Using renyi entropy to detect early cardiac autonomic neuropathy

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

doi:10.1109/EMBC.2013.6610810

Using renyi entropy to detect early cardiac autonomic neuropathy

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

Research output: Book chapter/Published conference paper › Conference paper › peer-review

18 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 Ã¢Â‰Â¤ ÃŽ± Ã¢Â‰Â¤ 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 language	English
Title of host publication	Proceedings of the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Place of Publication	United States
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	5562-5565
Number of pages	4
ISBN (Electronic)	9781457702167
DOIs	https://doi.org/10.1109/EMBC.2013.6610810
Publication status	Published - 2013
Event	2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) - Osaka International Convention Center, Osaka, Japan Duration: 03 Jul 2013 → 07 Jul 2013

Conference

Conference	2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Country/Territory	Japan
City	Osaka
Period	03/07/13 → 07/07/13
Other	The 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.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/EMBC.2013.6610810

Cite this

@inproceedings{3a1ae8fc89d24a91a2354c93705c5063,

title = "Using renyi entropy to detect early cardiac autonomic neuropathy",

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 {\~A}{\v Z}± parameters (1 {\~A}¢{\^A}‰{\^A}¤ {\~A}{\v Z}± {\~A}¢{\^A}‰{\^A}¤ 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",

keywords = "Diabetes patients, Diagnosis, Disease control, ECG recording, Heart attack, Heart rate variability, Heart rates, Nerve damage, Renyi entropy, Screening tests Engineering controlled terms: Chemical detection",

author = "D.J. Cornforth and M.P Tarvainen and Herbert Jelinek",

note = "Imported on 03 May 2017 - DigiTool details were: publisher = United States: IEEE, 2013. Event dates (773o) = 3-7 July, 2013; Parent title (773t) = IEEE Engineering in Medicine and Biology Society (EMBC).; 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) ; Conference date: 03-07-2013 Through 07-07-2013",

year = "2013",

doi = "10.1109/EMBC.2013.6610810",

language = "English",

pages = "5562--5565",

booktitle = "Proceedings of the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

}

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 paper › Conference paper › peer-review

TY - GEN

T1 - Using renyi entropy to detect early cardiac autonomic neuropathy

AU - Cornforth, D.J.

AU - Tarvainen, M.P

AU - Jelinek, Herbert

N1 - Imported on 03 May 2017 - DigiTool details were: publisher = United States: IEEE, 2013. Event dates (773o) = 3-7 July, 2013; Parent title (773t) = IEEE Engineering in Medicine and Biology Society (EMBC).

PY - 2013

Y1 - 2013

N2 - 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 Ã¢Â‰Â¤ ÃŽ± Ã¢Â‰Â¤ 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

AB - 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 Ã¢Â‰Â¤ ÃŽ± Ã¢Â‰Â¤ 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

KW - Diabetes patients

KW - Diagnosis

KW - Disease control

KW - ECG recording

KW - Heart attack

KW - Heart rate variability

KW - Heart rates

KW - Nerve damage

KW - Renyi entropy

KW - Screening tests Engineering controlled terms: Chemical detection

U2 - 10.1109/EMBC.2013.6610810

DO - 10.1109/EMBC.2013.6610810

M3 - Conference paper

C2 - 24110997

SP - 5562

EP - 5565

BT - Proceedings of the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - United States

T2 - 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Y2 - 3 July 2013 through 7 July 2013

ER -

Using renyi entropy to detect early cardiac autonomic neuropathy

Abstract

Conference

UN SDGs

Access to Document

Fingerprint

Cite this