Title :
RR interval analysis for detection of Atrial Fibrillation in ECG monitors
Author :
Ghodrati, Alireza ; Murray, Bill ; Marinello, Stephen
Author_Institution :
Algorithm Developments Department of Draeger Medical, 6 Tech Drive, Andover, MA 01810, USA
Abstract :
We investigate two RR irregularity measures suitable for Atrial Fibrillation (AFIB) detection in ECG monitors, one based on the absolute deviation and the other based on the difference between successive RR intervals. A sequence of RR intervals is fed to the irregularity measures after applying certain constraints on length and beat classifications to provide criteria for detection of AFIB. Receiver Operating Curves (ROC) are used to analyze and compare the performance of the two methods against MIT-BIH Arrhythmia Database, MIT-BIH AFIB Database and a proprietary AFIB Database.
Keywords :
Atrial fibrillation; Databases; Detection algorithms; Electrocardiography; Hidden Markov models; Length measurement; Medical diagnostic imaging; Noise measurement; Performance analysis; Rhythm; Algorithms; Atrial Fibrillation; Data Interpretation, Statistical; Diagnosis, Computer-Assisted; Electrocardiography; Heart Rate; Humans; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2008.4649224
