Literature DB >> 20414813

Parameter estimation of the copernicus decompression model with venous gas emboli in human divers.

Christian R Gutvik1, Richard G Dunford, Zeljko Dujic, Alf O Brubakk.   

Abstract

Decompression Sickness (DCS) may occur when divers decompress from a hyperbaric environment. To prevent this, decompression procedures are used to get safely back to the surface. The models whose procedures are calculated from, are traditionally validated using clinical symptoms as an endpoint. However, DCS is an uncommon phenomenon and the wide variation in individual response to decompression stress is poorly understood. And generally, using clinical examination alone for validation is disadvantageous from a modeling perspective. Currently, the only objective and quantitative measure of decompression stress is Venous Gas Emboli (VGE), measured by either ultrasonic imaging or Doppler. VGE has been shown to be statistically correlated with DCS, and is now widely used in science to evaluate decompression stress from a dive. Until recently no mathematical model has existed to predict VGE from a dive, which motivated the development of the Copernicus model. The present article compiles a selection experimental dives and field data containing computer recorded depth profiles associated with ultrasound measurements of VGE. It describes a parameter estimation problem to fit the model with these data. A total of 185 square bounce dives from DCIEM, Canada, 188 recreational dives with a mix of single, repetitive and multi-day exposures from DAN USA and 84 experimentally designed decompression dives from Split Croatia were used, giving a total of 457 dives. Five selected parameters in the Copernicus bubble model were assigned for estimation and a non-linear optimization problem was formalized with a weighted least square cost function. A bias factor to the DCIEM chamber dives was also included. A Quasi-Newton algorithm (BFGS) from the TOMLAB numerical package solved the problem which was proved to be convex. With the parameter set presented in this article, Copernicus can be implemented in any programming language to estimate VGE from an air dive.

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Year:  2010        PMID: 20414813     DOI: 10.1007/s11517-010-0601-6

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  17 in total

1.  Circulating venous bubbles in recreational diving: relationships with age, weight, maximal oxygen uptake and body fat percentage.

Authors:  D Carturan; A Boussuges; H Burnet; J Fondarai; P Vanuxem; B Gardette
Journal:  Int J Sports Med       Date:  1999-08       Impact factor: 3.118

2.  Nitrogen elimination from the tissues during oxygen breathing and its relationship to the fat: muscle ratio and the localization of bends.

Authors:  G LUNDIN
Journal:  J Physiol       Date:  1960-06       Impact factor: 5.182

3.  Validation of decompression procedures based on detection of venous gas bubbles: A Bayesian approach.

Authors:  Olav S Eftedal; Haakon Tjelmeland; Alf O Brubakk
Journal:  Aviat Space Environ Med       Date:  2007-02

4.  The relationship between venous gas bubbles and adverse effects of decompression after air dives.

Authors:  O S Eftedal; S Lydersen; A O Brubakk
Journal:  Undersea Hyperb Med       Date:  2007 Mar-Apr       Impact factor: 0.698

5.  A dynamic two-phase model for vascular bubble formation during decompression of divers.

Authors:  Christian R Gutvik; Alf O Brubakk
Journal:  IEEE Trans Biomed Eng       Date:  2008-10-31       Impact factor: 4.538

6.  On the use of a bubble formation model to calculate diving tables.

Authors:  D E Yount; D C Hoffman
Journal:  Aviat Space Environ Med       Date:  1986-02

7.  Exogenous nitric oxide and bubble formation in divers.

Authors:  Zeljko Dujić; Ivan Palada; Zoran Valic; Darko Duplancić; Ante Obad; Ulrik Wisløff; Alf O Brubakk
Journal:  Med Sci Sports Exerc       Date:  2006-08       Impact factor: 5.411

8.  The need for a new medical model: a challenge for biomedicine.

Authors:  G L Engel
Journal:  Science       Date:  1977-04-08       Impact factor: 47.728

9.  Countercurrent compartmental models describe hind limb skeletal muscle helium kinetics at resting and low blood flows in sheep.

Authors:  D J Doolette; R N Upton; C Grant
Journal:  Acta Physiol Scand       Date:  2005-10

10.  Diffusion coefficients and solubility coefficients for gases in biological fluids and tissues: a review.

Authors:  T Langø; T Mørland; A O Brubakk
Journal:  Undersea Hyperb Med       Date:  1996-12       Impact factor: 0.698

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  1 in total

1.  Use of heart rate monitoring for an individualized and time-variant decompression model.

Authors:  Christian R Gutvik; Ulrik Wisløff; Alf O Brubakk
Journal:  Eur J Appl Physiol       Date:  2010-06-25       Impact factor: 3.078

  1 in total

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