Abstract
There has been much interest in analyzing the temporal organization of premature ventricular complexes. Different proposed mechanisms predict specific patterns. So far, these predictions have been mostly tested by inspecting short data strips. We present a novel method for representing cardiac time series as long as 24 hours using a temporal reorganization of the data. Our three dimensional rate-dependent histograms show the number of intervening beats or the interectopic time intervals for different sinus-RR intervals, an approach that may be useful to uncover hidden patterns of ectopy and to classify different dynamics of ectopy.
Original language | English |
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Pages (from-to) | 335-338 |
Number of pages | 4 |
Journal | Computers in Cardiology |
State | Published - 1 Dec 2000 |
Externally published | Yes |
ASJC Scopus subject areas
- Computer Science Applications
- Cardiology and Cardiovascular Medicine