Statistical modeling of the atrioventricular node during atrial fibrillation : Data length and estimator performance

• The atrioventricular (AV) node plays a central role during atrial fibrillation (AF). We have recently proposed a statistical AV node model defined by parameters characterizing the arrival rate of atrial impulses, the probability of an impulse choosing either one of the dual AV nodal pathways, the refractory periods of the pathways, and the prolongation of refractory periods. All model parameters are estimated from the RR 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. The aim of this study is to present a unified approach to ML estimation which also involves the shorter refractory period, thus avoiding our previous Poincaré plot analysis which becomes biased. In addition, the number of RR intervals required for accurate parameter estimation is presented. The results show that the shorter refractory period can be accurately estimated, and that the resulting estimates converge to the true values when about 500 RR intervals are available.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Medicinteknik -- Annan medicinteknik (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Medical Engineering -- Other Medical Engineering (hsv//eng)

Keyword

RR series interval

poincare plot analysis

atrioventricular node refactory period

f-wave

atrial fibrillation frequency

Maximum likelihood estimation

paramameter estimation

atrial impulse probability

atrial impulse arrival rate

statistical atrioventricular node model

data estimator performance

data length performance

Publication and Content Type

kon (subject category)

ref (subject category)