Statistical modeling of atrioventricular nodal function during atrial fibrillation focusing on the refractory period estimation

Valentina D A Corino, Luca T. Mainardi, Frida Sandberg, Leif Sörnmo, Federico Lombardi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We have recently proposed a statistical AV node model defined by a set of parameters characterizing the arrival rate of atrial impulses, the probability of an impulse passing through the fast or the slow pathway, the refractory periods of the pathways, and the prolongation of refractory periods. All parameters are estimated from the RR interval series using maximum likelihood (ML) estimation, except for the mean arrival rate of atrial impulses which is estimated by the AF frequency derived from the f-waves. In this chapter, we compare four different methods, based either on the Poincar´e plot or ML estimation, for determining the refractory period of the slow pathway. Simulation results show better performance of the ML estimator, especially in the presence of artifacts due to premature ventricular beats or misdetected beats. The performance was also evaluated on ECG data acquired from 26 AF patients during rest and head-up tilt test. During tilt, the AF frequency increased (6.08 ± 1.03 Hz vs. 6.20 ± 0.99 Hz, p <0.05, rest vs. tilt) and the refractory periods of both pathways decreased (slow pathway: 0.43 ± 0.12 s vs. 0.38 ± 0.12 s, p = 0.001, rest vs. tilt; fast pathway: 0.55 ± 0.14 s vs. 0.47 ± 0.11 s, p <0.05, rest vs. tilt). These results show that AV node characteristics can be assessed non-invasively to quantify changes induced by autonomic stimulation.

Original languageEnglish
Title of host publicationBiomedical Engineering Systems and Technologies - 6th International Joint Conference, BIOSTEC 2013, Revised Selected Papers
PublisherSpringer Verlag
Pages258-268
Number of pages11
Volume452
ISBN (Print)9783662444849
DOIs
Publication statusPublished - 2014
Event6th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2013 - Barcelona, Spain
Duration: Feb 11 2013Feb 14 2013

Publication series

NameCommunications in Computer and Information Science
Volume452
ISSN (Print)18650929

Other

Other6th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2013
CountrySpain
CityBarcelona
Period2/11/132/14/13

Keywords

  • Atrial Fibrillation
  • Atrioventricular Node
  • Maximum Likelihood Estimation
  • Statistical Modeling

ASJC Scopus subject areas

  • Computer Science(all)

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  • Cite this

    Corino, V. D. A., Mainardi, L. T., Sandberg, F., Sörnmo, L., & Lombardi, F. (2014). Statistical modeling of atrioventricular nodal function during atrial fibrillation focusing on the refractory period estimation. In Biomedical Engineering Systems and Technologies - 6th International Joint Conference, BIOSTEC 2013, Revised Selected Papers (Vol. 452, pp. 258-268). (Communications in Computer and Information Science; Vol. 452). Springer Verlag. https://doi.org/10.1007/978-3-662-44485-618