Advances in heart rate variability signal analysis: joint position statement by the e-Cardiology ESC Working Group and the European Heart Rhythm Association co …
Following the publication of the Task Force document on heart rate variability (HRV) in 1996,
a number of articles have been published to describe new HRV methodologies and their …
a number of articles have been published to describe new HRV methodologies and their …
Practical considerations of permutation entropy: A tutorial review
M Riedl, A Müller, N Wessel - The European Physical Journal Special …, 2013 - Springer
More than ten years ago Bandt and Pompe introduced a new measure to quantify
complexity in measured time series. During these ten years, this measure has been modified …
complexity in measured time series. During these ten years, this measure has been modified …
Short-term heart rate variability—influence of gender and age in healthy subjects
In the recent years, short-term heart rate variability (HRV) describing complex variations of
beat-to-beat interval series that are mainly controlled by the autonomic nervous system …
beat-to-beat interval series that are mainly controlled by the autonomic nervous system …
Entropy measures, entropy estimators, and their performance in quantifying complex dynamics: Effects of artifacts, nonstationarity, and long-range correlations
Entropy measures are widely applied to quantify the complexity of dynamical systems in
diverse fields. However, the practical application of entropy methods is challenging, due to …
diverse fields. However, the practical application of entropy methods is challenging, due to …
Recurrence-plot-based measures of complexity and their application to heart-rate-variability data
The knowledge of transitions between regular, laminar or chaotic behaviors is essential to
understand the underlying mechanisms behind complex systems. While several linear …
understand the underlying mechanisms behind complex systems. While several linear …
[图书][B] Multivariate t-distributions and their applications
S Kotz, S Nadarajah - 2004 - books.google.com
Almost all the results available in the literature on multivariate t-distributions published in the
last 50 years are now collected together in this comprehensive reference. Because these …
last 50 years are now collected together in this comprehensive reference. Because these …
Recurrence networks—a novel paradigm for nonlinear time series analysis
This paper presents a new approach for analysing the structural properties of time series
from complex systems. Starting from the concept of recurrences in phase space, the …
from complex systems. Starting from the concept of recurrences in phase space, the …
Methods derived from nonlinear dynamics for analysing heart rate variability
Methods from nonlinear dynamics (NLD) have shown new insights into heart rate (HR)
variability changes under various physiological and pathological conditions, providing …
variability changes under various physiological and pathological conditions, providing …
Amplitude-and fluctuation-based dispersion entropy
H Azami, J Escudero - Entropy, 2018 - mdpi.com
Dispersion entropy (DispEn) is a recently introduced entropy metric to quantify the
uncertainty of time series. It is fast and, so far, it has demonstrated very good performance in …
uncertainty of time series. It is fast and, so far, it has demonstrated very good performance in …
A review of symbolic analysis of experimental data
This review covers the group of data-analysis techniques collectively referred to as
symbolization or symbolic time-series analysis. Symbolization involves transformation of raw …
symbolization or symbolic time-series analysis. Symbolization involves transformation of raw …