Pericardium; Swine;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2006.873557
  • Filename
    1703742