Blood glucose concentration prediction method

Abstract

The invention discloses a blood glucose concentration prediction method. In the method, the influence of measurement conditions, human body physiological backgrounds and the like on blood glucose concentration measurement can be comprehensively taken into account, according to physiological data, spectral data, blood glucose concentration truth value and non-blood-glucose concentration data of many sample testees, based on a multivariate calibration method, a blood glucose concentration prediction model based on an 'M+N' theory is established, and through the model, the prediction precision of blood glucose concentration can be effectively improved.

Description

technical field [0001] The invention relates to a method for predicting blood sugar concentration, more specifically, to a method for predicting blood sugar concentration based on the "M+N" theory. Background technique [0002] Blood sugar is an extremely important physiological indicator of the human body, and it is of great significance to maintain the normal physiological functions of the body, especially the brain and nerves. At present, the blood glucose concentration measurement methods mainly include automatic biochemical meter measurement method and rapid blood glucose meter measurement method, both of which are used to detect blood glucose level by blood collection, which will bring trauma to patients and is not conducive to long-term blood glucose monitoring of patients. Therefore, non-invasive blood glucose detection The realization of this has very important practical significance. [0003] However, due to the influence of factors such as weak signals, complex c...

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Problems solved by technology

At present, the blood glucose concentration measurement methods mainly include automatic biochemical meter measurement method and rapid blood glucose meter measurement method, both of which are used to detect blood glucose level by blood collection, which will bring trauma to patients and is not conducive to long-term blood glucose monitoring of patients. Therefore, non-invasive blood glucose detection It is of great practical significance to realize

[0003] However, due to the influence of factors such as weak signals, complex changes in measurement conditions, human physiological indicators and non-measurement components in blood on the measurement, the prediction accuracy of blood sugar is not high, and it cannot meet the needs of clinical use. the puzzle

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