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1.
Journal of Biomedical Engineering ; (6): 158-165, 2022.
Artigo em Chinês | WPRIM | ID: wpr-928210

RESUMO

Most of the existing near-infrared noninvasive blood glucose detection models focus on the relationship between near-infrared absorbance and blood glucose concentration, but do not consider the impact of human physiological state on blood glucose concentration. In order to improve the performance of prediction model, particle swarm optimization (PSO) algorithm was used to train the structure paramters of back propagation (BP) neural network. Moreover, systolic blood pressure, pulse rate, body temperature and 1 550 nm absorbance were introduced as input variables of blood glucose concentration prediction model, and BP neural network was used as prediction model. In order to solve the problem that traditional BP neural network is easy to fall into local optimization, a hybrid model based on PSO-BP was introduced in this paper. The results showed that the prediction effect of PSO-BP model was better than that of traditional BP neural network. The prediction root mean square error and correlation coefficient of ten-fold cross-validation were 0.95 mmol/L and 0.74, respectively. The Clarke error grid analysis results showed that the proportion of model prediction results falling into region A was 84.39%, and the proportion falling into region B was 15.61%, which met the clinical requirements. The model can quickly measure the blood glucose concentration of the subject, and has relatively high accuracy.


Assuntos
Humanos , Algoritmos , Glicemia , Redes Neurais de Computação
2.
Korean Journal of Anesthesiology ; : 591-595, 2017.
Artigo em Inglês | WPRIM | ID: wpr-158034

RESUMO

Hyperglycemia is commonly observed in critical illness. A landmark large randomized controlled trial (RCT) reported that the incidence of hyperglycemia (blood glucose concentration > 108 mg/dl) was as high as 97.2% in critically ill patients. During the past two decades, a number of RCTs and several meta-analyses and network meta-analyses have been conducted to determine the optimal target for acute glycemic control. The results of those studies suggest that serum glucose concentration would be better to be maintained between 144 and 180 mg/dl. Although there have been studies showing an association of hypoglycemia with worsened clinical outcomes, a causal link has yet to be confirmed. Nonetheless, some researchers are of the view that the data suggest even mild hypoglycemia should be avoided in critically ill patients. Since acutely ill patients who receive insulin infusion are at a higher risk of hypoglycemia, a reliable devices for measuring blood glucose concentrations, such as an arterial blood gas analyzer, should be used frequently. Acute glycemic control in patients with premorbid hyperglycemia is a novel issue. Available literature suggests that blood glucose concentrations considered to be desirable and/or safe in non-diabetic critically ill patients might not be desirable in patients with diabetes. Moreover, the optimal target for acute blood glucose control may be higher in critically ill patients with premorbid hyperglycemia. Further study is required to assess optimal blood glucose control in acutely ill patients with premorbid hyperglycemia.


Assuntos
Humanos , Glicemia , Estado Terminal , Diabetes Mellitus , Glucose , Hiperglicemia , Hipoglicemia , Incidência , Insulina
3.
Artigo em Inglês | IMSEAR | ID: sea-152358

RESUMO

Aims: The study aims at comparing observed values of glucose and various common clinical chemistry examinations in sample containers with different glycolysis inhibitor – Glyceraldehyde. Materials And Methods: Prepare sample conainers with alternate glycolysis inhibitors.Collect blood samples in prepared sample containers (systematic sampling of 100 consenting patients admitted at various wards of New civil Hospital,Surat for each perservative).Observe values of various examinations in collected samples. Statistical Analysis Used: Perform two-sample Student's t-test on observed sets of data. Results: Average Glucose concentration in 5 mmol/L DL-Glyceraldehyde, Fluoride and Plain tube each was 118.78 mg/dl, 121.84 mg/dl and 100.24 mg/dl respectively after 8 hours. P-value for glyceraldehyde tube vs. Fluoride tube was 0.64737, P-value for glyceraldehyde tube vs. Plain tube was 0.00796 and P-value for Fluoride tube vs. Plain tube was 0.00187. P-value for Bilirubin, ALT,ALP, Amylase,Electrolytes, Triglycerides, Cholesterol, HDL Cholesterol, Urea, Uric Acid, Albumin, Total Proteins were unaffected by DL-Glyceraldehyde, while there was negative interferance with Creatinine measurement by Alkaline Picrate method. Conclusions: Use of DL-Glyceraldehyde containers for preservation of blood for Glucose measurement is as good as fluoride containers. Because Glyceraldehyde interfere with creatinine assay by Alkaline Picrate method and pottasium assay by ISE , Glyceraldehyde containers can not replace Plain tube for common routine clinical chemistry analysis.

4.
International Journal of Biomedical Engineering ; (6): 222-226, 2008.
Artigo em Chinês | WPRIM | ID: wpr-399394

RESUMO

This review describes the main technology for non-invasive glucose monitoring and introduces relevent devices.For technology,the physical principle underlying the techniques,the limitations,the measurement sites and their individual features are considered.For devices,the information listed are their approval condition (FDA Approval and/or CE Mark),the techniques adapted the manufacturer and the information available about the device on the internet.From what we reviewed,although some promising techniques and devices are already available,further efforts are still required to reach a satisfactory solution to the non-invasive glucose measurement problem.

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