Evaluation of normalised Renyi entropy for classification of cardiac autonomic neuropathy

David J. Cornforth, Mika P. Tarvainen, Herbert F. Jelinek

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

    2 Citations (Scopus)

    Abstract

    Early detection of cardiac autonomic neuropathy (CAN) is vital to provide timely health care. There are a variety of measures that can be considered for detection of CAN from the heart beat signal, which should provide a relatively noninvasive test. In this work we consider the use of two measures based on the RR interval - the standard deviation and the Renyi Entropy. We find that caution is indicated in the use of entropy for two reasons. First, these two measures are related, so that the researcher who provides Renyi entropy as a measure may in fact be measuring only the standard deviation. Second, there are several methods for calculating Renyi entropy, so the method needs to be carefully selected to provide meaningful results.
    Original languageEnglish
    Title of host publicationESGCO 2014
    Subtitle of host publication8th Conference of the European Study Group on Cardiovascular Oscillations
    Place of PublicationPiscataway, NJ
    PublisherInstitute of Electrical and Electronics Engineers (IEEE)
    Pages1-2
    Number of pages2
    ISBN (Print)9781479939695
    DOIs
    Publication statusPublished - 2014
    EventConference of the European Study Group on Cardiovascular Oscillations (8th : 2014) - Trento, Italy
    Duration: 25 May 201428 May 2014

    Conference

    ConferenceConference of the European Study Group on Cardiovascular Oscillations (8th : 2014)
    CityTrento, Italy
    Period25/05/1428/05/14

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