Universal blood glucose prediction method based on frequency band separation and data modeling
A technology of frequency band separation and data modeling, applied in the field of blood glucose data analysis and prediction research, to achieve the effect of improving prediction accuracy, easy implementation, and simplifying modeling workload and complexity
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[0034] Such as figure 1 As shown, the present invention is based on the general blood sugar prediction method of frequency band separation and data modeling, and this method comprises the following steps:
[0035] Step 1: Modeling Glucose Signal Preprocessing
[0036] For individual subcutaneous blood glucose signals obtained with a certain sampling period Δt (here Δt=5min), it can be combined into one-dimensional time series data x T (1×Z), where x is the measured value of the blood glucose signal, Z is the number of samples, and the spike noise is removed. The one-dimensional time-series data contains the time-series correlation and dynamic change information of the blood glucose signal. In this example, we share blood glucose time series signals from two groups of subjects. Group 1 includes 12 people, group 2 includes 14 people, and there are 26 people in total in both groups. The blood glucose time-series signal for each subject included two or three days of data. The ...
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