Noninvasive blood glucose detection method and device based on differential temperature state monitoring
A state monitoring and blood sugar detection technology, which is applied in the field of blood sugar detection, can solve the problem that blood sugar detection technology cannot provide accurate blood sugar values, and achieve the effects of improving the minimum resolution, wide applicability, and improving accuracy
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Embodiment 1
[0081] Refer to attached figure 1 As shown, the present invention relates to a non-invasive blood glucose detection method based on differential temperature state monitoring comprising the following steps:
[0082] 1) Cool the skin in some areas of the test site, and use non-invasive blood glucose collection equipment to collect the low temperature data matrix of the skin in the cooling area and the normal temperature data matrix of the skin in the non-cooling area. Data curve representation, arrange the low temperature data matrix and the normal temperature data matrix to obtain the low temperature data column matrix and the normal temperature data column matrix;
[0083] Refer to attached figure 2 As shown, the above-mentioned non-invasive blood glucose collection equipment includes:
[0084] A low temperature sensor array, including a plurality of low temperature sensors, used to collect low temperature data of the skin in the cooling area;
[0085] A normal temperature...
Embodiment 2
[0142] refer to Figure 4 , the present invention also relates to a non-invasive blood glucose detection device based on differential temperature state monitoring, which includes:
[0143] 1) The acquisition module is used to collect the low temperature data matrix of the skin in the cooling area and the normal temperature data matrix of the skin in the non-cooling area. The matrix is arranged to obtain a low temperature data column matrix and a normal temperature data column matrix; the acquisition module is used to realize the function of step 1) of the first embodiment.
[0144] 2) The first fitting module is used to take the sampling sequence as the abscissa and the column matrix value as the ordinate to perform curve fitting on the two column matrices respectively to obtain the fitted low temperature data curve and the fitted normal temperature data Curve; the first fitting module is used to realize the function of step 2) of the first embodiment.
[0145] 3) The temp...
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