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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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 (2026). ARA (https://github.com/Marjola89/ARA), GitHub. Retrieved .
General Information
- Version 2.0.0 (4.52 KB)
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View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 2.0.0 | Changed image |
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| 1.0.0 |
