Complexity of the short-term heart-rate variability.
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%.
Valencia
Jose F
JF
Department ESAII, Universitat Politecnica de Catalunya, C/Pau Gargallo 5, 08028 Barcelona, Spain. jose.fernando.valencia@upc.edu
Vallverdú
Montserrat
M
Schroeder
Rico
R
Voss
Andreas
A
Vázquez
Rafael
R
Bayés de Luna
Antonio
A
Caminal
Pere
P
D000368:Aged; D000465:Algorithms; D002311:Cardiomyopathy, Dilated / Q000175:diagnosis / Q000503:physiopathology*; D016757:Death, Sudden, Cardiac / Q000517:prevention & control; D019277:Entropy; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D017711:Nonlinear Dynamics; D011237:Predictive Value of Tests; D011379:Prognosis; D018570:Risk Assessment / Q000379:methods; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D018709:Statistics, Nonparametric