Automatic detection of paroxysmal atrial fibrillation

Redmond B. Shouldice, Conor Heneghan, Philip De Chazal, Jong-Il Choi

    Research output: Chapter in Book / Conference PaperChapter

    Abstract

    ![CDATA[The purpose of this chapter is to provide a tutorial level introduction to (a) the physiology and clinical background of paroxysmal (intermittent) atrial fibrillation (PAF), and (b) methods for detection of patterns consistent with AF using electrocardiogram (ECG) processing. The document assumes that the reader is familiar with basic signal processing concepts, but assumes no prior knowledge of AF or pattern classification. A practical implementation of an automatic AF detector is presented; a supervised linear discriminant classifier is used to estimate the likelihood of a block of inter-heartbeat intervals being PAF, with accuracies of 92%, 94%, 100% and 100% when the method was used to process the publically available Physionet (Goldberger et al., 2000) signal databases MITDB, AFDB, NSRDB and NSR2DB respectively.]]
    Original languageEnglish
    Title of host publicationAtrial Fibrillation: Basic Research and Clinical Applications
    Place of PublicationChina
    PublisherInTech
    Pages125-146
    Number of pages24
    ISBN (Print)9789533073996
    Publication statusPublished - 2012

    Keywords

    • atrial fibrillation
    • diagnosis
    • electrocardiography
    • arrhythmia
    • stroke

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