Recurrence plot features: An example using ECG

David T. Mewett, Karen J. Reynolds, Homer Nazeran

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Citations (Scopus)

    Abstract

    Electrocardiogram (ECG) signals are analysed using the nonlinear method of recurrence plots, which reveals subtle time correlations in time-domain signals. Large-scale features in the recurrence plots, which consist entirely of single dots, line segments of different orientations and white spaces, are directly related to time-domain features in the original signals. The relationship between recurrence plot features and time-domain features is easy to see for these ECG signals, and can be used to infer time-domain features of other signals (such as other bioelectric signals) that are more difficult to interpret due to their complexity.

    Original languageEnglish
    Title of host publicationISSPA 1999 - Proceedings of the 5th International Symposium on Signal Processing and Its Applications
    PublisherIEEE Computer Society
    Pages175-178
    Number of pages4
    ISBN (Print)1864354518, 9781864354515
    DOIs
    Publication statusPublished - Aug 1999
    Event5th International Symposium on Signal Processing and Its Applications, ISSPA 1999 - Brisbane, QLD, Australia
    Duration: 22 Aug 199925 Aug 1999

    Publication series

    NameISSPA 1999 - Proceedings of the 5th International Symposium on Signal Processing and Its Applications
    Volume1

    Conference

    Conference5th International Symposium on Signal Processing and Its Applications, ISSPA 1999
    CountryAustralia
    CityBrisbane, QLD
    Period22/08/9925/08/99

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