It's not the independent, peer-reviewed study that wearable watchers have been waiting for, but Healbe has published lab test data that indicates its GoBe activity-tracking wristband can automatically divine the calories in the food we eat with an error rate of +/-13.5 percent.
Should you believe the numbers? It all depends on how much confidence you place in relatively shallow reporting.
The news comes via a brief Friday blog post in which Healbe explains that it tested 30 volunteers over the course of 44 individual experiments. The test subjects included 11 men and 19 women across a wide ranges of ages. During the 16-day study, Healbe tested its subjects on "2-5 variations of a typical mixed menu, including breakfast, a snack, lunch, and dinner."
It appears the actual caloric value of each meal was ascertained before consumption — Healbe says it compared food weight to established calories measurement tables. After each meal, Healbe checked the calorie consumption numbers reported by the GoBe wristbands, and cross-checked this information against data pulled from blood sample tests looking at blood glucose concentration.
When all was said and done, the company reports that its FLOW Technology algorithm was able to determine the calories that participants consumed within a 13.5 percent margin of error. Moreover, Healbe says, the actual types of macronutrients consumed has little effect on GoBe's overall calorie report. It would seem you can eat any combination of carbs, proteins and fats, and this "affects the accuracy of the overall calorie measurement in only 3.5-11.5% of cases," Healbe reports.
This would be quite a feat of algorithmic savvy considering that Healbe's sensor appears to be looking entirely at blood glucose levels. You can eat a 16-ounce steak — packed with calories to be sure — but those calories would be tied to proteins, not sugars. What's more, medical experts have already told me that a simple impedance sensor (basically a sensor that measures fluid levels in body tissue) is incapable of accurate blood glucose concentration measurements.
"The physical reality is, this is just ridiculous," Ries Robinson told me in March (you can read the full report here). Robinson has a medical degree from the University of New Mexico, a Masters in mechanical engineering from Stanford, and more than 20 years experience in developing systems for the optical measurement of body tissue. "It doesn't work at a medical level. It doesn't work at a practical level," Robinson says of GoBe's claims.
Nonetheless, Healbe is confidently, defiantly sticking to its original Indiegogo story that its $300 wearable can automatically determine the calories in the food you eat — all "through your skin, with no manual logging, no estimates, and no error-prone guesswork." As Healbe managing director George Mikaberydze told TechHive in June, the system looks at blood glucose absorption and elevation rates, and then uses an algorithm to differentiate between fats, proteins and carbs. In the following video, Mikaberydze explains:
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