Statistically Based Decompression Tables. 7. Selection and Treatment of Primary Air and N sub 2 O sub 2 Data

Abstract

Probabilistic models of decompression sickness (DCS) require high quality data of diving profiles and DCS occurrence to get reliable predictions of the probability of DCS, P(DCS). Over 400 experimental dives performed since 1977 in the U.S., U.K., and Canada were collected, verified, and formatted for use in probabilistic models. In most cases the dive profile precision is within 1 fsw in depth, 30 sec in time, and 0.1 ATA in PO2. DCS outcome and other medical records are of the high quality expected for test dives done in military laboratories. This report describes the data sources, steps used in the review and formatting process, and summaries of the data collection.... Decompression sickness, Hyperbaric, Diving, Data base.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 18, 1992
Accession Number
ADA259090

Entities

People

  • E. D. Thalmann
  • P. K. Weathersby
  • R. Y. Nishi
  • S. S. Survanshi

Organizations

  • Naval Submarine Medical Research Laboratory

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Biomedical Research
  • Compressed Air
  • Computer Programs
  • Computers
  • Data Sets
  • Databases
  • Decompression
  • Decompression Chambers
  • Decompression Sickness
  • Divers
  • Health Services
  • Medical Personnel
  • Navy
  • Pain
  • Partial Pressure
  • Submarine Escape

Readers

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