• DocumentCode
    1399674
  • Title

    Estimation of conduction velocity distribution by regularized-least-squares method

  • Author

    Tu, Y.X. ; Wernsdörfer, Andreas ; Honda, Satoshi ; Tomita, Yutaka

  • Author_Institution
    Dept. of Instrum. Eng., Keio Univ., Yokohama, Japan
  • Volume
    44
  • Issue
    11
  • fYear
    1997
  • Firstpage
    1102
  • Lastpage
    1106
  • Abstract
    A novel technique for estimating the distribution of the conduction velocity of peripheral nerve fibers is described in this paper. In order to overcome the sensitivity of present methods to noisy data, a regularized-least-squares (RLS) method with a smoothing constraint and a self-adaption of regularization parameter was adopted. The simulation results demonstrated that the improved technique maybe applied in clinical diagnosis because it yielded reliable and almost undistorted results even when the simulated data are severely contaminated by noise.
  • Keywords
    bioelectric potentials; least mean squares methods; medical signal processing; neurophysiology; velocity measurement; clinical diagnosis; conduction velocity distribution estimation; peripheral nerve fibers; regularization parameter self-adaption; regularized-least-squares method; reliable almost undistorted results; severely noise-contaminated data; simulation results; smoothing constraint; Associate members; Clinical diagnosis; Conductors; Diseases; Instruments; Iterative methods; Nerve fibers; Resonance light scattering; Smoothing methods; Wiener filter; Animals; Body Surface Potential Mapping; Cardiac Pacing, Artificial; Least-Squares Analysis; Models, Cardiovascular; Neural Conduction; Pericardium; Reference Values; Retrospective Studies; Swine; Ventricular Fibrillation;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.641337
  • Filename
    641337