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A Mathematical Model of The Atrioventricular Node during Atrial Fibrillation

Corino, Valentina D.A.; Sandberg, Frida LU ; Mainardi, Luca T. and Sörnmo, Leif LU (2010) Computing in Cardiology 2010 In [Host publication title missing] 37. p.117-120
Abstract
The atrioventricular (AV) node plays a crucial role during

atrial fibrillation (AF). The aim of this study is to

present an AV node model which can be fitted to short-term

ECG recordings in order to infer certain AV node characteristics.

The proposed model is characterized by: i) the

arrival rate of atrial impulses; ii) two different refractory

periods, corresponding to dual AV nodal paths; iii) the

probability of an atrial impulse choosing either of these

pathways; iv) a parameter modeling prolongation of the

refractory period due to different physiological reasons.

The model was tested on atrial fibrillatory ECGs recorded

from 33 patients;... (More)
The atrioventricular (AV) node plays a crucial role during

atrial fibrillation (AF). The aim of this study is to

present an AV node model which can be fitted to short-term

ECG recordings in order to infer certain AV node characteristics.

The proposed model is characterized by: i) the

arrival rate of atrial impulses; ii) two different refractory

periods, corresponding to dual AV nodal paths; iii) the

probability of an atrial impulse choosing either of these

pathways; iv) a parameter modeling prolongation of the

refractory period due to different physiological reasons.

The model was tested on atrial fibrillatory ECGs recorded

from 33 patients; the average normalized absolute error

between the normalized RR histogram and the estimated

model probability density function was 0.0023 ± 0.0016,

(20-ms bin size, 0–2 s interval). These preliminary results

are encouraging as AV nodal properties can be noninvasively

assessed by a set of statistical parameters with a

simple electrophysiological interpretation. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
[Host publication title missing]
volume
37
pages
117 - 120
conference name
Computing in Cardiology 2010
external identifiers
  • Scopus:79953819057
ISSN
0276-6574
language
English
LU publication?
yes
id
fbf06bc3-b5d5-4f6f-a3e9-708f1726174b (old id 1790316)
alternative location
http://cinc.org/archives/2010/pdf/0117.pdf
date added to LUP
2011-03-01 14:19:51
date last changed
2016-10-13 04:35:23
@misc{fbf06bc3-b5d5-4f6f-a3e9-708f1726174b,
  abstract     = {The atrioventricular (AV) node plays a crucial role during<br/><br>
atrial fibrillation (AF). The aim of this study is to<br/><br>
present an AV node model which can be fitted to short-term<br/><br>
ECG recordings in order to infer certain AV node characteristics.<br/><br>
The proposed model is characterized by: i) the<br/><br>
arrival rate of atrial impulses; ii) two different refractory<br/><br>
periods, corresponding to dual AV nodal paths; iii) the<br/><br>
probability of an atrial impulse choosing either of these<br/><br>
pathways; iv) a parameter modeling prolongation of the<br/><br>
refractory period due to different physiological reasons.<br/><br>
The model was tested on atrial fibrillatory ECGs recorded<br/><br>
from 33 patients; the average normalized absolute error<br/><br>
between the normalized RR histogram and the estimated<br/><br>
model probability density function was 0.0023 ± 0.0016,<br/><br>
(20-ms bin size, 0–2 s interval). These preliminary results<br/><br>
are encouraging as AV nodal properties can be noninvasively<br/><br>
assessed by a set of statistical parameters with a<br/><br>
simple electrophysiological interpretation.},
  author       = {Corino, Valentina D.A. and Sandberg, Frida and Mainardi, Luca T. and Sörnmo, Leif},
  issn         = {0276-6574},
  language     = {eng},
  pages        = {117--120},
  series       = {[Host publication title missing]},
  title        = {A Mathematical Model of The Atrioventricular Node during Atrial Fibrillation},
  volume       = {37},
  year         = {2010},
}