<p>The multivariate time series consists of <i>Z</i>-components of four isolated time series. The average value of the normal group (green) is smaller than that of the patient group (red). The difference is statistically significant (student’s <i>t</i>-test, <i>p</i> < 0.05) in every examined scales (<i>τ</i> ≤ 15). Below <i>τ</i> = 5, every normal subject has a smaller value of <i>E</i><sub><i>c</i></sub> than every patient, as manifested by the small error bars.</p
<p>(a) RR interval time series from healthy subject (b) Time series obtained by excluding artifacts ...
Approximate entropy (ApEn) is widely accepted as a complexity measure of the heart rate variability ...
Scaling invariance of time series has been making great contributions in diverse research fields. Bu...
<p>Graphs show change in MSE from rest in patients (red) and controls (blue) for the RM and Sternber...
Multiscale entropy (MSE) quantifies the cardiovascular complexity evaluating Sample Entropy (SampEn)...
Quantifying the complexity of physiologic time series has been of considerable interest. Several ent...
We assess the complexity of Heart Rate Variability (HRV) time series by computing Approximate Entrop...
Multiscale entropy (MSE) was proposed to characterize complexity as a function of the time-scale fac...
<p>Scatterplots of strength and complexity of the time series, as measured by wavelet entropy, for -...
<p>Multiscale entropy was derived from two-hours of interbeat interval time series. Symbols represen...
In the present document the multiscale entropy (MSE) methodology has been applied to analyze the com...
<p>Comparison between the groups that developed (blue triangle) and did not develop (red triangle) i...
Copyright © 2013 Hsien-Tsai Wu et al. This is an open access article distributed under the Creative ...
Considerable interest has been devoted for developing a deeper understanding of the dynamics of heal...
Abstract Background Approximate entropy (ApEn) and sample entropy (SampEn) have been previously used...
<p>(a) RR interval time series from healthy subject (b) Time series obtained by excluding artifacts ...
Approximate entropy (ApEn) is widely accepted as a complexity measure of the heart rate variability ...
Scaling invariance of time series has been making great contributions in diverse research fields. Bu...
<p>Graphs show change in MSE from rest in patients (red) and controls (blue) for the RM and Sternber...
Multiscale entropy (MSE) quantifies the cardiovascular complexity evaluating Sample Entropy (SampEn)...
Quantifying the complexity of physiologic time series has been of considerable interest. Several ent...
We assess the complexity of Heart Rate Variability (HRV) time series by computing Approximate Entrop...
Multiscale entropy (MSE) was proposed to characterize complexity as a function of the time-scale fac...
<p>Scatterplots of strength and complexity of the time series, as measured by wavelet entropy, for -...
<p>Multiscale entropy was derived from two-hours of interbeat interval time series. Symbols represen...
In the present document the multiscale entropy (MSE) methodology has been applied to analyze the com...
<p>Comparison between the groups that developed (blue triangle) and did not develop (red triangle) i...
Copyright © 2013 Hsien-Tsai Wu et al. This is an open access article distributed under the Creative ...
Considerable interest has been devoted for developing a deeper understanding of the dynamics of heal...
Abstract Background Approximate entropy (ApEn) and sample entropy (SampEn) have been previously used...
<p>(a) RR interval time series from healthy subject (b) Time series obtained by excluding artifacts ...
Approximate entropy (ApEn) is widely accepted as a complexity measure of the heart rate variability ...
Scaling invariance of time series has been making great contributions in diverse research fields. Bu...