Evaluation of normalised Renyi entropy for classification of cardiac autonomic neuropathy

David J. Cornforth; Mika P. Tarvainen; Herbert F. Jelinek

doi:10.1109/ESGCO.2014.6847489

Evaluation of normalised Renyi entropy for classification of cardiac autonomic neuropathy

David J. Cornforth, Mika P. Tarvainen, Herbert F. Jelinek

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution

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 noninvasive 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	ESGCO 2014
Subtitle of host publication	8th Conference of the European Study Group on Cardiovascular Oscillations
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1-2
Number of pages	2
ISBN (Print)	9781479939695
DOIs	https://doi.org/10.1109/ESGCO.2014.6847489
Publication status	Published - 2014
Event	Conference of the European Study Group on Cardiovascular Oscillations (8th : 2014) - Trento, Italy Duration: 25 May 2014 → 28 May 2014

Conference

Conference	Conference of the European Study Group on Cardiovascular Oscillations (8th : 2014)
City	Trento, Italy
Period	25/05/14 → 28/05/14

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10.1109/ESGCO.2014.6847489

Cite this

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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 noninvasive 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.",

author = "Cornforth, \{David J.\} and Tarvainen, \{Mika P.\} and Jelinek, \{Herbert F.\}",

year = "2014",

doi = "10.1109/ESGCO.2014.6847489",

language = "English",

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pages = "1--2",

booktitle = "ESGCO 2014",

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

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note = "Conference of the European Study Group on Cardiovascular Oscillations (8th : 2014) ; Conference date: 25-05-2014 Through 28-05-2014",

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Cornforth, DJ, Tarvainen, MP & Jelinek, HF 2014, Evaluation of normalised Renyi entropy for classification of cardiac autonomic neuropathy. in ESGCO 2014: 8th Conference of the European Study Group on Cardiovascular Oscillations. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 1-2, Conference of the European Study Group on Cardiovascular Oscillations (8th : 2014), 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, Mika P.; Jelinek, Herbert F.
ESGCO 2014: 8th Conference of the European Study Group on Cardiovascular Oscillations. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2014. p. 1-2.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution

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AU - Jelinek, Herbert F.

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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 noninvasive 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 noninvasive 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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U2 - 10.1109/ESGCO.2014.6847489

DO - 10.1109/ESGCO.2014.6847489

M3 - Conference proceeding contribution

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BT - ESGCO 2014

PB - Institute of Electrical and Electronics Engineers (IEEE)

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T2 - Conference of the European Study Group on Cardiovascular Oscillations (8th : 2014)

Y2 - 25 May 2014 through 28 May 2014

ER -

Evaluation of normalised Renyi entropy for classification of cardiac autonomic neuropathy

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