Abstract
Subjective and quantitative measures of atrial fibrillation (AF) organization exist. We introduce a new quantitative method and compare it to 2 previous algorithms. In our method, 2 atrial electrograms are processed with 2 linear adaptive filters to predict 1 electrogram from the other. The mean-squared error (MSE) of the prediction quantifies the non-linearity or disorganization between the electrograms. From atrial epicardial recordings, MSE during sinus rhythm and atrial tachycardias were similar, but showed more organization than AF with different levels of vagal stimulation (VS). All 3 algorithms for quantifying AF organization showed low VS AF to be more organized than high VS AF, with MSE showing the most significant difference compared to the other 2 methods. MSE discriminates between AF and organized rhythms and is sensitive to different degrees of AF organization.
| Original language | English (US) |
|---|---|
| Title of host publication | Computers in Cardiology |
| Pages | 273-276 |
| Number of pages | 4 |
| Volume | 0 |
| Edition | 0 |
| State | Published - 1998 |
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ASJC Scopus subject areas
- Software
- Cardiology and Cardiovascular Medicine
Cite this
A new algorithm for measuring atrial fibrillation organization. / Sih, H. J.; Berbari, E. J.; Zipes, D. P.; Olgin, J. E.
Computers in Cardiology. Vol. 0 0. ed. 1998. p. 273-276.Research output: Chapter in Book/Report/Conference proceeding › Chapter
}
TY - CHAP
T1 - A new algorithm for measuring atrial fibrillation organization
AU - Sih, H. J.
AU - Berbari, E. J.
AU - Zipes, D. P.
AU - Olgin, J. E.
PY - 1998
Y1 - 1998
N2 - Subjective and quantitative measures of atrial fibrillation (AF) organization exist. We introduce a new quantitative method and compare it to 2 previous algorithms. In our method, 2 atrial electrograms are processed with 2 linear adaptive filters to predict 1 electrogram from the other. The mean-squared error (MSE) of the prediction quantifies the non-linearity or disorganization between the electrograms. From atrial epicardial recordings, MSE during sinus rhythm and atrial tachycardias were similar, but showed more organization than AF with different levels of vagal stimulation (VS). All 3 algorithms for quantifying AF organization showed low VS AF to be more organized than high VS AF, with MSE showing the most significant difference compared to the other 2 methods. MSE discriminates between AF and organized rhythms and is sensitive to different degrees of AF organization.
AB - Subjective and quantitative measures of atrial fibrillation (AF) organization exist. We introduce a new quantitative method and compare it to 2 previous algorithms. In our method, 2 atrial electrograms are processed with 2 linear adaptive filters to predict 1 electrogram from the other. The mean-squared error (MSE) of the prediction quantifies the non-linearity or disorganization between the electrograms. From atrial epicardial recordings, MSE during sinus rhythm and atrial tachycardias were similar, but showed more organization than AF with different levels of vagal stimulation (VS). All 3 algorithms for quantifying AF organization showed low VS AF to be more organized than high VS AF, with MSE showing the most significant difference compared to the other 2 methods. MSE discriminates between AF and organized rhythms and is sensitive to different degrees of AF organization.
UR - http://www.scopus.com/inward/record.url?scp=12844269494&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=12844269494&partnerID=8YFLogxK
M3 - Chapter
AN - SCOPUS:12844269494
VL - 0
SP - 273
EP - 276
BT - Computers in Cardiology
ER -