Determination of sample entropy and fuzzy measure entropy parameters for distinguishing congestive heart failure from normal sinus rhythm subjects
Entropy provides a valuable tool for quantifying the regularity of physiological time series
and provides important insights for understanding the underlying mechanisms of the …
and provides important insights for understanding the underlying mechanisms of the …
Effect of ECG sampling frequency on approximate entropy based HRV
Heart rate variability (HRV) analysis, instantaneous variation in RR intervals time series of
electrocardiogram (ECG), is generally used for evaluating autonomic nervous system (ANS) …
electrocardiogram (ECG), is generally used for evaluating autonomic nervous system (ANS) …
Stability, consistency and performance of distribution entropy in analysing short length heart rate variability (HRV) signal
Distribution entropy (DistEn) is a recently developed measure of complexity that is used to
analyse heart rate variability (HRV) data. Its calculation requires two input parameters—the …
analyse heart rate variability (HRV) data. Its calculation requires two input parameters—the …
[PDF][PDF] Entropy measures of heart rate variability for short ECG datasets in patients with congestive heart failure
B Graff, G Graff, A Kaczkowska - Acta Phys. Pol. B Proc …, 2012 - ppm-system.gumed.edu.pl
An important challenge in contemporary cardiology is rapid and accurate identification of
patients in pathological conditions. Entropy-based measures are powerful methods used to …
patients in pathological conditions. Entropy-based measures are powerful methods used to …
Complexity-based analysis of heart rate variability during aging
One of the important areas of heart research is investigating how heart activity changes
during aging. In this research, we employed complexity-based techniques to analyze how …
during aging. In this research, we employed complexity-based techniques to analyze how …
Analysis of heart rate variability based on singular value decomposition entropy
S Li, M Yang, C Li, P Cai - Journal of Shanghai University (English Edition), 2008 - Springer
Assessing the dynamics of heart rate fluctuations can provide valuable information about
heart status. In this study, regularity of heart rate variability (HRV) of heart failure patients …
heart status. In this study, regularity of heart rate variability (HRV) of heart failure patients …
[PDF][PDF] Extraction of dynamical information and classification of heart rate variability signals using scale based permutation entropy measures.
SAA Shah, N Habib, MSA Nadeem, AA Alshdadi… - Traitement du …, 2020 - academia.edu
Accepted: 9 May 2020 The dynamical fluctuations in the Heart Rate Variability (HRV) signals
show structures at multiple time scales revealing that complexity of the autonomic nervous …
show structures at multiple time scales revealing that complexity of the autonomic nervous …
Multiscale analysis of heart rate variability: a comparison of different complexity measures
Heart rate variability (HRV) is an important dynamical variable of the cardiovascular function.
There have been numerous efforts to determine whether HRV dynamics are chaotic or …
There have been numerous efforts to determine whether HRV dynamics are chaotic or …
Ultra-short entropy for mental Stress detection
Abstract Approximate Entropy (ApEn) and Sample Entropy (SampEn) are measures of
signals' complexity and are widely used in Heart Rate Variability (HRV) analysis. In …
signals' complexity and are widely used in Heart Rate Variability (HRV) analysis. In …
[PDF][PDF] Complexity-based analysis of the correlation of brain and heart activity in younger and older subjects
Studying the activity of organs during aging is a very important research area. On the other
hand, simultaneous analysis of the activities of various organs is important to understand …
hand, simultaneous analysis of the activities of various organs is important to understand …