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.

TEKNIK OCH TEKNOLOGIER Medicinteknik Annan medicinteknik hsv//swe
ENGINEERING AND TECHNOLOGY Medical Engineering Other Medical Engineering hsv//eng
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

Sandberg, FridaLund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH(Swepub:lu)es-fni (författare)
Mainardi, Luca T.Polytechnic University of Milan (författare)
Sornmo, LeifLund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH(Swepub:lu)tde-lso (författare)
Polytechnic University of MilanInstitutionen för elektro- och informationsteknik (creator_code:org_t)

Ingår i:2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013, s. 2567-25709781457702167

Av författaren/redakt...: Corino, Valentin ...; Sandberg, Frida; Mainardi, Luca T ...; Sornmo, Leif

Om ämnet

TEKNIK OCH TEKNOLOGIER: TEKNIK OCH TEKNO ...; och Medicinteknik; och Annan medicintek ...

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