Much appreciate the heads-up Terry! Optical methods have been tried for 30+ years and gobbled up several B$s, and still no regulatory approval! The latest optical corpse is C8Medisensor... they consumed $120M, got CE Mark last Oct, and 4 months later (Jan '13) went TU... Investing in an optical method for noninvasive glucose is pissing away good money.
Low-power RF has numerous technical as well as biz advantages, but investment community is so gun-shy of the whole field that it is extremely difficult to raise the funding. If anyone is interested in looking at our results on 5 insulin-dependent diabetics, ~900 samples over 8 weeks, they are here: http://webpages.charter.net/markiverson/index.htm Haven't given up, and just had a meeting this noon with former Nelcor exec who is quite serious in trying to put a consortium together to take it to the next stage, so keep sending positive vibes... B Well fellow Vorts, -Mark Iverson -----Original Message----- From: Terry Blanton [mailto:[email protected]] Sent: Friday, October 25, 2013 10:15 AM To: [email protected] Subject: Re: [Vo]: ATTENTION: request for expertise... 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 >
