<p>Multiscale entropy was derived from two-hours of interbeat interval time series. Symbols represent mean values of entropy for each group and the bars represent the standard error. Parameters of sample entropy calculation are m = 2 and r = 0.15. The sample entropy values for subjects with APOE ε4 allele are significantly lower (<i>p</i><0.01) on scales between 3 and 13, which are equal to oscillations at period around 10 to 40 heartbeats. <i>p</i> values were computed using Student's <i>t</i>-test at each scale factor.</p
<p>This figure shows locus entropies obtained for SBT, SSO, DNA2 and SERO typing formats, within eac...
Abstract—Multivariate physical and biological recordings are common and their simultaneous analysis ...
<p>(A) Boxplot of the entropy rate from whole samples. The entropy rate increased according to the d...
We assess the complexity of Heart Rate Variability (HRV) time series by computing Approximate Entrop...
Considerable interest has been devoted for developing a deeper understanding of the dynamics of heal...
Healthy systems exhibit complex dynamics on the changing of information embedded in physiologic sign...
The entropy of heart rate variability is one of the main features characterizing the complexity of t...
The entropy of heart rate variability is one of the main features characterizing the complexity of t...
We introduce a generalization of multiscale entropy (MSE) analysis. The method is termed MSEn, where...
In the present document the multiscale entropy (MSE) methodology has been applied to analyze the com...
Efficient genotyping methods and the availability of a large collection of single-nucleotide polymor...
In the analysis of signal regularity from a physiological system such as the human heart, Approximat...
Quantifying the complexity of physiologic time series has been of considerable interest. Several ent...
<p>This figure shows the comparison between <i>allele entropy</i> and <i>haplotype entropy</i> compu...
Measures of predictability in physiological signals using entropy measures have been widely applied ...
<p>This figure shows locus entropies obtained for SBT, SSO, DNA2 and SERO typing formats, within eac...
Abstract—Multivariate physical and biological recordings are common and their simultaneous analysis ...
<p>(A) Boxplot of the entropy rate from whole samples. The entropy rate increased according to the d...
We assess the complexity of Heart Rate Variability (HRV) time series by computing Approximate Entrop...
Considerable interest has been devoted for developing a deeper understanding of the dynamics of heal...
Healthy systems exhibit complex dynamics on the changing of information embedded in physiologic sign...
The entropy of heart rate variability is one of the main features characterizing the complexity of t...
The entropy of heart rate variability is one of the main features characterizing the complexity of t...
We introduce a generalization of multiscale entropy (MSE) analysis. The method is termed MSEn, where...
In the present document the multiscale entropy (MSE) methodology has been applied to analyze the com...
Efficient genotyping methods and the availability of a large collection of single-nucleotide polymor...
In the analysis of signal regularity from a physiological system such as the human heart, Approximat...
Quantifying the complexity of physiologic time series has been of considerable interest. Several ent...
<p>This figure shows the comparison between <i>allele entropy</i> and <i>haplotype entropy</i> compu...
Measures of predictability in physiological signals using entropy measures have been widely applied ...
<p>This figure shows locus entropies obtained for SBT, SSO, DNA2 and SERO typing formats, within eac...
Abstract—Multivariate physical and biological recordings are common and their simultaneous analysis ...
<p>(A) Boxplot of the entropy rate from whole samples. The entropy rate increased according to the d...