• DocumentCode
    3596841
  • Title

    Analysis of the spatial resolution of body-surface dominant-frequency mapping systems

  • Author

    Requena-Carrion, J. ; Vaisanen, J. ; Beltran-Molina, F.A.

  • Author_Institution
    Univ. Rey Juan Carlos, Madrid, Spain
  • fYear
    2012
  • Firstpage
    345
  • Lastpage
    348
  • Abstract
    In this study we assess the ability of high-density body-surface lead systems to resolve local dominant-frequency (DF) values. In a detailed numerical model of the human thorax, we calculate the measurement sensitivity distribution (MSD) of the 117 unipolar leads of a Dalhousie lead system. Based on the MSD, we compute the lead equivalent volume (LEV) of each unipolar lead and use it to quantify the lead spatial resolution (SR). Anterior leads positioned in columns 4-6 and rows 3-5 of the Dalhousie system have the lowest LEV values (2.4% <; LEV <; 7%) and concentrate their sensitivity mostly in the right myocardium. Higher LEV values are achieved at posterior locations (LEV >; 11%). Optimal lead positioning can increase the resolution of local DF values. However, the ability to resolve local DF values in selected regions is limited by the intrinsic MSD of body-surface leads. Our results indicate that further signal processing stages are needed to improve the SR of body-surface DF maps.
  • Keywords
    biomedical measurement; cardiology; medical disorders; numerical analysis; physiological models; Dalhousie lead system; body-surface dominant-frequency mapping systems; body-surface leads; high LEV values; high-density body-surface lead systems; human thorax; local DF values; local dominant-frequency values; low LEV values; measurement sensitivity distribution; numerical model; optimal lead positioning; right myocardium; signal processing stages; spatial resolution; spatial resolution analysis; Electrocardiography; Electrodes; Humans; Myocardium; Sensitivity; Spatial resolution; Torso;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing in Cardiology (CinC), 2012
  • ISSN
    2325-8861
  • Print_ISBN
    978-1-4673-2076-4
  • Type

    conf

  • Filename
    6420401