- Recurrence Quantification analysis and Transient Otoacoustic ...🔍
- Recurrence Quantification Analysis🔍
- Recurrence quantification analysis of resting state EEG signals in ...🔍
- Recurrence quantification analysis of heart rate variability to detect ...🔍
- A Technique for the Dynamical Analysis of Student Writing🔍
- RECURRENCE QUANTIFICATION ANALYSIS🔍
- RECURRENCE PLOTS::Recurrence Plots🔍
- Recurrence quantification analysis 🔍
Recurrence Quantification Analysis
Recurrence Quantification analysis and Transient Otoacoustic ...
The RQA aims to a direct and quantitative description of the amount of deterministic structure of a signal. The basic idea behind RQA is the identification of ...
Recurrence Quantification Analysis: Introduction and Historical ...
Recurrence quantification analysis is derived from recurrence plots, which are based upon distances matrices of embedded series, and demonstrated the plot's ...
Recurrence quantification analysis of resting state EEG signals in ...
RQA of rsEEG was an accurate classifier of ASD in an age-matched sample, suggesting the potential of this approach for global screening in ASD.
Recurrence quantification analysis of heart rate variability to detect ...
RQA of HRV time series is a new valid approach to determine both ventilatory thresholds in individuals with different physical fitness levels.
A Technique for the Dynamical Analysis of Student Writing - ERIC
using recurrence quantification analysis (RQA). Results of correlation and regression analyses revealed that the RQA indices were significantly related to ...
RECURRENCE QUANTIFICATION ANALYSIS: INTRODUCTION ...
Traditional analytic methods impose constraints which are often difficult to achieve. A technique which does not impose these constraints is recurrence ...
RECURRENCE PLOTS::Recurrence Plots, Cross Recurrence Plots ...
Recurrence plot based methods (e.g. recurrence quantification analysis) are modern methods of nonlinear data analysis. Here we provide information about ...
Recurrence quantification analysis (RQA) - File Exchange - MATLAB ...
Using recurrence plot for determinism analysis of EEG recordings in genetic absence epilepsy rats, Clinical Neurophysiology 119 (8), 1747-1755
Optimising parameters in recurrence quantification analysis of smart ...
From recurrence plots different RQA variables can be obtained and analysed. Currently, most of the methods for RQA radius optimisation are focusing on a single ...
Unidimensional and Multidimensional Methods for Recurrence ...
The basics of recurrence quantification analysis (RQA) and all its variants are formally introduced step-by-step from the simplest auto- recurrence to the most ...
Recurrence quantification analysis of two solar cycle indices
Since the RQA measures are statistical values estimated from the distribution of points in the moving temporal window, it is of paramount ...
Recurrence Quantification Analysis for Understanding Complex ...
This Focus Issue celebrates the 30th anniversary of recurrence plots which are simple graphical tools used to visualize the basic, dynamical characteristics ...
Practical Interpretation and Insights with Recurrence Quantification ...
Both RPs and RQA statistics have been successfully adopted by cognitive scientists for both continuous and discrete data, with applications in interpersonal ...
Cross Recurrence Quantification Analysis - QuantDev Methodology
This tutorial is a general introduction to cross recurrence quantification analysis using the 'crqa' package.
Recurrence quantification analysis for the identification of burst ...
In this work, we apply the spatial recurrence quantification analysis (RQA) to identify chaotic burst phase synchronisation in networks. We ...
Recurrence Quantification Analysis for Spatial Data
Recurrence analysis has proven to be a robust methodology for characterizing complex behaviors, with numerous successful applications in multiple domains.
Lecture 7: Recurrence Quantification Analysis in practice - YouTube
Fred Hasselman's course, "Complexity Methods for Behavioural Sciences" in Helsinki. See description below for details.
Using cross-recurrence quantification analysis to compute similarity ...
This article describes, validates, and applies Cross-Recurrence Quantification Analysis (CRQA) to detect and quantify correlation and coupling among time ...
Recurrence quantification analysis : theory and best practices
Contents/Summary · Contents. Mathematical and Computational Foundations of Recurrence; Estimating Kolmogorov Entropy from Recurrence Plots. · Summary: The ...
Multidimensional Cross-Recurrence Quantification Analysis ...
It is an extension of Multidimensional Recurrence Quantification Analysis (MdRQA), which allows to quantify the (auto-)recurrence properties of ...