Evaluation of normalised Renyi entropy for classification of cardiac autonomic neuropathy

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.

[1]  H. F. Jelinek,et al.  Effect of hyperglycemia on cardiac autonomic function in type 2 diabetes , 2012, 2012 Computing in Cardiology.

[2]  M. P. Tarvainen,et al.  Renyi entropy in identification of cardiac autonomic neuropathy in diabetes , 2012, 2012 Computing in Cardiology.

[3]  T. Marwick,et al.  Reliability of heart rate variability in patients with Type 2 diabetes mellitus , 2012, Diabetic medicine : a journal of the British Diabetic Association.

[4]  M. Palaniswami,et al.  Cardiac autonomic neuropathy associated alteration of sympatho-vagal balance through the tone entropy analysis of heart periods , 2009, 2009 36th Annual Computers in Cardiology Conference (CinC).

[5]  Marimuthu Palaniswami,et al.  Identifying diabetic patients with cardiac autonomic neuropathy by heart rate complexity analysis. , 2009, Biomedical engineering online.

[6]  Madalena Costa,et al.  Multiscale entropy analysis of biological signals. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[7]  D. Cysarz,et al.  Entropies of short binary sequences in heart period dynamics. , 2000, American journal of physiology. Heart and circulatory physiology.

[8]  A. Malliani,et al.  Heart rate variability. Standards of measurement, physiological interpretation, and clinical use , 1996 .

[9]  G. Breithardt,et al.  Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. , 1996 .

[10]  Douglas E. Lake,et al.  Renyi entropy measures of heart rate Gaussianity , 2006, IEEE Transactions on Biomedical Engineering.

[11]  A Schirdewan,et al.  Forecasting of Life Threatening Arrhythmias Using the Compression Entropy of Heart Rate , 2004, Methods of Information in Medicine.