• DocumentCode
    169838
  • Title

    Evaluation of normalised Renyi entropy for classification of cardiac autonomic neuropathy

  • Author

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

  • Author_Institution
    Univ. of Newcastle, Newcastle, NSW, Australia
  • fYear
    2014
  • fDate
    25-28 May 2014
  • Firstpage
    1
  • Lastpage
    2
  • 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.
  • Keywords
    diseases; electrocardiography; entropy; health care; medical signal processing; signal classification; ECG; RR interval; cardiac autonomic neuropathy classification; early cardiac autonomic neuropathy detection; electrocardiography; heart beat signal; noninvasive testing; normalised Renyi entropy evaluation; standard deviation; timely health care; Cardiology; Diabetes; Educational institutions; Entropy; Heart rate; Probability; Standards;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cardiovascular Oscillations (ESGCO), 2014 8th Conference of the European Study Group on
  • Conference_Location
    Trento
  • Type

    conf

  • DOI
    10.1109/ESGCO.2014.6847489
  • Filename
    6847489