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A statistical model of pollution-caused pulmonary crises

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Computational Methods in Neural Modeling (IWANN 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2686))

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Abstract

Many natural complex systems show peculiar behaviors that are reproduced by computational systems with simple microscopic evolution rules. Here a model that was firstly intruduced for the simulation of submicronic particle deposition and deposit growth is adapted as a model for the pulmonary damage caused precisely by such particles. The model allows to specify the structure of the “pulmonary tree” by means of a dimensionless parameter and also the flow pattern of the inhaled particles (due to air drag and diffusion). The model may qualitatively reproduces particle inhalation profiles obtained through detailed simulations. A continuous decrease of pulmonary volume and oxigenation surface is found, presenting “crises” in both magnitudes.

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Author information

Authors and Affiliations

  1. Departamento de Física Matemática y Fluidos, UNED, 28080, Madrid, Spain

    Daniel Rodríguez-Pérez, Jose L. Castillo & J.C. Antoranz

Authors
  1. Daniel Rodríguez-Pérez
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  2. Jose L. Castillo
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  3. J.C. Antoranz
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Editor information

Editors and Affiliations

  1. E.T.S. de Ingeniería Informática Departamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, Juan del Rosal, 16, 28040, Madrid, Spain

    José Mira  & José R. Álvarez  & 

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© 2003 Springer-Verlag Berlin Heidelberg

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Rodríguez-Pérez, D., Castillo, J.L., Antoranz, J. (2003). A statistical model of pollution-caused pulmonary crises. In: Mira, J., Álvarez, J.R. (eds) Computational Methods in Neural Modeling. IWANN 2003. Lecture Notes in Computer Science, vol 2686. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44868-3_47

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  • DOI: https://doi.org/10.1007/3-540-44868-3_47

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40210-7

  • Online ISBN: 978-3-540-44868-6

  • eBook Packages: Springer Book Archive

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