• DocumentCode
    561747
  • Title

    Model-based analysis of the ventricular response during atrial fibrillation

  • Author

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

  • Author_Institution
    Dept. of Electr. & Inf. Technol., Lund Univ., Lund, Sweden
  • fYear
    2011
  • fDate
    18-21 Sept. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    We study a model of the atrioventricular node function during atrial fibrillation (AF), for which the model parameters can be estimated from the ECG. The proposed model is defined by parameters which 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. The parameters are estimated from the RR intervals using maximum likelihood estimation, except for the shorter refractory period which is estimated from the RR interval Poincare plot, and the mean arrival rate of atrial impulses by the AF frequency estimated from the ECG. 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.
  • Keywords
    electrocardiography; maximum likelihood estimation; medical signal processing; probability; ECG; atrial fibrillation; atrial impulse; atrioventricular node function; impulse probability; interval Poincare plot; maximum likelihood estimation; mean arrival rate; model parameter estimation; model-based analysis; probability density function estimation; refractory period prolongation; time 30 min; ventricular response; Biological system modeling; Computational modeling; Electrocardiography; Estimation; Hidden Markov models; Histograms; Mathematical model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing in Cardiology, 2011
  • Conference_Location
    Hangzhou
  • ISSN
    0276-6547
  • Print_ISBN
    978-1-4577-0612-7
  • Type

    conf

  • Filename
    6164487