Using renyi entropy to detect early cardiac autonomic neuropathy

D.J. Cornforth, M.P Tarvainen, Herbert Jelinek

Research output: Book chapter/Published conference paperConference paper

11 Citations (Scopus)

Abstract

Cardiac Autonomic Neuropathy (CAN) is a disease that involves nerve damage leading to abnormal control of heart rate. CAN affects the correct operation of the heart and in turn leads to associated arrhythmias and heart attack. An open question is to what extent this condition is detectable by the measurement of Heart Rate Variability (HRV). An even more desirable option is to detect CAN in its early, preclinical stage, to improve treatment and outcomes. In previous work we have shown a difference in the Renyi spectrum between participants identified with well-defined CAN and controls. In this work we applied the multi-scale Renyi entropy for identification of early CAN in diabetes patients. Results suggest that Renyi entropy derived from a 20 minute, Lead-II ECG recording, forms a useful contribution to the detection of CAN even in the early stages of the disease. The positive ÃŽ± parameters (1 ≤ ÃŽ± ≤ 5) associated with the Renyi distribution indicated a significant difference (p < 0.00004) between controls and early CAN as well as definite CAN. This is a significant achievement given the simple nature of the information collected, and raises prospects of a simple screening test and improved outcomes of patients
Original languageEnglish
Title of host publicationProceedings of the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages5562-5565
Number of pages4
ISBN (Electronic)9781457702167
DOIs
Publication statusPublished - 2013
Event2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) - Osaka International Convention Center, Osaka, Japan
Duration: 03 Jul 201307 Jul 2013

Conference

Conference2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
CountryJapan
CityOsaka
Period03/07/1307/07/13
OtherThe conference will cover diverse topics such as biomedical engineering, healthcare technologies, and medical and clinical applications. The conference program will consist of invited plenary lectures, symposia, workshops, invited sessions and oral and poster sessions of unsolicited contributions. All papers will be peer reviewed; accepted papers of up to four pages will appear in the Conference Proceedings and be indexed by IEEE Xplore and Medline/PubMed.

Fingerprint

Entropy
Heart Rate
Cardiac Arrhythmias
Electrocardiography
Myocardial Infarction
Lead

Cite this

Cornforth, D. J., Tarvainen, M. P., & Jelinek, H. (2013). Using renyi entropy to detect early cardiac autonomic neuropathy. In Proceedings of the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 5562-5565). United States: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/EMBC.2013.6610810
Cornforth, D.J. ; Tarvainen, M.P ; Jelinek, Herbert. / Using renyi entropy to detect early cardiac autonomic neuropathy. Proceedings of the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). United States : IEEE, Institute of Electrical and Electronics Engineers, 2013. pp. 5562-5565
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Cornforth, DJ, Tarvainen, MP & Jelinek, H 2013, Using renyi entropy to detect early cardiac autonomic neuropathy. in Proceedings of the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, Institute of Electrical and Electronics Engineers, United States, pp. 5562-5565, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, Japan, 03/07/13. https://doi.org/10.1109/EMBC.2013.6610810

Using renyi entropy to detect early cardiac autonomic neuropathy. / Cornforth, D.J.; Tarvainen, M.P; Jelinek, Herbert.

Proceedings of the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). United States : IEEE, Institute of Electrical and Electronics Engineers, 2013. p. 5562-5565.

Research output: Book chapter/Published conference paperConference paper

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Cornforth DJ, Tarvainen MP, Jelinek H. Using renyi entropy to detect early cardiac autonomic neuropathy. In Proceedings of the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). United States: IEEE, Institute of Electrical and Electronics Engineers. 2013. p. 5562-5565 https://doi.org/10.1109/EMBC.2013.6610810