Tauchmedizin

Bühlmann, A

doi:10.1007/978-3-642-97623-0

Cited by 10 publications

(12 citation statements)

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“…Using the R package SCUBA, stepwise inert gas pressures (in ATA) in 17 Bühlmann compartments (ZH-L16A) were estimated from the MS Excel profiles. 33,34 As rats are thought to saturate in less than 90 mins, 6,26,35 only compartments 1-4 (including 1b) with nitrogen half-times of 4.0, 5.0, 8.0, 12.5 and 18.5 mins respectively were included in the initial model, 34 shown in Equation 3. Longer total saturation times have been proposed but are the exception.…”

Section: Methodsmentioning

confidence: 99%

A ternary model of decompression sickness in rats

Buzzacott

Lambrechts

Mazur

et al. 2014

Computers in Biology and Medicine

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Section: Methodsmentioning

confidence: 99%

A ternary model of decompression sickness in rats

Buzzacott

Lambrechts

Mazur

et al. 2014

Computers in Biology and Medicine

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“…Stepwise inert gas pressures in 17 Bühlmann compartments (ZH-L16A) were estimated from the profile recorded by the HelO 2 dive computer worn by the diver (max depth 110 mfw, total time 170 min) [7,8]. Both compartment 1 and its alternate 1a were included thus increasing the total number from 16 to 17.…”

Section: Methodsmentioning

confidence: 99%

“…2), only the ascent profiles differed (the RGBM plan had longer deep stops). Bühlmann ZH-L16A a and b values were calculated for nitrogen and helium from published halftimes using equations 1 and 2, where T half is the half-time in min for the respective compartment [8,10,11]:…”

Section: Methodsmentioning

confidence: 99%

Theoretical tissue compartment inert gas pressures during a deep dive with and without deep decompression stops: a case analysis

Buzzacott

Papadopoulou

Baddeley³

et al. 2015

International Maritime Health

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A higher-than-anticipated inert gas content in a decompression mixture, coupled with climbing 200 stairs post-decompression, appear possible risk factors for decompression sickness. Nonetheless, the physiological effect of deep decompression stops during exceptional exposure, even when diving with gas switches, remains urgently to be determined to improve safe decompression following exceptional exposures. Until algorithms utilising deep decompression stops are validated with human data, dive profiles incorporating deep decompression stops should be considered experimental.

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“…During ascent, the ambient pressure decreases and the excess inert gases come out of solution, called 'offgassing'. Normally most offgassing occurs during exhalation, but if inert gas is forced to come out of solution too quickly, bubbles are formed inside the body which may lead to decompression illness (DCI) (Ehm et al, 2003). To avoid DCI during ascent, decompression stops are added at various depths, and the maximum ascent speed is typically limited to a value less than 10msw/min (Bühlmann, 1984).…”

Section: Introductionmentioning

confidence: 99%

“…Haldane decompression models (e.g. Workman, 1965, or Bühlmann, 2002, are mostly based on empirical models, which are described by mathematical functions. In contrast to Haldanian decompression models, which try to predict decompression schedules, so that no DCI occurs, bubble driven models simulate the physical behaviour of bubbles during pressure changes.…”

Section: Introductionmentioning

confidence: 99%

Bubble model based decompression algorithm optimised for implementation on a low power microcontroller

Kuch¹,

Buttazzo²,

Sieber³

2011

uw tech: int j soc uw tech

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The calculation of a decompression schedule, according to the Varying Permeability Model (VPM) with Boyle's Law compensation extension, requires many sophisticated arithmetic operations. Therefore if it is calculated with a limited arithmetic instruction set on a microcontroller, a decompression schedule cannot be calculated in an acceptable time frame. This paper describes the principles behind an optimisation in calculation speed of the VPM with the Boyle's Law compensation extension for the determination of decompression schedules on a low power microcontroller. It was accomplished in three independent steps: converging the cubic root equation of the Boyle's Law compensation algorithm; using a set of predictive models to calculate the adapted bubble radius without using a cubic root solver; and pre-calculating the exponential terms of the Haldane and Schreiner equations, in order to reduce processing time and dynamic adjustment of the step size within the iterative process of the decompression schedule calculation. The modified algorithm was tested on an Atmel ATmega644P running at 8MHz. Calculating decompression schedules with these enhancements were approximately five times faster than with the original algorithm.

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Tauchmedizin

Cited by 10 publications

References 0 publications

A ternary model of decompression sickness in rats

A ternary model of decompression sickness in rats

Theoretical tissue compartment inert gas pressures during a deep dive with and without deep decompression stops: a case analysis

Bubble model based decompression algorithm optimised for implementation on a low power microcontroller

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