Statistically Based Decompression Tables XI: Manned Validation of the LE Probabilistic Model for Air and Nitrogen-Oxygen Diving.

Abstract

This first-ever validation trial of a probabilistic decompression algorithm was conducted from 1991-92. A real time computer algorithm updated subjects' optimal decompression schedule within a numerical specification of the acceptable risk of decompression sickness (DCS). Long dives (majority over 6 hours) were chosen for testing because of operational needs and under-representation in the calibration data set: long repetitive air dives and multi-level dives - with air throughout, or with 0.7 ATA O2 during shallow transits or during the final decompression. Non-acclimatized divers wearing wet suits were immersed, chilled, and performed moderate exercise on the bottom but rested during decompression. A total of 730 dives resulted in 36 DCS cases, and another 20 cases with marginal symptoms. A subset (158 dives) were performed with the Combat Swimmer Multi-level Dive procedure, demonstrating greater safety when shallow transits were taken at 15 than at 30 feet of seawater. Overall the model was a predictive success: on none of the profiles were observed DCS incidence outside statistical uncertainty, and optimal model parameters were not greatly changed by the addition of the trial data. The real time algorithm is reliable enough for general Navy use.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1999
Accession Number
ADA360867

Entities

People

  • E. C. Parker
  • E. D. Thalmann
  • P. C. Kelleher
  • P. K. Weathersby
  • S. S. Survanshi

Organizations

  • Naval Medical Research Center

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Biomedical Research
  • Breathing Gases
  • Computers
  • Data Sets
  • Databases
  • Decompression Sickness
  • Digital Information
  • Divers
  • Diving
  • Joints (Anatomy)
  • Lower Extremity
  • Medical Personnel
  • Probabilistic Models
  • Standards
  • Upper Extremity
  • Wet Suits

Readers

  • Computational Modeling and Simulation
  • Underwater engineering and Marine Technology.