Personal Data On Computers

Please register or login

Welcome to ScubaBoard, the world's largest scuba diving community. Registration is not required to read the forums, but we encourage you to join. Joining has its benefits and enables you to participate in the discussions.

Benefits of registering include

  • Ability to post and comment on topics and discussions.
  • A Free photo gallery to share your dive photos with the world.
  • You can make this box go away

Joining is quick and easy. Log in or Register now!

lermontov

Contributor
Messages
1,793
Reaction score
1,498
Location
christchurch
# of dives
1000 - 2499
just wondering if it'd be any advantage for computers to incorporate the age weight height sex of the owner to get better calls on tissue loading- do any computers have this? would it make a calculable differance?
 
From everything I've heard about tissue loading, tables, computers, etc.-- I don't think they can do anything like that to give you any sort of idea how much N is in any tissues. So far, tables, NDLs, etc. are based on trials, but they have no idea which tissues on/offgas at which rates. I would guess if adding the 4 variables would make a difference it would've been done already and probably way before computers became mainstream.
 
If there were measurements taken to create tables based upon all those factors, then it probably would help. As it is, though, all those factors were not isolated in original tests and, to my knowledge, have not been collected against modern algorithms so they wouldn't be much help, initially. If you could start collecting them on a large scale and begin isolating them against instances of DCS then you'd definitely be able to work something up, maybe 10 -15 years down the road.
 
According to a video/advert for the Atomic Cobalt it already incorporates your age into their algorithm, you enter your date of birth in the setup menu, and you then have user definable options such as work rate and so on to personalise it further, so it seems the first steps have already been taken. - P
 
As it is, though, all those factors were not isolated in original tests and, to my knowledge, have not been collected against modern algorithms so they wouldn't be much help, ...

Having worked in health statistics (though not an expert by any means) I wonder if the coarsness of the original data collected might not give a better estimate. I've heard (and have no idea if it's true) that the same diver could do the same dive, under the same conditions, two times and not get hit one one dive and get hit on the other. They would have the same personal parameters so the coarsness of the original data might be fuzzy enough to give a broader and more conservative calculation. Just my early morning thoughts - not claiming they are totally coherent.
 
AFAIK there's no mapping from the model's hypothetical number of hypothetical "compartments" to the actual tissues and their actual on/off-gassing rates. So there's no point.
 
AFAIK there's no mapping from the model's hypothetical number of hypothetical "compartments" to the actual tissues and their actual on/off-gassing rates. So there's no point.
That's exactly what I was saying. As well, I don't think adding age to a DC would do a whole lot, as people's physique at any given age varies tremendously. I read years ago that somebody somewhere is always working on figuring out the whole compartment thing to make it "real" and thus a computer could tell each user exactly what was in their tissues, which tissues had how much, and exactly how much bottom time you had left. I would even imagine that if this really was developed, you'd still have the problem of everyone off-gassing differently, and as stated, the same person off-gassing differently on separate or different day dives. Pretty daunting.
 
That's exactly what I was saying. As well, I don't think adding age to a DC would do a whole lot, as people's physique at any given age varies tremendously. I read years ago that somebody somewhere is always working on figuring out the whole compartment thing to make it "real" and thus a computer could tell each user exactly what was in their tissues, which tissues had how much, and exactly how much bottom time you had left. I would even imagine that if this really was developed, you'd still have the problem of everyone off-gassing differently, and as stated, the same person off-gassing differently on separate or different day dives. Pretty daunting.

Isn't that the point though? that we know how our on/off gassing is on any given day /dive. should be easy for a computer to work that out if the right information is loaded
Obesity and age have a bearing on our ability to off gas and if you wanted to you could include SAC rates i.e. an older overweight heavy breather is going to load the tissue bar graph quicker than a fit young person with low SAC rate. Computers only measure time at depth and gas type
 
Not clear how SAC rates figure into it. My guess is that a higher SAC rate will speed up the offloading of Nitrogen on assent since it keeps replacing the air being offloaded into faster. Perhaps the reverse with onloading? Whether this would be a maeaningful difference is again not clear to me.
 

Back
Top Bottom