Probability of decompression sickness in no-stop air diving and subsaturation diving.

摘要: Probabilistic models allow estimation of the probability (Pdcs) that decompression sickness (DCS) will occur in any particular dive. Our objective is to provide Pdcs estimates for no-stop diving instructions used by U.S. Navy and various other navies. To do so, we develop statistics-based (probabilistic) intuition-based (deterministic) using dive-outcome data from Decompression Database. We give special attention subsaturation dives (defined as shallower than 40 fswg with bottom times between 4 hr one day), which experimental are scarce. According our models, DCS 2% or less current air dive schedules near 1% navies Great Britain, Canada, France; also prescriptions seem be appropriate. probabilistic fail deep dives; they not avoid observed cases calibration dataset longer allowed tables operationally; advocate deterministic model dives.