• DocumentCode
    1213101
  • Title

    Moving Dipole Inverse ECG and EEG Solutions

  • Author

    Gulrajani, Ramesh M. ; Roberge, Fernand A. ; Savard, Pierre

  • Author_Institution
    Institut de Genie Biomedical, Ecole Polytechnique et Universitéde Montreal
  • Issue
    12
  • fYear
    1984
  • Firstpage
    903
  • Lastpage
    910
  • Abstract
    This paper reviews and updates the single moving dipole (SMD) and two moving dipole (TMD) inverse electrocardiographic and electroencephalographic solutions. These inverse solutions are particularly appropriate when the electrical activity of the heart or brain may be represented by one or two well-localized foci. They attempt to match the measured body surface or evoked scalp potentials to potentials generated on the surface of a model of the intervening volume conductor by one or two moving current dipoles, respectively. The two alternative methods of solution are discussed initially. The first is a direct least-squares error match of measured and model-generated surface potentials, the second an indirect solution based on the least-squares error match of the potentials due to equivalent multipole series representations of the real and model sources, respectively. Next, brief reviews of moving dipole inverse solutions in the EEG and ECG fields are presented. Simulation studies, as well as experimental and clinical studies in animals and humans, are described. The Discussion section summarizes the optimum solution approaches that should be used in clinical EEG and ECG studies in man. It also cautions against the temptation to translate the numerical adequacy of inverse SMD and TMD solutions into physiological validity, without independent knowledge as to the nature of the underlying sources.
  • Keywords
    Animals; Brain modeling; Conductors; Current measurement; Electrocardiography; Electroencephalography; Heart; Humans; Scalp; Volume measurement; Animals; Dogs; Electrocardiography; Electroencephalography; Humans; Mathematics; Models, Biological; Rabbits; Wolff-Parkinson-White Syndrome;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.1984.325257
  • Filename
    4121791