PID Control based on BP Neural Network for the Regulation of Blood Glucose Level in Diabetes

Li, Chengwei; Hu, Ruiqiang

doi:10.1109/bibe.2007.4375709

Cited by 20 publications

(13 citation statements)

References 4 publications

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“…As it can be seen in Fig. 5, our answer has reached the basal value quicker compared to [8]. Furthermore, results obtained from the proposed method have less error and more accuracy.…”

Section: Simulation and Resultssupporting

confidence: 48%

“…Weightcoefficients and other values that the above results have been obtained from are listed in table II. Considering table II, time margin(Tm) for the proposed method is 70 which is better than 87.5, which is the amount for the controller used in [8]. This demonstrates the faster speed of the proposed method.…”

Section: Simulation and Resultsmentioning

confidence: 59%

“…For adjusting the patient's blood glucose level, particle swarm optimization algorithm looks for a collection of answers that could force the blood glucose level to reach the optimum value of 70. In [8] an improved PID controller has been used to control the blood glucose level and we have considered that in order to compare the results. The result obtained from the proposed method comparing to [8] has been illustrated in Fig.…”

Section: Simulation and Resultsmentioning

confidence: 99%

“…In [8] an improved PID controller has been used to control the blood glucose level and we have considered that in order to compare the results. The result obtained from the proposed method comparing to [8] has been illustrated in Fig. 5.…”

Section: Simulation and Resultsmentioning

confidence: 99%

“…The Bergman model which consists of three encasements is the minimal model of the glucose-insulin system. This 3rd order model consists of blood's glucose compartment (G), blood's insulin compartment (I) and the far insulin's compartment (X) [8]. The Sorensen model consists of six compartments and 21 states.…”

Section: Mathematical Model Of a Type-1 Diabetesmentioning

confidence: 99%

See 4 more Smart Citations

An intelligent approach for optimal regulation of blood glucose level

Beyki

Javan

Kambiz

et al. 2010

2010 17th Iranian Conference of Biomedical Engineering (ICBME)

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Diabetes mellitus, a situation resulting from the inability of the pancreas in controlling blood glucose level, can lead to serious long-term complications and death. In this paper, the model of type-1 diabetes mellitus has been studied considering the inputs of the system which are daily meals and the amount of insulin injected. With the help of particle swarm optimization algorithm and the use of proposed controller based on the Hammerstein model, an optimized value of injected insulin has been determined in order to control blood glucose level. Results obtained have been compared to results of the classic controller, and that demonstrates improvement in operation of the proposed controller's algorithm.

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“…As it can be seen in Fig. 5, our answer has reached the basal value quicker compared to [8]. Furthermore, results obtained from the proposed method have less error and more accuracy.…”

Section: Simulation and Resultssupporting

confidence: 48%

Section: Simulation and Resultsmentioning

confidence: 59%