{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T22:40:59Z","timestamp":1785278459511,"version":"3.55.0"},"reference-count":38,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2015,3,19]],"date-time":"2015-03-19T00:00:00Z","timestamp":1426723200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Entropy"],"abstract":"<jats:p>In this work we compare three multiscale measures for their ability to discriminate between participants having cardiac autonomic neuropathy (CAN) and aged controls. CAN is a disease that involves nerve damage leading to an abnormal control of heart rate, so one would expect disease progression to manifest in changes to heart rate variability (HRV). We applied multiscale entropy (MSE), multi fractal detrended fluctuation analysis (MFDFA), and Renyi entropy (RE) to recorded datasets of RR intervals. The latter measure provided the best separation (lowest p-value in Mann\u2013Whitney tests) between classes of participants having CAN, early CAN or no CAN (controls). This comparison suggests the efficacy of RE as a measure for diagnosis of CAN and its progression, when compared to the other multiscale measures.<\/jats:p>","DOI":"10.3390\/e17031425","type":"journal-article","created":{"date-parts":[[2015,3,19]],"date-time":"2015-03-19T10:38:57Z","timestamp":1426761537000},"page":"1425-1440","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["A Comparison of Nonlinear Measures for the Detection of Cardiac Autonomic Neuropathy from Heart Rate Variability"],"prefix":"10.3390","volume":"17","author":[{"given":"David","family":"Cornforth","sequence":"first","affiliation":[{"name":"Applied Informatics Research Group, Faculty of Science and IT, University of Newcastle, Newcastle, NSW 2308, Australia"},{"name":"School of Engineering and Information Technology, University of New South Wales, Australian Defence Force Academy, Canberra, ACT 2610, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Herbert","family":"Jelinek","sequence":"additional","affiliation":[{"name":"Centre for Research in Complex Systems, School of Community Health, Charles Sturt University, Albury, NSW 2640, Australia"},{"name":"Australian School of Advanced Medicine, Macquarie University, Sydney, NSW 2109, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8686-5395","authenticated-orcid":false,"given":"Mika","family":"Tarvainen","sequence":"additional","affiliation":[{"name":"University of Eastern Finland, Kuopio 70210, Finland"},{"name":"Kuopio University Hospital, Kuopio 70210, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2015,3,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"918","DOI":"10.2337\/diacare.25.5.918","article-title":"Influence of cardiac autonomic neuropathy on heart rate variability dependence of ventricular repolarization in diabetic patients","volume":"25","author":"Valensi","year":"2002","journal-title":"Diabetes Care."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1553","DOI":"10.2337\/diacare.26.5.1553","article-title":"Diabetic autonomic neuropathy","volume":"26","author":"Vinik","year":"2003","journal-title":"Diabetes Care."},{"key":"ref_3","unstructured":"Tarvainen, M.P., Cornforth, D.J., Kuoppa, P., Lipponen, J.A., and Jelinek, H.F. 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