DocumentCode :
561747
Title :
Model-based analysis of the ventricular response during atrial fibrillation
Author :
Sandberg, Frida ; Corino, Valentina D a ; Mainardi, Luca T. ; Sörnmo, Leif
Author_Institution :
Dept. of Electr. & Inf. Technol., Lund Univ., Lund, Sweden
fYear :
2011
fDate :
18-21 Sept. 2011
Firstpage :
1
Lastpage :
4
Abstract :
We study a model of the atrioventricular node function during atrial fibrillation (AF), for which the model parameters can be estimated from the ECG. The proposed model is defined by parameters which characterize the arrival rate of atrial impulses, the probability of an impulse choosing either one of the two atrioventricular nodal pathways, the refractory periods of these pathways, and the prolongation of the refractory periods. The parameters are estimated from the RR intervals using maximum likelihood estimation, except for the shorter refractory period which is estimated from the RR interval Poincare plot, and the mean arrival rate of atrial impulses by the AF frequency estimated from the ECG. The model was evaluated on 30-min ECG segments from 36 AF patients. The results showed that 88% of the segments can be accurately modeled when the estimated probability density function (PDF) and an empirical PDF were at least 80% in agreement.
Keywords :
electrocardiography; maximum likelihood estimation; medical signal processing; probability; ECG; atrial fibrillation; atrial impulse; atrioventricular node function; impulse probability; interval Poincare plot; maximum likelihood estimation; mean arrival rate; model parameter estimation; model-based analysis; probability density function estimation; refractory period prolongation; time 30 min; ventricular response; Biological system modeling; Computational modeling; Electrocardiography; Estimation; Hidden Markov models; Histograms; Mathematical model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing in Cardiology, 2011
Conference_Location :
Hangzhou
ISSN :
0276-6547
Print_ISBN :
978-1-4577-0612-7
Type :
conf
Filename :
6164487
Link To Document :
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