Estimation and prediction of propafenone on the termination of atrial fibrillation by state-space models

Chin En Kuo*, Shao Sheng Lu, Chih-Sheng Lin, Sheng Fu Liang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Atrial fibrillation (AF) is the most frequent cardiac arrhythmia seen in clinical practice. Several therapeutical approaches have been developed to terminate the AF and the effects are evaluated by the reduction of the wavelet number after the treatments. In this paper, the state-space model was developed and applied to estimate the effects of pharmacological therapy on AF. Recordings (224-site bipolar recordings) of plaque electrode arrays placed on the right and left atria of pigs with sustained AF induced by rapid atrial-pacing were used to train and test the state-space models. The cardiac mapping data from five pigs treated with intravenous administration of antiarrhythmia drug, propafenone (PPF), were evaluated. The recordings of cardiac activity before the drug treatment were input to the model and the model output reported the estimated wavelet number of atria after the drug treatment. The results show that the predicting accuracy can reach 90%. It is expected that the developed state-space model can be further extended to assist the clinical staffs to estimate the effects of treatments for the AF patients in the future.

Original languageEnglish
Title of host publicationICS 2010 - International Computer Symposium
Number of pages5
StatePublished - 1 Dec 2010
Event2010 International Computer Symposium, ICS 2010 - Tainan, Taiwan
Duration: 16 Dec 201018 Dec 2010

Publication series

NameICS 2010 - International Computer Symposium


Conference2010 International Computer Symposium, ICS 2010


  • Atrial fibrillation
  • Propafenone
  • State-space models
  • Wavelet number


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