Renyi entropy in identification of cardiac autonomic neuropathy in diabetes

Herbert Jelinek, M.P. Tarvainen, David Cornforth

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

26 Citations (Scopus)


Heart rate variability (HRV) has been conventionally analyzed with time- and frequency-domain methods. More recent nonlinear analysis has shown an increased sensitivity for identifying risk of future morbidity and mortality in diverse patient groups. Included in the domain of nonlinear analysis are the multiscale entropy measures. The Renyi entropy is such a measure. It is calculated by considering the probability of sequences of values occurring in the HRV data. An exponent a of the probability can be varied to provide a spectrum of measures. In this work we applied the multiscale Renyi entropy for identification of cardiac autonomic neuropathy (CAN) in diabetes patients. Fifteen participants were identified with CAN (dCAN) using the five-test Ewing battery and 26 were control (nCAN). The multiscale Renyi entropy was measured from -5<a<+5. The best result was obtained with a=5, where the mean value for patients with CAN was 0.98 with standard deviation of 0.01, compared with a mean of 0.95 for controls with standard deviation of 0.02. The probability of the means being the same was p<0.0001, suggesting that a significant difference between these groups was found using the Renyi entropy. Other values of a also showed a significant difference. Different pathologies differ in their ECG and HRV and therefore no single HRV test should be expected to be ideal for all pathologies. However, this work shows that the multiscale Renyi Entropy provides a high level of discrimination and therefore should be considered as a neuroendocrine test for CAN.
Original languageEnglish
Title of host publicationComputing in Cardiology 2012
Subtitle of host publicationVolume 39
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages3
ISBN (Electronic) 9781467320764
ISBN (Print)9781467320740
Publication statusPublished - 2012
Event39th Computing in Cardiology Conference, CinC 2012 - AGH University of Science and Technology, Krakow, Poland
Duration: 09 Sept 201212 Sept 2012 (Conference website) (Conference proceedings)

Publication series

ISSN (Print)0276-6574


Conference39th Computing in Cardiology Conference, CinC 2012
OtherComputing in Cardiology provides an international forum for scientists and professionals from the fields of medicine, physics, engineering and computer science, and has been held annually since 1974.
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