Circulation, Vol 80, 112-119, Copyright © 1989 by American Heart Association
KM Ropella, AV Sahakian, JM Baerman and S Swiryn
Previous work has suggested that a comparison of electrograms from two or
more sites may best differentiate fibrillatory from nonfibrillatory
rhythms. The coherence spectrum is a measure by which two signals may be
compared quantitatively in the frequency domain. In the present study, the
coherence spectrum was used to quantify the relation between spectral
components of electrograms from two sites in either the atrium or ventricle
during both fibrillatory and nonfibrillatory rhythms. Bipolar recordings of
35 rhythms from 20 patients were analyzed for coherence in the 1-59 Hz
band. The 17 nonfibrillatory rhythms were sinus rhythm (six), paroxysmal
supraventricular tachycardia (two), atrial flutter (four), and monomorphic
ventricular tachycardia (five). The 18 fibrillatory rhythms were atrial
fibrillation (12) and ventricular fibrillation (six). Nonfibrillatory
rhythms exhibited moderate-to-high levels of coherence throughout the 1-59
Hz band, with peaks concentrated at the rhythm's fundamental frequency and
its harmonics. Fibrillatory rhythms exhibited little coherence throughout
the 1-59 Hz band, and harmonics were not evident. The mean magnitude-
squared coherence (scale of 0 to 1) for the 1-59 Hz band ranged from 0.22
to 0.86 (mean +/- SD, 0.52 +/- 0.19) for nonfibrillatory rhythms and from
0.042 to 0.12 (0.067 +/- 0.021) for fibrillatory rhythms. Separation of
fibrillatory and nonfibrillatory rhythms was possible whether signals were
recorded by floating or fixed-electrode configurations. These findings
indicate that comparison of two electrograms with magnitude-squared
coherence measurements differentiates fibrillatory from nonfibrillatory
rhythms. A recognition algorithm based on coherence spectra may provide a
major variations in lead configuration.(ABSTRACT TRUNCATED AT 250 WORDS)
ARTICLES
The coherence spectrum. A quantitative discriminator of fibrillatory and nonfibrillatory cardiac rhythms
Department of Biomedical Engineering, Northwestern University, Evanston, Illinois.
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