scholarly journals Blood Glucose Measurement Using Bioimpedance Technique

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
D. K. Kamat ◽  
Dhanashri Bagul ◽  
P. M. Patil
Keyword(s):  
Blood Glucose ◽  
Impedance Measurement ◽  
Blood Glucose Measurement ◽  
Glucose Measurement ◽  
Wide Field ◽  
I2c Bus ◽  
Physical Injuries ◽  
Biomedical Systems ◽  
Bioimpedance Measurement ◽  
Invasive Measurement

Bioimpedance measurement is gaining importance in wide field of bioresearch and biomedical systems due to its noninvasive nature. Noninvasive measurement method is very important to decrease infection and physical injuries which result due to invasive measurement. This paper presents basic principle of bioimpedance along with its application for blood glucose analysis and effect of frequency on impedance measurement. Input from bioimpedance sensor is given to amplifier and signal conditioner AD5933. AD5933 is then interfaced with microcontroller LPC1768 using I2C bus for displaying reading on LCD. Results can also be stored in database using UART interface of LPC1768.

Method and device for noninvasive blood glucose measurement

1999 ◽  
Author(s):  
Airat K. Amerov ◽  
Kye Jin Jeon ◽  
Yoen-Joo Kim ◽  
Gilwon Yoon
Keyword(s):  
Blood Glucose ◽  
Blood Glucose Measurement ◽  
Glucose Measurement

scholarly journals NOVEL APPROACHES TO NON-INVASIVE BLOOD GLUCOSE MEASUREMENT

2017 ◽  
Vol 16 (2) ◽  
pp. 59-64
Author(s):  
Kh. A. Kurdanov ◽  
A. D. Elbaev ◽  
A. D. Elbaeva ◽  
R. I. Elbaeva
Keyword(s):  
Blood Glucose ◽  
Blood Glucose Measurement ◽  
Glucose Measurement ◽  
Non Invasive ◽  
Novel Approaches

scholarly journals Risk Factors for Adverse Neurodevelopment in Transient or Persistent Congenital Hyperinsulinism

2020 ◽  
Vol 11 ◽  
Author(s):  
Marcia Roeper ◽  
Roschan Salimi Dafsari ◽  
Henrike Hoermann ◽  
Ertan Mayatepek ◽  
Sebastian Kummer ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Glucose ◽  
Birth Weight ◽  
Brain Injury ◽  
Blood Glucose Measurement ◽  
Mean Difference ◽  
Glucose Measurement ◽  
Congenital Hyperinsulinism ◽  
Initial Symptoms ◽  
Long Term Treatment

ObjectiveAim was to identify hypotheses why adverse neurodevelopment still occurs in children with transient or persistent hyperinsulinism despite improvements in long-term treatment options during the last decades.Material and MethodsA retrospective review of 87 children with transient (n=37) or persistent congenital hyperinsulinism (CHI) (n=50) was conducted at the University Children’s Hospital Duesseldorf, Germany. Possible risk factors for neurodevelopmental sequelae due to hypoglycemia were analyzed with a focus on the first days after onset of disease.ResultsMedian age at follow-up was 7 years (IQR 8). Adverse neurodevelopmental outcome was seen in 34.5% (n=30) of all CHI patients. Fifteen had mildly abnormal neurodevelopment and 15 had a severe hypoglycemic brain injury. In univariate analysis, mildly abnormal neurodevelopment was associated with the diagnosis of persistent CHI (odds ratio (OR) 8.3; p=0.004) and higher birth weight (mean difference 1049 g; p<0.001). Severe hypoglycemic brain injury was associated with the diagnosis of persistent CHI (OR 5.1; p=0.013), being born abroad (OR 18.3; p<0.001) or in a lower-level maternity hospital (OR 4.8; p=0.039), and of note history of hypoglycemic seizures (OR 13.0; p=<0.001), and a delay between first symptoms of hypoglycemia and first blood glucose measurement/initiation of treatment (OR 10.7; p<0.001). Children with severe hypoglycemic brain injury had lower recorded blood glucose (mean difference -8.34 mg/dl; p=0.022) and higher birth weight than children with normal development (mean difference 829 g; p=0.012). In multivariate binary logistic regression models, lowest blood glucose <20 mg/dl (OR 134.3; p=0.004), a delay between initial symptoms and first blood glucose measurement/initiation of treatment (OR 71.7; p=0.017) and hypoglycemic seizures (OR 12.9; p=0.008) were positively correlated with severe brain injury. Analysis showed that the odds for brain injury decreased by 15% (OR 0.85; p=0.035) if the blood glucose increased by one unit.ConclusionWhile some risk factors for adverse outcome in CHI are not influenceable, others like lowest recorded blood glucose values <20 mg/dl, hypoglycemic seizures, and insufficiently—or even untreated hypoglycemia can be avoided. Future guidelines for management of neonatal hypoglycemia should address this by ensuring early identification and immediate treatment with appropriate escalation steps.

scholarly journals Discrepancies Between Blood Glucose and Interstitial Glucose—Technological Artifacts or Physiology: Implications for Selection of the Appropriate Therapeutic Target

2017 ◽  
Vol 11 (4) ◽  
pp. 766-772 ◽  
Author(s):  
Thorsten Siegmund ◽  
Lutz Heinemann ◽  
Ralf Kolassa ◽  
Andreas Thomas
Keyword(s):  
Blood Glucose ◽  
Therapeutic Target ◽  
Diabetes Management ◽  
Glucose Monitoring ◽  
Blood Glucose Measurement ◽  
Glucose Measurement ◽  
Glucose Levels ◽  
Therapeutic Decisions ◽  
The Impact ◽  
Selection Of

Background: For decades, the major source of information used to make therapeutic decisions by patients with diabetes has been glucose measurements using capillary blood samples. Knowledge gained from clinical studies, for example, on the impact of metabolic control on diabetes-related complications, is based on such measurements. Different to traditional blood glucose measurement systems, systems for continuous glucose monitoring (CGM) measure glucose in interstitial fluid (ISF). The assumption is that glucose levels in blood and ISF are practically the same and that the information provided can be used interchangeably. Thus, therapeutic decisions, that is, the selection of insulin doses, are based on CGM system results interpreted as though they were blood glucose values. Methods: We performed a more detailed analysis and interpretation of glucose profiles obtained with CGM in situations with high glucose dynamics to evaluate this potentially misleading assumption. Results: Considering physical activity, hypoglycemic episodes, and meal-related differences between glucose levels in blood and ISF uncover clinically relevant differences that can make it risky from a therapeutic point of view to use blood glucose for therapeutic decisions. Conclusions: Further systematic and structured evaluation as to whether the use of ISF glucose is more safe and efficient when it comes to acute therapeutic decisions is necessary. These data might also have a higher prognostic relevance when it comes to long-term metabolic consequences of diabetes. In the long run, it may be reasonable to abandon blood glucose measurements as the basis for diabetes management and switch to using ISF glucose as the appropriate therapeutic target.

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