SUUNTO Cobra - Manual (Page 64)

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6.2. REDUCED GRADIENT BUBBLE MODEL,
SUUNTO RGBM
The Suunto Reduced Gradient Bubble Model (RGBM) is a modern algorithm for
predicting both dissolved and free gas in the tissues and blood of divers. It was
developed in a co-operation between Suunto and Bruce R. Wienke BSc, MSc.
PhD. It is based on both laboratory experiments and diving data, including data
from DAN.
It is a signifi cant advance on the classical Haldane models, which do not predict free
gas (microbubbles). The advantage of Suunto RGBM is additional safety through its
ability to adapt to a wide variety of situations. Suunto RGBM addresses a number
of diving circumstances outside the range of just dissolved gas models by:
• Monitoring continuous multiday diving
• Computing closely spaced repetitive diving
• Reacting to a dive deeper than the previous dive
• Adapting for rapid ascents which produce high micro-bubble (silent-
bubble) build-up
• Incorporating consistency with real physical laws for gas kinetics.
SUUNTO RGBM ADAPTIVE DECOMPRESSION
The SUUNTO RGBM algorithm adapts its predictions of both the effects of micro-
bubble build-up and adverse dive profi les in the current dive series. It will also
change these calculations according to the personal adjustment you select.
The pattern and speed of decompression at the surface is adjusted according to
micro-bubble infl uence.
Also on repetitive dives adjustment may be applied to the maximum allowable
nitrogen overpressure in each theoretical tissue group.
Depending on circumstances Suunto RGBM will adapt the decompression
obligations by doing any or all of the following:
• Reducing no-decompression stop dive times
• Adding Mandatory Safety Stops
• Increasing decompression stop times
• Advising an extended surface interval (Diver Attention symbol).