Multiscale complexity analysis of heart rate dynamics in heart failure: Preliminary findings from the music study

Recently, a new complexity measure, multiscale entropy (MSE), has been developed based on the quantification of heart rate fluctuations over a range of time scales. Here, we use the MSE algorithm to analyze the cardiac interbeat interval time series from patients with congestive heart failure (CHF) enrolled in the MUSIC study. Our hypothesis is that the heart rate time series from the patients who survived have more dynamical complexity that those from patients who did not survive.