Ol' Bab, Beg to differ: our noninvasive tech would allow you to test 100 times a day if you wanted, without ANY pain, ever, and for pennies/test. The device would cost a third of what you spend on test-strips each year, and it'll last for 3 to 5 years; do the math... -Mark
-----Original Message----- From: David L Babcock [mailto:[email protected]] Sent: Saturday, October 26, 2013 6:28 AM To: [email protected] Subject: Re: [Vo]: ATTENTION: request for expertise... Beg to differ: We are having a mad desire for CHEAPER blood testing. $1.20/stab is too much at 3 to 4 per day. Medicare only covers 2. The pain? Very little, often none. Ol' Bab On 10/25/2013 1:15 PM, Terry Blanton wrote: > I ran across this article which might be of interest: > > http://www.pddnet.com/news/2013/10/measuring-blood-sugar-light > > On Sun, Oct 9, 2011 at 2:29 AM, Mark Iverson-ZeroPoint > <[email protected]> wrote: >> Attention all in the Vort collective: >> >> I hope you all don't mind if I take a few bytes of bandwidth to >> request some help with the R&D I've been working on... which is >> noninvasive blood glucose measurement using RF/microwaves. The >> attached pic shows the results for just one of the diabetics tested; >> for this one we could get a good calibration on 82 data points (taken >> in Feb 2010), and then the calibrated equation accurately estimated >> the remaining 120 samples which were taken thru March. Follow-up >> testing in June also gave good results with little degradation. >> Predictive accuracy over time is a major accomplishment in this work. >> >> We have a database of ~87GB, most of which was on five Type-1 >> diabetics over the course of 2 months; clinical lab-grade blood >> chemistries for most of that data. During RF scans we are also >> taking skin temperature every 100 millisecs... >> >> Our investor has given us until the end of the year to improve our >> calibration/predictive algorithms as much as possible before we >> market the technology for the next phase of development. We are >> currently at >> +-20% accuracy for ~80% of our samples (~1000 samples on the 5 test >> subjects). The technology is not optimized, so this may be all we >> can hope for with the current sensor design and algorithms. But, we >> need to use the time left to make whatever improvements we can... >> >> I am in search of some very bright individuals with expertise in >> mathematical modeling and bioelectromagnetics; perhaps statistics, >> but targeted toward medical device testing. Knowledge of RF >> Scattering Parameters (S-Params) which come out of a modern Network >> Analyzer (Agilent >> PNA-5230) would also be very helpful. We already have some very >> extensive MatLab code which builds mathematical models, one term at a >> time, and it may be better to add to this rather than creating from >> scratch. IF you're very competent and like a real challenge, and >> want a break from the E-Cat fiasco, then please contact me @: >> [email protected] >> or >> [email protected] >> >> There are now 366 million diabetics in the world, and they have been >> in need of a truly painless way to measure their blood sugar. You >> could be one of the keys to solving the challenges which make this a reality for them... >> >> Thanks for your time... >> >> Now back to your regularly scheduled E-Cat frustration! >> :-) >> -Mark Iverson >> >
