Evaluation of normalised Renyi entropy for classification of cardiac autonomic neuropathy

David J Cornforth, M P Tarvainen, Herbert Jelinek

Research output: Book chapter/Published conference paperConference paperpeer-review

3 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 non-invasive 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 publication2014 8th Conference of the European Study Group on Cardiovascular Oscillations
Place of PublicationNew York USA
PublisherIEEE Computer Society
Pages1-2
Number of pages2
EditionCFP1478X
ISBN (Electronic)9781479939688 , 9781479939695
DOIs
Publication statusPublished - 2014
EventConference of the European Study Group on Cardiovascular Oscillations - Fai della Paganella, Trento, Italy
Duration: 25 May 201428 May 2014
https://ieeexplore.ieee.org/xpl/conhome/6839149/proceeding (proceedings)
http://toc.proceedings.com/22675webtoc.pdf (table of contents)
https://www.unitn.it/archivio/events/sites/events.unitn.it/files/download/esgco2014/ESGCO2014_Final_Program_0.pdf (program)

Conference

ConferenceConference of the European Study Group on Cardiovascular Oscillations
Country/TerritoryItaly
CityTrento
Period25/05/1428/05/14
Internet address

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