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Journal ArticleDOI

Recurrence quantification analysis as a tool for nonlinear exploration of nonstationary cardiac signals

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TLDR
It is concluded that recurrence quantification analysis is a powerful discriminatory tool which, when properly applied to cardiac signals, can provide objectivity regarding the degree of determinism characterizing the system, state changes, as well as degrees of complexity and/or randomness.
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This article is published in Medical Engineering & Physics.The article was published on 2002-01-01. It has received 289 citations till now. The article focuses on the topics: Recurrence quantification analysis.

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Journal ArticleDOI

Kubios HRV - Heart rate variability analysis software

TL;DR: Kubios HRV is an advanced and easy to use software for heart rate variability (HRV) analysis that includes an adaptive QRS detection algorithm and tools for artifact correction, trend removal and analysis sample selection.
Journal ArticleDOI

Heart rate variability as a measure of autonomic regulation of cardiac activity for assessing stress and welfare in farm animals -- a review.

TL;DR: Data from earlier research demonstrate that HRV is a promising approach for evaluating stress and emotional states in animals, and has the potential to contribute much to the understanding and assessment of the underlying neurophysiological processes of stress responses and different welfare states in farm animals.
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Nonlinear Heart Rate Variability features for real-life stress detection. Case study: students under stress due to university examination

TL;DR: The results of the current study suggest that nonlinear HRV analysis using short term ECG recording could be effective in automatically detecting real-life stress condition, such as a university examination.
Reference EntryDOI

Recurrence Quantification Analysis

TL;DR: Recurrence quantification analysis (RQA) is a method for assessing the complexity, nonlinearity, and nonstationarity of biological time series typically defy quantitative description.
Journal ArticleDOI

Review and classification of variability analysis techniques with clinical applications

TL;DR: This work provides an updated review of variability analysis techniques suitable for clinical applications, and proposes a revised classification for the domains of variability techniques, which include statistical, geometric, energetic, informational, and invariant.
References
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An Introduction To Probability Theory And Its Applications

TL;DR: A First Course in Probability (8th ed.) by S. Ross is a lively text that covers the basic ideas of probability theory including those needed in statistics.
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Independent coordinates for strange attractors from mutual information.

TL;DR: In this paper, the mutual information I is examined for a model dynamical system and for chaotic data from an experiment on the Belousov-Zhabotinskii reaction.
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Geometry from a Time Series

TL;DR: In this paper, the existence of low-dimensional chaotic dynamical systems describing turbulent fluid flow was determined experimentally by reconstructing phase-space pictures from the observation of a single coordinate of any dissipative dynamical system and determining the dimensionality of the system's attractor.
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Recurrence Plots of Dynamical Systems

TL;DR: In this article, a graphical tool for measuring the time constancy of dynamical systems is presented and illustrated with typical examples, and the tool can be used to measure the time complexity of a dynamical system.
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