[abstract]CALIBRATION OF A NEW BIOPHYSICAL MODEL DEDICATED TO THE PREVENTION OF DECOMPRESSION SICKNESS

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[abstract]CALIBRATION OF A NEW BIOPHYSICAL MODEL DEDICATED TO THE PREVENTION OF DECOMPRESSION SICKNESS

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Title: [abstract]CALIBRATION OF A NEW BIOPHYSICAL MODEL DEDICATED TO THE PREVENTION OF DECOMPRESSION SICKNESS
Author: Hugon, J; Bennani, Y; Pronzato, L; Rendas, J
Abstract: Introduction/Background: During a decompression, a part of the gas dissolved in the body is eliminated through microbubbles. This can potentially generate severe forms of decompression sickness (DCS). It is deemed and justified that: i. the risk of DCS is linked to the amount of bubbles circulating in the mixed venous blood, detectable by Doppler; ii. a biophysical model of decompression predicting microbubbles production along time, after any type of exposure, is relevant for DCS prevention. Materials and methods: After a critical review of the biophysical models developed so far, a new approach is proposed. The model considers the dynamic and the transfer in the blood of microbubbles that are formed in physiological tissues (muscles, fat…) during the decompression, recruited from a part of a pre-existing population of micronuclei. The microbubbles flow rate at right heart level, considered to be a cumulative response of all compartments, constitutes the model output. A maximum likelihood method estimating the distribution of the unknown parameters of the model using a Doppler database is presented. To illustrate this method and the model prediction capability, both in terms of venous gas emboli and DCS risk, a database including 444 Doppler measurements (after air exposures between 16m and 80m, characterized by 16 DCS cases) has been used [1]. Results: The identified model successfully fits the experimental data and the correspondence between measured Doppler grades and modeled flow rates is compared to results previously published in the literature. Conclusions: The preliminary validation phase of this biophysical model is promising. It is intended to go further by using not only bubble peaks but extended temporal recordings of bubble intensity profiles as a more conclusive mean for validation and calibration of the model together with DCS risk prediction. Reference 1. DCIEM reports sources
Description: Undersea and Hyperbaric Medicine : Journal of the Undersea and Hyperbaric Medical Society, Inc.
URI: http://archive.rubicon-foundation.org/10450
Date: 2012

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  • UHMS Meeting Abstracts
    This is a collection of the published abstracts from the Undersea and Hyperbaric Medical Society (UHMS) annual meetings.

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