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Decompression Modelling and Algorithm

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Engineering and Medicine in Extreme Environments

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Abstract

Decompression illness and decompression sickness are pathologies mostly associated with diving incidents, which result from excessive bubble formation from dissolved gas. Great efforts are undertaken to perform research to understand the pathology and fundamental mechanisms, which result from the dynamic effects of compression and decompression. In this chapter, the clinical manifestation of decompression illness including the impact on different physiological systems is presented. Principles in physics, chemistry and biology are investigated that build the base to understand the mechanisms of decompression and bubble kinetics. These principles are then used to derive algorithms and concepts to calculate decompression schedules, which aim to safely step the diver back to the surface. Different approaches are dissected for their general ideas and implementation.

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Authors and Affiliations

  1. Joint Research Centre in AI for Health and Wellness, Faculty of Engineering and IT, University of Technology Sydney (UTS), Sydney, NSW, Australia

    Tobias Cibis

  2. Faculty of Business and IT, Ontario Tech University, Oshawa, ON, Canada

    Tobias Cibis

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  1. Tobias Cibis
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Correspondence to Tobias Cibis .

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Editors and Affiliations

  1. Joint Research Centre in AI for Health and Wellness, Faculty of Engineering and IT, University of Technology Sydney (UTS), Sydney, NSW, Australia

    Tobias Cibis

  2. Joint Research Centre in AI for Health and Wellness, Faculty of Business and IT, Ontario Tech University, Oshawa, ON, Canada

    Carolyn McGregor AM

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Cibis, T. (2022). Decompression Modelling and Algorithm. In: Cibis, T., McGregor AM, C. (eds) Engineering and Medicine in Extreme Environments. Springer, Cham. https://doi.org/10.1007/978-3-030-96921-9_5

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  • DOI: https://doi.org/10.1007/978-3-030-96921-9_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-96920-2

  • Online ISBN: 978-3-030-96921-9

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