Publikationer
A Mathematical Model of The Atrioventricular Node during Atrial Fibrillation
Avdelning/ar:
Publiceringsår: 2010
Språk: Engelska
Sidor: 117-120
Volym: 37
Dokumenttyp: Konferensbidrag
Sammanfattning
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.
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.
Disputation
Nyckelord
- Technology and Engineering
Övrigt
Computing in Cardiology 2010
2010-09-26
Belfast. Northern Ireland
Published
Yes
- Signal Processing
- ISSN: 0276−6574

