Document - Intermittency-driven complexity in signal processing

2017

Contribution to book Open Access

Intermittency-driven complexity in signal processing

Paradisi P., Allegrini P.

Heart Brain ElectroCardioGram (ECG) ElectroEncephaloGram (EEG) Fractal Intermittency Health and wellness Physiology Biomedical signal processing

In this chapter, we rst discuss the main motivations that are causing an increasing interest of many research elds and the interdisciplinary eort of many research groups towards the new paradigm of complexity. Then, without claiming to include all possible complex systems, which is much beyond the cope of this review, we introduce a possible denition of complexity. Along this line, we also introduce our particular approach to the analysis and modeling of complex systems. This is based on the ubiquitous observation of metastability of self-organization, which triggers the emergence of intermittent events with fractal statistics. This condition, named fractal intermittency, is the signature of a particular class of complexity here referred to as Intermittency-Driven Complexity (IDC) . Limiting to the IDC framework, we give a survey of some recently developed statistical tools for the analysis of complex behavior in multi-component systems and we review recent applications to real data, especially in the eld of human physiology. Finally, we give a brief discussion about the role of complexity paradigm in human health and wellness.

Source: Complexity and Nonlinearity in Cardiovascular Signals, edited by Barbieri R.; Scilingo E.; Valenza G., pp. 161–195. London: Springer, 2017

Publisher: Springer, London, GBR

Metrics

Back to previous page

Cite as

BibTeX entry

@inbook{oai:it.cnr:prodotti:401216,
	title = {Intermittency-driven complexity in signal processing},
	author = {Paradisi P. and Allegrini P.},
	publisher = {Springer, London, GBR},
	doi = {10.1007/978-3-319-58709-7_6},
	booktitle = {Complexity and Nonlinearity in Cardiovascular Signals, edited by Barbieri R.; Scilingo E.; Valenza G., pp. 161–195. London: Springer, 2017},
	year = {2017}
}