• DocumentCode
    1308783
  • Title

    An Atrioventricular Node Model for Analysis of the Ventricular Response During Atrial Fibrillation

  • Author

    Corino, Valentina D a ; Sandberg, Frida ; Mainardi, Luca T. ; Sörnmo, Leif

  • Author_Institution
    Dept. of Bioeng., Politec. di Milano, Milan, Italy
  • Volume
    58
  • Issue
    12
  • fYear
    2011
  • Firstpage
    3386
  • Lastpage
    3395
  • Abstract
    This paper introduces a model of the atrioventricular node function during atrial fibrillation (AF), and describes the related ECG-based estimation method. The proposed model is defined by parameters that characterize the arrival rate of atrial impulses, the probability of an impulse choosing either one of the two atrioventricular nodal pathways, the refractory periods of these pathways, and the prolongation of the refractory periods. These parameters are estimated from the RR intervals using maximum likelihood estimation, except for the shorter refractory period which is estimated from the RR interval Poincaré plot, and the mean arrival rate of atrial impulses by the AF frequency. Simulations indicated that 200-300 RR intervals are generally needed for the estimates to be accurate. The model was evaluated on 30-min ECG segments from 36 AF patients. The results showed that 88% of the segments can be accurately modeled when the estimated probability density function (PDF) and an empirical PDF were at least 80% in agreement. The model parameters were estimated during head-up tilt test to assess differences caused by sympathetic stimulation. Both refractory periods decreased as a result of stimulation, and the likelihood of an impulse choosing the pathway with the shorter refractory period increased.
  • Keywords
    electrocardiography; maximum likelihood estimation; medical disorders; physiological models; probability; ECG based estimation method; RR interval Poincare plot; RR intervals; atrial fibrillation ventricular response analysis; atrial impulse arrival rate; atrioventricular nodal pathways; atrioventricular node function; atrioventricular node model; empirical PDF; maximum likelihood estimation; probability density function; refractory period prolongation; Computational modeling; Electrocardiography; Hidden Markov models; Histograms; Maximum likelihood estimation; Probability density function; Atrial fibrillation (AF); atrioventricular node; maximum likelihood (ML) estimation; statistical modeling; Atrial Fibrillation; Atrioventricular Node; Computer Simulation; Electrocardiography; Humans; Models, Cardiovascular; Models, Statistical; Signal Processing, Computer-Assisted; Tilt-Table Test;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2011.2166262
  • Filename
    6003765