Abstract
Paroxysmal atrial fibrillation (AF) is self-terminating by definition, but the mechanisms by which this occurs are not well understood. Holter recordings were used to develop and test algorithms for distinguishing between AF segments that are Non-terminating (N), Terminating within a second (T), and Soon terminating (within a minute. S). From the training set, the peak frequency ranges (mean ± SD) were 4.8-6.0 (5.3±0.4) Hz for T, 4.7-6.4 (5.2±0.6) Hz for S, 4.8-7.3 (6.5±0.8) Hz for N. In 8 of 10 T recordings there was a decrease in peak frequency from the penultimate to the ultimate second and in 8 of 10 T recordings there was a decrease in peak power. The last second had a lower peak frequency for T when compared to S of the same patient in 9 of 10 patients. Between N and T we correctly classified 20 of 20 from the training set and 29 of 30 from the test set. Between S and T we correctly classified 20 of 20 from the training set and 20 of 20 from the test set.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 105-108 |
| Number of pages | 4 |
| Journal | Computers in Cardiology |
| Volume | 31 |
| State | Published - Dec 1 2004 |
| Event | Computers in Cardiology 2004 - Chicago, IL, United States Duration: Sep 19 2004 → Sep 22 2004 |
ASJC Scopus subject areas
- Computer Science Applications
- Cardiology and Cardiovascular Medicine