Events

February 24th, 2012
Barcelona, Spain

4th Advanced Technologies & Treatments for Diabetes (ATTD)

Oral Presentation : Towards a Truly Non-Invasive Homebased Glucose Monitor

Typically, Non-Invasive (NI) glucose monitoring utilizes a single method for tracking physiological phenomena correlated with blood glucose. Due to the indirect nature of measurement and lack of glucose specificity, NI methods usually suffer from impaired accuracy and are particularly susceptible to interferences introduced by users’ impact and varied environmental conditions. Consequently, insusceptibility to the above interferences determines reliability and accuracy of home use designated NI glucose monitors.

Multi-technologies approach is utilized to decrease errors derived from each technology separately, thereby increasing the integrated glucose reading accuracy, compared with the accuracy achieved by a single technology. Multi-sensors input promotes identification of different environmental conditions; algorithmic solution accounts for these data in the glucose result calculation.  Users’ impact is reduced through measurement simplicity and minimization of user involvement. Combination of the above methods was evaluated in clinic (116 subjects: 14 type 1 and 102 type 2, 52 F and 64 M, age 21 to 81 years and BMI span from 19.5 to 41.1 Kg/m2) as well as in real home/ home alike (24 subjects: 3 type 1 and 21 type 2, 8 F and 16 M, age 22 to 72 years and BMI span from 19.5 to 41.1 Kg/m2) environments.

Clarke Error Grid analysis of the 2364 paired data measurements obtained in the clinic group shows 96% of the points in the clinically accepted A and B zones (59% in the A zone,  37% in the B zone, 2% in the C zone and  2% in the D zone). Mean Average relative difference value was 23.3%. Clarke Error Grid analysis of the 1306 paired data measurements obtained in the home group shows 97% of the points in the clinically accepted A and B zones (54% in the A zone,  43% in the B zone, 2% in the C zone and  1% in the D zone). Mean Average relative difference value was 25.0%.

The study demonstrates that users are able to easily operate the device and express willingness for frequent usage. Results demonstrate validity of multi-sensor and multi-technology approach which increases insusceptibility to environment conditions and minimizes users’ impact. Based on subjects’ feedback, such a device can be beneficial for diabetics in improving monitoring adherence and allow diabetics a frequent and painless way to monitor and track their BG, leading to tighter glucose control.

 

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