Abstract: A non-invasive blood glucose detection device and a measurement method based on a multi-technology integration is provided according to the disclosure. The device combines a near-infrared spectroscopy non-invasive blood glucose detection technology with a non-invasive blood glucose detection technology based on optical polarimetry, thus improving the detection sensitivity and accuracy, simultaneously inhibiting the influence of human background and individual differences. The AOTF can be used to achieve tunable light splitting and the output lights have two orthogonal linearly polarized light characteristics. The hardware for implementing the two methods are combined. Thus, the device has the advantages of simple structure, strong anti-interference ability and low cost. In addition, it combines the two methods on software by adopting a random forest algorithm and a data fusion algorithm, which effectively improves the prediction accuracy of non-invasive blood glucose concentration.

Abstract: A non-invasive blood glucose detection device and a measurement method based on a multi-technology integration is provided according to the disclosure. The device combines a near-infrared spectroscopy non-invasive blood glucose detection technology with a non-invasive blood glucose detection technology based on optical polarimetry, thus improving the detection sensitivity and accuracy, simultaneously inhibiting the influence of human background and individual differences. The AOTF can be used to achieve tunable light splitting and the output lights have two orthogonal linearly polarized light characteristics. The hardware for implementing the two methods are combined. Thus, the device has the advantages of simple structure, strong anti-interference ability and low cost. In addition, it combines the two methods on software by adopting a random forest algorithm and a data fusion algorithm, which effectively improves the prediction accuracy of non-invasive blood glucose concentration.