Complexity analysis by means of DFA (Detrended Fluctuation Analysis) may compute temporal data from CGM (Continuous Glucose Monitoring Devices) and be a strong predictor of type 2 diabetes development, as it can assess the risk of progression to a full set type 2 diabetes
Malfunctioning of the β-cells of the pancreas leads to the metabolic disease known as diabetes melli...
Continuous glucose monitoring is increasingly used in the management of diabetes. Subcutaneous gluco...
Chronic hyperglycemia and acute glucose fluctuations are the two main factors that trigger complicat...
Background Complexity analysis of glucose profile may provide valuable information about the gluco‐...
Patients admitted to critical care often experience dysglycemia and high levels of insulin resistanc...
Detrended Fluctuation Analysis (DFA) measures the complexity of a glucose time series obtained by me...
Nonlinear methods have been applied to the analysis of biological signals. Complexity analysis of gl...
BACKGROUND: The quantitative analysis of glucose time-series can greatly help the management of diab...
Methods from non-linear dynamics have enhanced understanding of functional dysregulation in various ...
<p>(A) Principal component (labeled “PC”) analysis of common measures used to describe glucose contr...
Context: The clinical significance of glucose complexity is not fully understood. Objective: We inve...
Continuous glucose monitoring is increasingly used in the management of diabetes. Subcutaneous gluco...
BACKGROUND: Critically ill patients often experience high levels of insulin resistance and stress-in...
The routine approach to evaluating the effectiveness of diabetes treatment based on the level of gly...
Abnormal glucose variability (GV) is a risk factor for diabetes complications, and tens of indices f...
Malfunctioning of the β-cells of the pancreas leads to the metabolic disease known as diabetes melli...
Continuous glucose monitoring is increasingly used in the management of diabetes. Subcutaneous gluco...
Chronic hyperglycemia and acute glucose fluctuations are the two main factors that trigger complicat...
Background Complexity analysis of glucose profile may provide valuable information about the gluco‐...
Patients admitted to critical care often experience dysglycemia and high levels of insulin resistanc...
Detrended Fluctuation Analysis (DFA) measures the complexity of a glucose time series obtained by me...
Nonlinear methods have been applied to the analysis of biological signals. Complexity analysis of gl...
BACKGROUND: The quantitative analysis of glucose time-series can greatly help the management of diab...
Methods from non-linear dynamics have enhanced understanding of functional dysregulation in various ...
<p>(A) Principal component (labeled “PC”) analysis of common measures used to describe glucose contr...
Context: The clinical significance of glucose complexity is not fully understood. Objective: We inve...
Continuous glucose monitoring is increasingly used in the management of diabetes. Subcutaneous gluco...
BACKGROUND: Critically ill patients often experience high levels of insulin resistance and stress-in...
The routine approach to evaluating the effectiveness of diabetes treatment based on the level of gly...
Abnormal glucose variability (GV) is a risk factor for diabetes complications, and tens of indices f...
Malfunctioning of the β-cells of the pancreas leads to the metabolic disease known as diabetes melli...
Continuous glucose monitoring is increasingly used in the management of diabetes. Subcutaneous gluco...
Chronic hyperglycemia and acute glucose fluctuations are the two main factors that trigger complicat...
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