Abstract
A software system capable to automatically predict the initiation of atrial fibrillation (AF) by analyzing the electrocardiogram (ECG) prior to AF´s appearance, and to predict, whether AF will terminate spontaneously has been developed. Prediction of the initiation of AF was done by detecting premature atrial beats and analyzing the variations of their P waves. AF classification according to "terminating" and "none-terminating" was done by eliminating ventricular components of the ECG and by comparing the major frequency of the remaining signal with a certain threshold value. Both algorithms were validated by participating at the Computers in Cardiology Challenges 2001 and 2004.
| Original language | English |
|---|---|
| Title of host publication | IASTED International Conference Biomedical Engineering |
| Pages | 424 |
| Number of pages | 1 |
| Publication status | Published - 2005 |
| Event | IASTED International Conference Biomedical Engineering - Duration: 1 Jan 2005 → … |
Conference
| Conference | IASTED International Conference Biomedical Engineering |
|---|---|
| Period | 1/01/05 → … |
Research Field
- Not defined
Keywords
- ECG analysis
- atrial fibrillation
- risk assessment