Is the Response of Continuous Glucose Monitors to Physiological Changes in Blood Glucose Levels Affected by Sensor Life?

2012 ◽  
Vol 14 (2) ◽  
pp. 135-142 ◽  
Author(s):  
Katherine E. Iscoe ◽  
Raymond J. Davey ◽  
Paul A. Fournier
Keyword(s):  
Blood Glucose ◽  
Physiological Changes ◽  
Glucose Levels ◽  
Blood Glucose Levels ◽  
Continuous Glucose Monitors

Investigating the Efficacy of Using Hand Tremors for Early Detection of Hypoglycemic Events: A Scoping Literature Review

2018 ◽  
Vol 62 (1) ◽  
pp. 1211-1215 ◽  
Author(s):  
Karim Zahed ◽  
Farzan Sasangohar ◽  
Ranjana Mehta ◽  
Madhav Erraguntla ◽  
Mark Lawley ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Early Detection ◽  
Diabetic Patients ◽  
Medium Frequency ◽  
Hand Tremor ◽  
Glucose Levels ◽  
Blood Glucose Levels ◽  
Scoping Literature Review ◽  
Continuous Glucose Monitors ◽  
The Relationship

Diabetes is a prevalent condition affecting millions of patients globally. Some diabetic patients suffer from a deadly condition called Hypoglycemia (sudden drop in blood glucose levels). Continuous Glucose Monitors (CGMs) have been the most pervasive tool used to track blood glucose levels but these tools are invasive and costly. While early detection of hypoglycemia has been studied, current approaches do not leverage tremors; which are a primary symptom of hypoglycemia. A scoping review was conducted to understand the relationship between tremors and hypoglycemia, and to document any efforts that utilized tremor signatures non-invasively to detect hypoglycemic events. Findings suggest that hypoglycemic tremors are a medium frequency tremor, more resistant to hypoglycemic impairment than other symptoms, and have not been fully explored yet. This paper also documents the work in progress to utilize a novel wearable device that predicts the onsets of hypoglycemia using hand tremor sensing.

Modeling continuous glucose monitoring (CGM) data during sleep

Biostatistics ◽  
2020 ◽  
Author(s):  
Irina Gaynanova ◽  
Naresh Punjabi ◽  
Ciprian Crainiceanu
Keyword(s):  
Blood Glucose ◽  
Sleep Onset ◽  
Glucose Monitoring ◽  
Model Parameters ◽  
Glucose Levels ◽  
Blood Glucose Levels ◽  
Continuous Glucose Monitors ◽  
Study Participants ◽  
Glucose Dynamics

Summary We introduce a multilevel functional Beta model to quantify the blood glucose levels measured by continuous glucose monitors for multiple days in study participants with type 2 diabetes mellitus. The model estimates the subject-specific marginal quantiles, quantifies the within- and between-subject variability, and produces interpretable parameters of blood glucose dynamics as a function of time from the actigraphy-estimated sleep onset. Results are validated via simulations and by studying the association between the estimated model parameters and hemoglobin A1c, the gold standard for assessing glucose control in diabetes.

The Changes in Blood Glucose in Pleuronectes Platessa Following Capture From The Wild: A Stress Reaction

1972 ◽  
Vol 52 (3) ◽  
pp. 635-651 ◽  
Author(s):  
C. S. Wardle
Keyword(s):  
Blood Glucose ◽  
Carbohydrate Metabolism ◽  
Pancreatic Islet ◽  
Stress Reaction ◽  
Control Mechanisms ◽  
Physiological Changes ◽  
Glucose Levels ◽  
Blood Glucose Levels ◽  
Islet Tissue ◽  
Teleost Muscle

Changes in blood glucose levels in teleosts have been reviewed by a number of workers. Epple (1969) considered the regulation of glucose by the insulin of the fish pancreatic islet tissue, Nakano & Tomlinson (1967) examined the regulation of glucose by the catecholamines, Black, Robertson & Parker (1961) considered glucose in carbohydrate metabolism of teleost muscle, while knowledge of regulation of blood glucose in Chondrichthyans has recently been extended and reviewed by Patent (1968, 1970). The investigation of blood glucose levels and their control mechanisms dealt with in this paper forms part of a broader study of the changes that occur when fish are caught from the wild and placed in aquaria (Wardle, 1968, 1971, and unpublished). In this study, capture is considered as a stimulus imposed on the wild fish, which initiates a series of physiological changes that can be measured as the fish adapts to the aquarium.

Predicting Blood Glucose Levels Around Meals for Patients With Type I Diabetes

2010 ◽  
Author(s):  
Fraser Cameron ◽  
Gu¨nter Niemeyer
Keyword(s):  
Blood Glucose ◽  
Type I Diabetes ◽  
Type I ◽  
Start Time ◽  
Predictive Algorithm ◽  
Glucose Levels ◽  
Blood Glucose Levels ◽  
Multiple Hypothesis ◽  
Continuous Glucose Monitors

Insulin pumps and continuous glucose monitors enable automatic control of blood glucose (BG) levels for patients with type 1 diabetes. Such controllers should carefully assess the likely future BG levels before injecting insulin, since the effects of insulin are prolonged, potentially deadly, and irreversible. Meals pose a strong challenge to this assessment as they create large, fast disturbances. Fortunately, meals have consistent and predictable effects, if their size and start time are known. We present a predictive algorithm that embeds meal detection and estimation into BG prediction. It uses a multiple hypothesis fault detector to identify meal occurrences, and linear Kalman filters to estimate meal sizes. It extrapolates and combines the state and state covariance estimates to form a prediction of BG values and uncertainties. These inputs enable controllers to assess and trade off the acute risks of low and chronic risks of high BG levels. We evaluate the predictor on simulated and clinical data.

Intraoperative Changes in Blood Glucose Levels Increase the Risk of Death in Cardiac Surgery

2006 ◽  
Vol 31 (03) ◽  
Author(s):  
H Hager ◽  
E Giorni ◽  
A Felli ◽  
B Mora ◽  
M Hiesmayr ◽  
...  
Keyword(s):  
Cardiac Surgery ◽  
Blood Glucose ◽  
Glucose Levels ◽  
Risk Of Death ◽  
Blood Glucose Levels

2167-PUB: Effect of Low-Available Carbohydrate Diet Containing Okara and Konjac on Blood Glucose Levels in Spontaneous Diabetic Torii Fatty Rats

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 2167-PUB
Author(s):  
KOHEI SURUGA ◽  
TSUYOSHI TOMITA ◽  
MASAKAZU KOBAYASHI ◽  
TADAHIKO MITSUI ◽  
KAZUNARI KADOKURA
Keyword(s):  
Blood Glucose ◽  
Carbohydrate Diet ◽  
Glucose Levels ◽  
Blood Glucose Levels

776-P: Characteristics of Overnight Blood Glucose Levels Are Related to Sleep Quality in People with Type 1 Diabetes

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 776-P
Author(s):  
RACHEL BRANDT ◽  
MINSUN PARK ◽  
LAURIE T. QUINN ◽  
MINSEUNG CHU ◽  
YOUNGKWAN SONG ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Blood Glucose ◽  
Sleep Quality ◽  
Glucose Levels ◽  
Blood Glucose Levels

Study of Diabetic Mellitus and Knowledge of Lotion Foot Care on the Community

2018 ◽  
Vol 9 (3) ◽  
Author(s):  
Hariyadi DM ◽  
Athiyah U ◽  
Hendradi E ◽  
Rosita N ◽  
Erawati T ◽  
...  
Keyword(s):  
Blood Glucose ◽  
T Test ◽  
Small Scale ◽  
Scale Production ◽  
Foot Care ◽  
Diabetic Mellitus ◽  
Glucose Levels ◽  
Blood Glucose Levels ◽  
Before And After ◽  
History Of

The prevention of Diabetic Mellitus (DM) and its complications is the main aim of this study, in addition to the training of lotion foot care application and the development of small scale industry. The research team delivered knowledge in the form of training on Diabetic Mellitus, healthy food, treatment and prevention of complications, and small-scale production of cosmetic products. The aim of this study was to determine the correlation between training on diabetic and lotion foot care application as preventive measures against diabetic complications on the patient's blood glucose levels in the community of residents in Banyuurip Jaya, Surabaya. It was expected from this training that the knowledge of the residents increases and people living with diabetic undergo lifestyle changes and therefore blood sugar levels can be controlled. The parameters measured in this research were blood glucose levels, the anti diabetic drug types consumed, and compliance on diabetics. This study used the data taken from 60 patients with DM over a period of one month. Questionnaires and log books was used to retrieve data and changes in blood glucose levels in diabetic patients. The results showed the demographic data of patients with type 2 diabetic of 85% female and 15% male, with the range of patients aged of 61-70 years of 46.67% and had history of diabetic (90%). The history of drugs consumed by respondents was anti diabetic drugs such as metformin (40%), glimepiride (33.37%) and insulin (6.67%). In addition, the increased knowledge of DM patients after being given the training compared to before training was shown in several questions in the questionnaire. A statistical analysis using t-test analyzed a correlation between training provided in order to enhance understanding of the patient, as well as correlation with blood glucose levels. A paired T-test showed that there was a relationship between the knowledge of trainees before and after training (p less than 0.05). An interesting result was that there was no relationship between blood glucose levels before and after training provided (p> 0.05).

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