Evaluation of normalised Renyi entropy for classification of cardiac autonomic neuropathy

David J Cornforth; M P Tarvainen; Herbert Jelinek

doi:10.1109/ESGCO.2014.6847489

Evaluation of normalised Renyi entropy for classification of cardiac autonomic neuropathy

David J Cornforth, M P Tarvainen, Herbert Jelinek

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

3 Citations (Scopus)

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 non-invasive 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.

Original language	English
Title of host publication	2014 8th Conference of the European Study Group on Cardiovascular Oscillations
Place of Publication	New York USA
Publisher	IEEE Computer Society
Pages	1-2
Number of pages	2
Edition	CFP1478X
ISBN (Electronic)	9781479939688 , 9781479939695
DOIs	https://doi.org/10.1109/ESGCO.2014.6847489
Publication status	Published - 2014
Event	Conference of the European Study Group on Cardiovascular Oscillations - Fai della Paganella, Trento, Italy Duration: 25 May 2014 → 28 May 2014 https://ieeexplore.ieee.org/xpl/conhome/6839149/proceeding (proceedings) https://www.unitn.it/archivio/events/sites/events.unitn.it/files/download/esgco2014/ESGCO2014_Final_Program_0.pdf (program)

Conference

Conference	Conference of the European Study Group on Cardiovascular Oscillations
Country/Territory	Italy
City	Trento
Period	25/05/14 → 28/05/14
Internet address	https://ieeexplore.ieee.org/xpl/conhome/6839149/proceeding (proceedings) https://www.unitn.it/archivio/events/sites/events.unitn.it/files/download/esgco2014/ESGCO2014_Final_Program_0.pdf (program)

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10.1109/ESGCO.2014.6847489

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title = "Evaluation of normalised Renyi entropy for classification of cardiac autonomic neuropathy",

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 non-invasive 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 = "Entropy, Standards, Diabetes, Educational institutions, Heart rate, Probability, Cardiology",

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publisher = "IEEE Computer Society",

address = "United States",

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note = "Conference of the European Study Group on Cardiovascular Oscillations ; Conference date: 25-05-2014 Through 28-05-2014",

url = "https://ieeexplore.ieee.org/xpl/conhome/6839149/proceeding, https://www.unitn.it/archivio/events/sites/events.unitn.it/files/download/esgco2014/ESGCO2014_Final_Program_0.pdf",

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Cornforth, DJ, Tarvainen, MP & Jelinek, H 2014, Evaluation of normalised Renyi entropy for classification of cardiac autonomic neuropathy. in 2014 8th Conference of the European Study Group on Cardiovascular Oscillations . CFP1478X edn, 6847489, IEEE Computer Society, New York USA, pp. 1-2, Conference of the European Study Group on Cardiovascular Oscillations, Trento, Italy, 25/05/14. https://doi.org/10.1109/ESGCO.2014.6847489

Evaluation of normalised Renyi entropy for classification of cardiac autonomic neuropathy. / Cornforth, David J; Tarvainen, M P; Jelinek, Herbert.
2014 8th Conference of the European Study Group on Cardiovascular Oscillations . CFP1478X . ed. New York USA: IEEE Computer Society, 2014. p. 1-2 6847489.

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

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N2 - 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 non-invasive 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.

AB - 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 non-invasive 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.

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KW - Standards

KW - Diabetes

KW - Educational institutions

KW - Heart rate

KW - Probability

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ER -

Evaluation of normalised Renyi entropy for classification of cardiac autonomic neuropathy

Abstract

Conference

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