Multiscale sample entropy in heart rate variability of aortic stenosis patients.
In the present document the multiscale entropy (MSE) methodology has been applied to analyze the complex behavior of the heart rate variability (HRV), in patients with aortic stenosis (AS). A set of healthy voluntaries have been used as a control group. MSE analysis calculates an entropy rate over different time scales to assess the complexity of time series, evaluating short-term and long-term correlations. Daytime and nighttime have been considered to study variations of the complexity inside the same group of population. A statistical analysis showed that entropy was significantly higher in healthy subjects than in AS subjects in all the scales during daytime, with exception at scale 1. During nighttime, entropy in healthy subjects was significantly higher than in AS subjects only in scales from 1 to 7. Multiscale entropy is helpful to characterize AS patients and distinguish them from healthy subjects.
Valencia
José F
JF
Dept. ESAII, Centre for Biomedical Engineering Research, Technical University of Catalonia, CIBER of Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona, Spain. jose.fernando.valencia@upc.edu
Porta
Alberto
A
Vallverdú
Montserrat
M
Clarià
Francesc
F
Baranowski
Rafal
R
Orłowska-Baranowska
Ewa
E
Caminal
Pere
P
D000293:Adolescent; D000328:Adult; D000368:Aged; D000465:Algorithms; D000704:Analysis of Variance; D001024:Aortic Valve Stenosis / Q000503:physiopathology*; D001698:Biomedical Engineering; D016022:Case-Control Studies; D002648:Child; D002940:Circadian Rhythm / Q000502:physiology; D005260:Female; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D008297:Male; D008875:Middle Aged; D008955:Models, Cardiovascular