The accuracy of a non-invasive glucose monitoring device does not depend on clinical characteristics of people with type 2 diabetes mellitus

Figures & data

Table 1. Participants' clinical characteristics and the number of paired GlucoTrack-invasive readings.

Category	No. of subjects	No. of paired readings
Smoking history
Former/current smokers	44	2002
Never smokers	70	3111
HbA1c level (%)^a
≤7.5	58	2588
>7.5	42	1872
Diabetes duration (years)
0-5	10	801
5–10	25	1404
10–15	25	1605
>15	29	1303
Total	114	5113

^a The data was available from 100 participants.

Figure 1. GlucoTrack non-invasive monitoring device. A. The device includes a main unit and three different sensor pairs, one per each of the three technologies, all located at the tip of a personal ear clip (PEC). B. Illustration of glucose measurement performance using GlucoTrack. The PEC is clipped to the earlobe for spot measurement.

Figure 2. Clinical accuracy assessed by CEG as function of A. Diabetes duration, B. HbA1c, and C. Smoking history.

Figure 3. Numerical accuracy as function of A. Diabetes duration, B. HbA1c, and C. Smoking history: Mean ARD, its model-based upper and lower 95% confidence intervals and median ARD.