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Rgbm, Suunto rgbm adaptive decompression – SUUNTO Vyper Air User Manual

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10.2. RGBM
The Suunto Reduced Gradient Bubble Model (RGBM) is a modern algorithm for pre-
dicting both dissolved and free gas in the tissues and blood of divers. It was developed
in 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 significant 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 dissolved-gas-only models by:

Monitoring continuous multiday diving

Computing closely spaced repetitive diving

Reacting to a dive deeper than the previous dive

Adapting to rapid ascents which produce high microbubble (silent-bubble) build-
up

Incorporating consistency with real physical laws for gas kinetics

10.2.1. Suunto RGBM adaptive decompression
The Suunto RGBM algorithm adapts its predictions of both the effects of microbubble
build-up and adverse dive profiles in the current dive series. It also changes these
calculations according to the personal adjustment you select.
The pattern and speed of decompression at the surface is adjusted according to mi-
crobubble influence.
On repetitive dives, adjustment may also be applied to the maximum allowable nitrogen
overpressure in each theoretical tissue group.

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