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Example 8. Blood Glucose Prediction trace without CGM, utilizing data from a blood glucose meter, insulin and carb intake. Diabetes Management Software refers to software tools that run on personal computers and personal digital assistants to help persons with Type 1 and Type 2 diabetes manage the data associated with:
AIDA has been described in detail in the medical / scientific / computing / diabetes literature. [9] It incorporates a compartmental model that describes glucose-insulin interaction in people completely lacking endogenous insulin secretion — i.e. insulin-dependent patients with type 1 diabetes mellitus.
The user can set the high and low glucose alarms. The third CGMS available is the FreeStyle Navigator from Abbott Laboratories. There is currently an effort to develop an integrated treatment system with a glucose meter, insulin pump, and wristop controller, as well as an effort to integrate the glucose meter and a cell phone. Testing strips ...
Four generations of blood glucose meter, c. 1991–2005. Sample sizes vary from 30 to 0.3 μl. Test times vary from 5 seconds to 2 minutes (modern meters typically require less than 15 seconds). A blood glucose meter is an electronic device for measuring the blood glucose level. A relatively small drop of blood is placed on a disposable test ...
Nightscout is a free and open-source project, and associated social movement, that enables accessing and working with continuous glucose monitor (CGM) data. [1] [2] Nightscout software aims to give users access to their real time blood sugar data by putting this data in the cloud.
The Ames Reflectance Meter was the first blood glucose meter. It allowed patients with diabetes to self-monitor their blood glucose levels. The Ames Reflectance Meter was developed in 1970 by Anton H. Clemens. It had a needle that indicated the intensity of blue light reflected from a paper strip, called Dextrostix. The meter gave a ...
The YSI 2300 STAT PLUS Glucose and Lactate Analyzer (YSI 2300) was a Class II in-vitro diagnostics (IVD) automated analyser intended that measured glucose in whole blood, plasma or serum; and of L-lactate in whole blood, plasma, or cerebrospinal fluid (CSF).
In general, all algorithms do the same basic functionality of taking in CGM data and based on predicted glucose level's and the user's personal settings (for basal rates, insulin sensitivity, and carbohydrate ratio, for example) then recommends insulin dosing to help bring or maintain glucose levels in target range.