Systems, methods for hyperglycemia and hypoglycemia, glucose variability, and ineffective self-monitoring

A hyperglycemia, time-period technology applied in the field of glucose monitoring

Active Publication Date: 2008-10-08
UNIV OF VIRGINIA ALUMNI PATENTS FOUND +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the premise of this intervention is to reduce the risk of SH, it requires close patient monitoring to ensure that metabolic control is not compromised

Method used

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  • Systems, methods for hyperglycemia and hypoglycemia, glucose variability, and ineffective self-monitoring
  • Systems, methods for hyperglycemia and hypoglycemia, glucose variability, and ineffective self-monitoring
  • Systems, methods for hyperglycemia and hypoglycemia, glucose variability, and ineffective self-monitoring

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example

[0133] Figure 4-6 Calculations to identify temporal patterns of hyperglycemia are shown. exist Figure 4 In , the overnight period was identified as a high-risk period for hyperglycemia. exist Figure 5 , two time periods, 3-7PM and 7-11PM, were identified as high-risk periods for hyperglycemia. exist Image 6 In , the time period from 11PM to 11AM was identified as a high risk period for hypoglycemia.

[0134] 2. Algorithms to identify patterns of increased glucose variability from SMBG data

[0135] The logic of the algorithm to identify patterns of increased glucose variability is similar to the logic of the algorithm to identify patterns of hyperglycemia. However, instead of measuring mean BG, the test included a measure of variability within each time period. For example, such a measure could be the standard deviation (SD) of the BG, or the risk standard deviation (RSD) of these values ​​converted into a risk space (28). In this implementation, we use RSD becau...

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Abstract

A method, system, and computer program product related to the maintenance of optimal control of diabetes, and is directed to predicting patterns of hypoglycemia, hyperglycemia, increased glucose variability, and insufficient or excessive testing for the upcoming period of time, based on blood glucose readings collected by a self-monitoring blood glucose device. The method, system, and computer program product pertain directly to the enhancement of existing home blood glucose monitoring devices, by introducing an intelligent data interpretation component capable of predicting and alerting the user to periods of increased risk for hyperglycemia, hypoglycemia, increased glucose variability, and ineffective testing, and to the enhancement of emerging self-monitoring blood glucose devices by the same features. With these predictions the diabetic can take steps to prevent the adverse consequences associated with hyperglycemia, hypoglycemia, and increased glucose variability.

Description

[0001] related application [0002] This patent application claims the title "Systems, Methods and Computer Program Code for Self-Monitoring of Hyperglycemia, Hypoglycemia, Increased Glucose Variability, and Ineffectiveness in Diabetics," filed December 21, 2006. Priority to U.S. Provisional Patent Application No. 60 / 876,402 of Computer Program Codes for Recognition of Patterns of Hyperglycemia and Hypoglycemia, Increased Glucose Variability, and Ineffective Self-Monitoring in Diabetes), the entire disclosure of which is incorporated herein by reference in its entirety. [0003] This patent application is related to the titled "Method, System, and Computer Program Product for Evaluation of Blood Glucose Variability in Diabetics Based on Self-Monitoring Data" filed on January 5, 2007 International Patent Application No. PCT / US2007 / 000370, Blood Glucose Variability in Diabetes from Self-Monitoring Data), the entire disclosure of which is fully incorporated herein by reference. t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B10/00G06F17/00G06Q50/00G06F19/00G16H10/60
CPCG06F19/345G06F19/3456G06F19/3487G16H10/60G16H15/00G16H20/10G16H50/20
Inventor B·P·科瓦切夫D·普赖斯E·奥托A·库尔森
Owner UNIV OF VIRGINIA ALUMNI PATENTS FOUND
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