A new algorithm for measuring atrial fibrillation organization

H. J. Sih, E. J. Berbari, D. P. Zipes, J. E. Olgin

Research output: Chapter in Book/Report/Conference proceedingChapter

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 languageEnglish (US)
Title of host publicationComputers in Cardiology
Pages273-276
Number of pages4
Volume0
Edition0
StatePublished - 1998

Fingerprint

Atrial Fibrillation
Adaptive filters
Cardiac Electrophysiologic Techniques
Tachycardia

ASJC Scopus subject areas

  • Software
  • Cardiology and Cardiovascular Medicine

Cite this

Sih, H. J., Berbari, E. J., Zipes, D. P., & Olgin, J. E. (1998). A new algorithm for measuring atrial fibrillation organization. In Computers in Cardiology (0 ed., Vol. 0, pp. 273-276)

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 proceedingChapter

Sih, HJ, Berbari, EJ, Zipes, DP & Olgin, JE 1998, A new algorithm for measuring atrial fibrillation organization. in Computers in Cardiology. 0 edn, vol. 0, pp. 273-276.
Sih HJ, Berbari EJ, Zipes DP, Olgin JE. A new algorithm for measuring atrial fibrillation organization. In Computers in Cardiology. 0 ed. Vol. 0. 1998. p. 273-276
Sih, H. J. ; Berbari, E. J. ; Zipes, D. P. ; Olgin, J. E. / A new algorithm for measuring atrial fibrillation organization. Computers in Cardiology. Vol. 0 0. ed. 1998. pp. 273-276
@inbook{0a9bb301e2c44980b9b494676278926d,
title = "A new algorithm for measuring atrial fibrillation organization",
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.",
author = "Sih, {H. J.} and Berbari, {E. J.} and Zipes, {D. P.} and Olgin, {J. E.}",
year = "1998",
language = "English (US)",
volume = "0",
pages = "273--276",
booktitle = "Computers in Cardiology",
edition = "0",

}

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

VL - 0

SP - 273

EP - 276

BT - Computers in Cardiology

ER -