Premature atrial complexes detection using the Fisher Linear Discriminant

    Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedings

    Abstract

    Currently, no reliable method exists to detect Premature Atrial Complexes (PAC). The detection of PACs is clinically essential to predict supraventricular tachycardia, postoperative atrial fibrillation and paroxysmal atrial fibrillation. We propose an algorithm for intra-class classification that includes an analysis of the R-R time series. In the pre-processing phase, we used Butterworth filters to remove the baseline wander and the other noise. In the feature extraction phase, we detected the RR interval duration and the distance between the occurrence of P wave and T wave. Using these features we applied Fisher's Linear Discriminant to create a criterion that can be used for classification. Combining pre-processing, feature extraction and Fisher's Linear Discriminant we succeed in separating Normal and PAC beats with 99% Accuracy. � 2008 IEEE.
    Original languageEnglish
    Title of host publicationProceedings of the 7th IEEE International Conference on Cognitive Informatics ICCI 2008
    Place of PublicationSan Francisco, United States
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages-
    Number of pages6
    Publication statusPublished - 2008
    EventIEEE International Conference on Cognitive Informatics (ICCI) 2008 7th - Stanford, United States
    Duration: 14 Aug 200816 Aug 2008

    Conference

    ConferenceIEEE International Conference on Cognitive Informatics (ICCI) 2008 7th
    Period14/08/0816/08/08

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  • Cite this

    Elgendi, M., Jonkman, M., & De Boer, F. (2008). Premature atrial complexes detection using the Fisher Linear Discriminant. In Proceedings of the 7th IEEE International Conference on Cognitive Informatics ICCI 2008 (pp. -). IEEE, Institute of Electrical and Electronics Engineers.