Automated detection of paroxysmal atrial fibrillation from inter-heartbeat intervals

Redmond B Shouldice; Conor Heneghan; Philip de Chazal

doi:10.1109/IEMBS.2007.4352383

Automated detection of paroxysmal atrial fibrillation from inter-heartbeat intervals

Annu Int Conf IEEE Eng Med Biol Soc. 2007:2007:686-9. doi: 10.1109/IEMBS.2007.4352383.

Authors

Redmond B Shouldice¹, Conor Heneghan, Philip de Chazal

Affiliation

¹ BiancaMed, NovaUCD, University College Dublin, Belfield, Dublin 4, Ireland. [email protected]

PMID: 18002049
DOI: 10.1109/IEMBS.2007.4352383

Abstract

An automated method for detecting episodes of probable paroxysmal atrial fibrillation based on processing blocks of inter-heartbeat intervals is considered. The method has very low computational requirements making it well-suited to near real-time, low power applications. A supervised linear discriminant classifier is used to estimate the likelihood of a block of inter-heartbeat intervals containing paroxysmal atrial fibrillation (PAF). Per block accuracies in separating normal from PAF were 92%, 94%, 100% and 100% when the method was used to process the Physionet MITDB, AFDB, NSRDB and NSR2DB databases respectively.

MeSH terms

Atrial Fibrillation / diagnosis
Atrial Fibrillation / physiopathology*
Databases, Factual*
Electrocardiography* / methods
Electronic Data Processing / methods*
Female
Humans
Male
Models, Cardiovascular*