<p>Comparison between the groups that developed (blue triangle) and did not develop (red triangle) ischemic strokes during the observation period. Significant differences in the SampEn were observed in the VLF2 range. VRI: ventricular response interval, VLF: very low frequency, SampEn: sample entropy. The error bars represent the SD.</p
Distribution entropy (DistEn) is a recently developed measure of complexity that is used to analyse ...
We present the multi-scale entropy analysis of short-term physiological time series of simultaneousl...
Approximate entropy (ApEn) is widely accepted as a complexity measure of the heart rate variability ...
<p>(A) A 75-year-old male had an ischemic stroke at 2 months after the recording. (B) A 45-year-old ...
<p>The MeanEn<sub>VLF2</sub> for a 4-hour period was plotted every 2 hours, where the center of the ...
We assess the complexity of Heart Rate Variability (HRV) time series by computing Approximate Entrop...
In this work, Refined Multiscale Entropy (RMSE) was applied to characterize risk of cardiac death in...
Multiscale entropy (MSE) quantifies the cardiovascular complexity evaluating Sample Entropy (SampEn)...
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...
In the present document the multiscale entropy (MSE) methodology has been applied to analyze the com...
It has been recognized that heart rate variability (HRV), defined as the fluctuation of ventricular ...
When an ECG recording is not available to derive the R-R interval (RRI) series, the heart rate varia...
Objective: A defining feature of physiological systems under the neuroautonomic regulation is their ...
Heart rate variability (HRV) has proven to be a useful noninvasive tool to study the neuronal contro...
Distribution entropy (DistEn) is a recently developed measure of complexity that is used to analyse ...
We present the multi-scale entropy analysis of short-term physiological time series of simultaneousl...
Approximate entropy (ApEn) is widely accepted as a complexity measure of the heart rate variability ...
<p>(A) A 75-year-old male had an ischemic stroke at 2 months after the recording. (B) A 45-year-old ...
<p>The MeanEn<sub>VLF2</sub> for a 4-hour period was plotted every 2 hours, where the center of the ...
We assess the complexity of Heart Rate Variability (HRV) time series by computing Approximate Entrop...
In this work, Refined Multiscale Entropy (RMSE) was applied to characterize risk of cardiac death in...
Multiscale entropy (MSE) quantifies the cardiovascular complexity evaluating Sample Entropy (SampEn)...
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...
In the present document the multiscale entropy (MSE) methodology has been applied to analyze the com...
It has been recognized that heart rate variability (HRV), defined as the fluctuation of ventricular ...
When an ECG recording is not available to derive the R-R interval (RRI) series, the heart rate varia...
Objective: A defining feature of physiological systems under the neuroautonomic regulation is their ...
Heart rate variability (HRV) has proven to be a useful noninvasive tool to study the neuronal contro...
Distribution entropy (DistEn) is a recently developed measure of complexity that is used to analyse ...
We present the multi-scale entropy analysis of short-term physiological time series of simultaneousl...
Approximate entropy (ApEn) is widely accepted as a complexity measure of the heart rate variability ...