Title :
Multiscale sample entropy in heart rate variability of aortic stenosis patients
Author :
Valencia, José F. ; Porta, Alberto ; Vallverdu, Montserrat ; Clarià, Francesc ; Baranowski, Rafal ; Orlowska-Baranowska, Ewa ; Caminal, Pere
Author_Institution :
Dept. ESAII, Centre for Biomedical Engineering Research, Technical University of Catalonia, CIBER of Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona, Spain
Abstract :
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.
Keywords :
Aging; Cardiac disease; Cardiovascular diseases; Entropy; Heart rate variability; Pathology; Signal design; Signal processing; Statistical analysis; Time series analysis; Adolescent; Adult; Aged; Algorithms; Analysis of Variance; Aortic Valve Stenosis; Biomedical Engineering; Case-Control Studies; Child; Circadian Rhythm; Female; Heart Rate; Humans; Male; Middle Aged; Models, Cardiovascular;
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2008.4649582