Blood glucose prediction model self-correction method based on near-infrared light

Abstract

The invention relates to a blood glucose prediction model self-correction method based on near-infrared light, and belongs to the technical field of biomedical signal acquisition and processing. According to the method, the difference degree of two adjacent blood glucose predicted values detected based on a human body near infrared spectrum at a corresponding moment is used as a judgment basis; and according to the corresponding relation between the difference degree and an allowable value, on the basis of the human body blood glucose short-term fluctuation regularity, the living habits and the health states ofindividuals, a blood glucose detection abnormal point is automatically identified, a blood glucose noninvasive detection system automatically reminds a user to input the diet condition and the medication condition of the current day; the current physiological and pathological state of a testee is known by means of questioning, the system automatically evaluates and judges the generation reason of a blood glucose abnormal value, eliminates accidental factors; different blood glucose prediction model self-correction processes are enabled according to different reasons generated by the difference degree, so that it can be ensured that a blood glucose prediction model is always consistent with the current physiological and pathological state of the testee. According to the method of the invention, the precision stability of the noninvasive blood glucose detection system during long-time application can be maintained.

Description

technical field [0001] The invention belongs to the technical field of biomedical signal acquisition and processing, and relates to a self-calibration method based on a near-infrared light blood sugar non-invasive prediction model. Background technique [0002] With aging, diabetes has become one of the most important diseases that endanger human health and cause death. Under the premise that diabetes cannot be cured at present, how to more conveniently realize the monitoring and control of blood sugar concentration has far-reaching significance for the prevention and treatment of diabetes. [0003] At present, there are mainly two methods for blood glucose concentration measurement. One is the automatic biochemical instrument measurement method. This method takes blood from a vein, centrifuges the blood to obtain serum, and then uses a large biochemical instrument to measure the blood glucose concentration. This method has high measurement accuracy, but its measuring instr...

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Problems solved by technology

[0005] In view of this, the purpose of the present invention is to provide a self-calibration method of blood sugar prediction model based on near-infrared light, to solve the technical bottleneck of the application of non-invasive blood sugar detection instrument based on near-infrared spectrum, which is non-invasive, stable and accurate, easy to operate, and has no consumables— —The accuracy of single-point detection of blood glucose concentration and the correction of blood glucose prediction model in long-term application, based on the blood glucose prediction model of individual patient differences-average influence value of characteristic parameters-non-linear autoregressive neural network, through non-invasive detection of changes in blood glucose concentration Automatic evaluation of the cause, independently determine whether the blood glucose test value is included in the self-calibration learning database and whether it enters the self-calibration process, so as to realize the self-correction of the non-invasive blood glucose prediction model and ensure the prediction accuracy of the model when it is used for a long time

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