Complexity of the short-term heart-rate variability

IEEE Engineering in Medicine and Biology Magazine : the Quarterly Magazine of the Engineering in Medicine & Biology Society
Jose F ValenciaPere Caminal

Abstract

This work has proposed a methodology based on the concept of entropy rates to study the complexity of the short-term heart-rate variability (HRV) for improving risk stratification to predict sudden cardiac death (SCD) of patients with established ischemic-dilated cardiomyopathy (IDC). The short-term HRV was analyzed during daytime and nighttime by means of RR series. An entropy rate was calculated on the RR series, previously transformed to symbol sequences by means of an alphabet. A statistical analysis permitted to stratify high- and low-risk patients of suffering SCD, with a specificity (SP) of 95% and sensitivity (SE) of 83.3%.

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Citations

Oct 12, 2011·Biomedical Engineering Online·Andrea BraviAndrew J E Seely
Feb 7, 2014·Journal of the Royal Society, Interface·Philip M HollowayJason Ellis
Dec 8, 2015·Computational and Mathematical Methods in Medicine·Jie WangTsang-Chu Yu
Dec 18, 2013·NeuroImage·Anca Rădulescu, Lilianne R Mujica-Parodi
Dec 31, 2014·Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences·José Fernando ValenciaPere Caminal
Feb 13, 2013·Physiological Measurement·José F ValenciaPere Caminal
Jul 21, 2012·Physiological Measurement·A VossS Perz

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