Wavesense vs. Freestyle data

14 05 2008

I’ve been using the Keynote for about a week now, so today I sorted through all the data and made a few graphs and analyses. (Let me know if you cannot view the link)

meter comparison spreadsheet

Here are some of the observations I saw from the data:

  1. The overall average is nearly identical. The Freestyle (for the first few days of the spreadsheet, I was using the Flash, then I switched over to the Lite. I don’t think it made much of a difference) had an average of 124.9, while the Keynote had an average of 125. UPDATE: I removed a couple lines where I only had a number for one of the meters (but not both). This resulted in a Freestyle average of 124.5 and a Keynote average of 123.5.  Still not a huge difference, but in this case, the Keynote gives a LOWER average.
  2. The Keynote has a lower standard deviation. Freestyle’s standard deviation was 57.4, while the Keynote has only 50.5. This is very important. Lower standard deviation means fewer/less extreme values. This is what they mean by the “plus or minus 20%” or whatever. A lower standard deviation means it can be “plus or minus” by a lower amount. This indicates increased accuracy, which is what Agamatrix claims in the first place. As a result of my update in #1, the Freestyle std dev is now 57.7 and the Keynote is 49.6
  3. Related to #2, the Keynote produced a higher average when blood sugar was 100 or below; and a lower average when blood sugar was above 100. Again, this indicates a lower standard deviation and fewer extreme values.
  4. The biggest difference in standard deviation was when blood sugar was above 100. I feel that this is very important, because that means high numbers are more accurate. As such, there is lower risk of over treating a high and thereby ending up low.

If anyone wants to offer any more observations they find in the data, feel free to leave a comment below. Try to keep the comments about the differences in Freestyle vs. Wavesense and not about my numbers/care/treatment/etc.




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