ブドウ糖代謝系数理モデルを組み込んだカオスモデル予測法による血糖値制御

概要

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To date, there has been no standard method for predicting blood glucose in clinical use. In this paper, we discuss the development of a new controlling method that can improve the hyperglycemia state in Type II diabetes. Since the fasting blood glucose level is regulated by the balance of insulin secretion and resistance, a chaotic model is created by embedding the theorem of Takens from a stabilized time series of the fasting blood glucose level incorporating the mathematical model of the glucose-insulin metabolism. The fasting blood glucose level of the next morning can be predicted using a semi-fuzzy reconstruction method, and the optimal amount for the insulin injection before going to bed can also be calculated from the prediction. As a result, patients can regulate their lifestyle using this quantitative perspective. Under this regulation, both the chaotic model and the prediction become more stable and accurate over a long period of use.
社団法人日本生体医工学会の論文
2004-12-10