Title :
Paroxysmal atrial fibrillation prediction using isolated premature atrial events and paroxysmal atrial tachycardia
Author :
Thong, Tran ; McNames, James ; Aboy, Mateo ; Goldstein, Brahm
Author_Institution :
Dept. of Biomed. Eng., Oregon Health & Sci. Univ., Beaverton, OR, USA
Abstract :
A simplified predictor of episodes of paroxysmal atrial fibrillation (PAF) is presented. Over a thirty minute monitoring time, the number of premature atrial complexes (PAC) without normal sinus node reset is counted. When the number of such PACs changes by more than 2 over the monitoring period, a PAF prediction is made. The PAC test is supplemented with a paroxysmal atrial tachycardia (PAT) test that uses a similar approach in identifying and counting episodes of PAF. The combined PAC and PAT test yields a sensitivity of 68%, a specificity of 86% and a positive predictivity of 86% on the public test PAF database from the 2001 Computer in Cardiology.
Keywords :
electrocardiography; medical signal processing; patient diagnosis; patient monitoring; cardiology; isolated premature atrial events; monitoring; paroxysmal atrial fibrillation prediction; paroxysmal atrial tachycardia; premature atrial complexes; public test PAF database; Atrial fibrillation; Batteries; Biomedical engineering; Cardiology; Computerized monitoring; Databases; Electrocardiography; Medical treatment; Rhythm; Testing;
Conference_Titel :
Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
Print_ISBN :
0-7803-7789-3
DOI :
10.1109/IEMBS.2003.1279548