Development of Decompression Tables and Models: Statistics and Data Analysis


  1. Nishi, R.Y.
  2. Tikuisis, P.
Corporate Authors
Defence and Civil Inst of Environmental Medicine, Downsview ONT (CAN)
The pioneering work of J.S. Haldane with the first decompression table in 1906 has generated considerable research and effort towards the development of safer and more rapid decompression procedures. The deterministic approach is governed by a fixed set of rules that defines the boundary between safe and unsafe dives and includes a model for gas exchange and an ascent criterion, such as gas supersaturation, to calculate the "safe" decompression depth. These decompression models are essentially empirical and provide "safe" decompression only over a limited range of depth and bottom times. The statistical approach considers DCI to be a probabilistic event and uses a risk function consisting of a gas exchange compnent and an ascent criterion to estimate or predict the risk of DCI. The ascent criterion can be based on superstaturation or bubble growth. To determine the risk function, a large data set of precise dive data, including time, depth, gas composition, and DCI outcome, must be available to match the predicted risk with the observed data. Probabilistic models of decompression can be used to analyze dive tables and procedures, compare different tables, and develop decompression tables with a given risk level. TRUNCATED
Risk;Decompression models;Decompression illness;Probabilistic risk model
Report Number
DCIEM-98-P-82 — Reprint
Date of publication
01 Jan 1999
Number of Pages
Reprinted from
Journal of the Human-Environment System,vol 2, no 1, 1999, p 19-31
Hardcopy;Document Image stored on Optical Disk

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