Fractal physiology
Fractal physiology refers to the study of physiological systems using complexity science methods, such as chaos measure, entropy, and fractal dimensions. The underlying assumption is that biological systems are complex and exhibit non-linear patterns of activity, and that characterizing that complexity (using dedicated mathematical approaches) is useful to understand, and make inferences and predictions about the system.[1]
Main Findings
![[icon]](/File:Wiki_letter_w_cropped.svg){kind=small} | This section needs expansion. You can help by adding to it. (March 2022) |
Neurophysiology
Quantifications of the complexity of brain activity is used in the context of neuropsychiatric diseases and mental states characterization, such as schizophrenia,
Cardiovascular systems
The complexity of Heart Rate Variability is a useful predictor of cardiovascular health.[5]
Software
In Python, NeuroKit provides a comprehensive set of functions for complexity analysis of physiological data.[6][5] AntroPy implements several measures to quantify the complexity of time-series.[7]
In R, TSEntropies provides methods to quantify the entropy.[8] casnet implements a collection of analytic tools for studying signals recorded from complex adaptive systems.[9]
In
See also
References
- ISBN 0195080130.
- PMID 16508894.
- PMID 21544742.
- PMID 26872349.
- ^ PMID 34207927.
- S2CID 231757711.
- ^ Vallat, Raphael (22 March 2022). "raphaelvallat/antropy". github.com. Retrieved 22 March 2022.
- ^ Tomcala, Jiri (8 October 2018). "TSEntropies". CRAN. Retrieved 22 March 2022.
- ^ Hasselman, Fred (6 March 2022). "casnet". github.com. Retrieved 22 March 2022.
- PMID 30894180.
 | This chaos theory-related article is a stub. You can help Wikipedia by expanding it. |
 | This biology article is a stub. You can help Wikipedia by expanding it. |