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Online fault detection method for continuous blood glucose monitoring sensor based on multi-model fusion

A technology of blood glucose monitoring and sensors, which is applied in the field of online fault detection of continuous blood glucose monitoring sensors based on multi-model fusion, can solve the problems of low accuracy of detection results and achieve the effect of reducing the impact

Active Publication Date: 2020-05-22
NORTHEASTERN UNIV LIAONING
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Problems solved by technology

[0005] In view of the existing technical problems, the present invention provides an online fault detection method for continuous blood glucose monitoring sensors based on multi-model fusion, which solves the problems of low accuracy of detection results in the prior art

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  • Online fault detection method for continuous blood glucose monitoring sensor based on multi-model fusion
  • Online fault detection method for continuous blood glucose monitoring sensor based on multi-model fusion
  • Online fault detection method for continuous blood glucose monitoring sensor based on multi-model fusion

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[0074] In order to better explain the present invention and facilitate understanding, the present invention will be described in detail below through specific embodiments in conjunction with the accompanying drawings.

[0075] Such as figure 1 and Figure 4 As shown: this embodiment discloses a continuous blood glucose monitoring sensor online fault detection method based on multi-model fusion, including the following steps:

[0076] S1. Obtain online CGM monitoring signal data;

[0077] S2. Input the obtained online CGM monitoring signal data into the multi-model fusion algorithm model to obtain the online prediction error;

[0078] S3. Combining the obtained online prediction error and historical prediction error to calculate the entropy value at the online moment;

[0079] S4, the entropy value J obtained by calculating the online moment i1 、J i2 Respectively with the threshold T of the current moment kl1 , T kl2 Compare;

[0080] If the current entropy value J i1 ...

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Abstract

The invention relates to an online fault detection method for a continuous blood glucose monitoring sensor based on multi-model fusion, which includes the following steps: S1, obtain online CGM monitoring signal data; S2, input the obtained online CGM monitoring signal data into a multi-model fusion algorithm model, Obtain the online prediction error; S3. Combine the obtained online prediction error and the historical prediction error to calculate the entropy value of the online time; S4. Calculate the entropy value of the online time J i1 ,J i2 respectively with the threshold T at the current moment kl1 ,T kl2 Compare; if the entropy value at the current moment is J i1 ,J i2 Not all are greater than the threshold T at the current moment kl1 ,T kl2 , then it is judged that the current blood glucose monitoring sensor is working normally; if the entropy value J at the current moment i1 ,J i2 are greater than the threshold T at the current moment kl1 ,T kl2 , then it is judged that the current blood glucose monitoring sensor is working abnormally. The detection method provided by the invention has the advantage of high detection accuracy.

Description

technical field [0001] The invention belongs to the technical field of blood sugar monitoring, in particular to an online fault detection method for continuous blood sugar monitoring sensors based on multi-model fusion. Background technique [0002] The artificial pancreas (AP) system provides automatic regulation of blood glucose concentration (BGC) for type 1 diabetes (T1D) patients, and it mainly consists of three parts: continuous glucose monitoring (CGM) sensor, control of insulin infusion rate calculated based on CGM signal controller, and an insulin pump that delivers the amount of insulin calculated by the controller to the patient. Patients with T1D can have a more comprehensive understanding of blood sugar fluctuations through continuous monitoring of blood sugar, so as to better control blood sugar. However, in real life, the measurement results of the continuous blood glucose monitoring sensor are affected by many factors, resulting in inaccurate measurement res...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N33/66
CPCG01N33/66
Inventor 于霞崔悦刘建昌
Owner NORTHEASTERN UNIV LIAONING
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