General blood glucose prediction method based on data modeling and model transplanting

A technology of data modeling and prediction methods, applied in the field of blood sugar data analysis and prediction research, to achieve the effects of improving prediction accuracy, reducing modeling costs, and being easy to implement

Active Publication Date: 2014-02-26
ZHEJIANG UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to provide a general blood sugar prediction method based on data modeling and model transplantation for the deficiencies of existing blood sugar prediction methods

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  • General blood glucose prediction method based on data modeling and model transplanting
  • General blood glucose prediction method based on data modeling and model transplanting
  • General blood glucose prediction method based on data modeling and model transplanting

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Embodiment Construction

[0035] Such as figure 1 As shown, the present invention is based on data modeling and the general blood sugar prediction method of model transplantation, and this method comprises the following steps:

[0036] Step 1: Modeling Signal Preprocessing

[0037] For the subcutaneous blood glucose signal of the individual obtained at a certain sampling period Δt, the insulin signal of the individual infused, and the dietary signal of the individual (here Δt=5min), they are combined into one-dimensional time series data G k×1 , I k×1 , M k×1 , where G, I, M are the measured values ​​of blood glucose signal, insulin signal and diet signal respectively, k is the number of samples obtained with the sampling period Δt, and the spike noise is removed. In this example, we have sampled signals from three groups of subjects. The first group is the youth group, the second group is the adult group, and the third group is the children group, with 10 people in each group, and a total of 30 peo...

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Abstract

The invention discloses a general blood glucose prediction method based on data modeling and model transplanting. The method includes analyzing a subcutaneous blood glucose measurement signal of a human body, insulin infused into the human body and food taken by the human body, extracting the relation between the signal, the insulin and the food and future blood glucose, applying the relation to a new object short of data size, adopting a traditional lease square method and a latent variable method to build a self-regression blood glucose prediction model with an external source, conducting comparison, and selecting a base model to achieve model transplanting based on the latent variable method with better prediction performance. In actual application, a user does not need to wait for acquisition of a sufficient blood glucose measurement signal to conduct remodeling aiming at a new object, a base model can be directly transplanted to the new object, real-time blood glucose prediction is achieved according to an imitative effect by adjusting model coefficients on line, and building workload and complexity are greatly simplified.

Description

technical field [0001] The invention belongs to the field of blood sugar data analysis and prediction research, in particular to a general blood sugar prediction method based on data modeling and model transplantation. Background technique [0002] A notable feature of human blood glucose level is time-varying, that is, there is a significant autocorrelation relationship between the measured values ​​of sequence signals. In addition, there is also a close correlation between exogenous input and blood glucose time series data. These two correlations are the basis and key to establish a blood glucose prediction model. [0003] Analyze and model blood sugar signals, externally input insulin signals and diet signals, and obtain future blood sugar changes based on historical measurements. At present, the establishment of blood glucose prediction models mostly adopts data-driven methods. Existing forecasting models can be divided into two types: linear (typically represented by...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 赵春晖喻成侠李文卿
Owner ZHEJIANG UNIV
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