Generate Breath Flow Having Fractal Signal Feature Using Weierstrass Function Combination

Meng Chao Li; Zhong Hai He

doi:10.4028/www.scientific.net/AMR.393-395.796

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 393-395Generate Breath Flow Having Fractal Signal Feature...

Generate Breath Flow Having Fractal Signal Feature Using Weierstrass Function Combination

Abstract:

Fractal signal feature in breath flow is verified by many articles. So the generate fractal feature have two meanings, one to decrease damage to lung in mechanical ventilation because of natural similar, two to increase similarity in breath simulation used in medical patient simulator. The main feature of fractal signal is self-similar. Some algorithms have been proposed using fractional Brownian motion simulation. In this paper we use Weierstrass function combination to generate fractal signal. The method includes all fractal features and easy to realize in algorithm compared with fractional Brownian motion.

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Periodical:

Advanced Materials Research (Volumes 393-395)

Pages:

796-799

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.393-395.796

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Online since:

November 2011

Authors:

Meng Chao Li, Zhong Hai He

Keywords:

Breath Flow Simulation, Breath Pattern, Fractal Signal Generation, Weierstrass Function Combination

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References

[1] Bela Suki, Fluctuations and power laws in pulmonary physiology American journal of respiratory and critical care medicine, Vol. 166 (2002), pp.133-137.

DOI: 10.1164/rccm.200202-152pp

Google Scholar

[2] Urs Frey, Bela Suki, Complexity of chronic asthma and chronic obstructive pulmonary disease: implications for risk assessment, and disease progression and control. Lancet, Vol. 372 (2008), pp.1088-1099.

DOI: 10.1016/s0140-6736(08)61450-6

Google Scholar

[3] Ary L Goldberger, Non-linear dynamics for clinicians: chaos theory, fractals, and complexity at the bedside, Lancet, Vol. 347 (1996), pp.1312-1314.

DOI: 10.1016/s0140-6736(96)90948-4

Google Scholar

[4] Ary L. Goldberger, Complex systems, Proceedings of the American thoracic society, Vol. 3 (2006), pp.467-472.

Google Scholar

[5] Cindy Thamrin, Georgette Stern, Urs Frey, Fractals for physicians, Paediatric respiratory reviews, Vol. 11 (2010), pp.123-131.

DOI: 10.1016/j.prrv.2010.02.001

Google Scholar

[6] Vasilios E. Papaioannou and Ioannis Pneumatikos, Fractals and power law in pulmonary medicine. Implications for the clinician, PNEUMON, Vol. 23 (2010), pp.250-259.

Google Scholar

[7] Jose G. Venegas, Tilo Winkler, Guido Musch, et al, Self-organized patchiness in asthma as a prelude to catastrophic shifts, Nature, Vol. 434 (2005), pp.777-781.

DOI: 10.1038/nature03490

Google Scholar

[8] Zhu Bohua, The study of signal processing and diagnosis based on fractal theory, Wuhan university of technology, Wuhan (2008).

Google Scholar

[9] Bruce J. West, Physiology in fractal dimension: error tolerance, Annals of biomedical engineering, Vol. 18 (1990), pp.135-149.

Google Scholar