ARA

Version 2.0.0 (4.52 KB) by Marjola Thanaj
Attractor Reconstruction Analysis (ARA) to perform and assess the variability of a quasi-periodic signal as a form of an attractor
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Updated 29 Nov 2022
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The main aim of this analysis is to perform and assess the variability of a quasi-periodic signal as a form of an attractor. Provides a visual representation of the multidimensional dynamics of a time series from a two-dimensional attractor with features like density and symmetry. This method is used for the analysis of microvascular blood flow signals and details can be found in the conference paper below:

M. Thanaj, A. J. Chipperfield, and G. F. Clough, “Attractor Reconstruction Analysis for Blood Flow Signals,” Conference: 41st International Engineering in Medicine and Biology Conference (EMBC 2019).

Cite As

Marjola Thanaj (2024). ARA (https://github.com/Marjola89/ARA), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2019b
Compatible with any release
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Version Published Release Notes
2.0.0

Changed image
1.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.