%0 Journal Article
%T Development of A Model-based Noninvasive Glucose Monitoring Device For Non-insulin Dependent People - Development of A Model-based Noninvasive Glucose Monitoring Device For Non-insulin Dependent People - Open Access Pub
%A David Andre
%A Derrick K. Rollins
%A Greg Welk
%A Kaylee Kotz
%A Lucas Beverlin
%A Nisarg Vyas
%A Warren D. Franke
%A Yong Mei
%J OAP | Home | Journal of Bioinformatics And Diabetes | Open Access Pub
%D 2016
%X Continuous-time glucose monitoring (CGM) effectively improves glucose control, as oppose to infrequent glucose measurements (i.e. using Lancet Meters), by providing frequent blood glucose concentration (BGC) to better associate this variation with changes in behavior. Currently, the most widely used CGM devices rely on a sensor that is inserted invasively under the skin. Because of the invasive nature and also the replacement cost of sensors, the primary users of current CGM devices are insulin dependent people (type 1 and some type 2 diabetics). Most non-insulin dependent diabetics use only lancet glucose measurements. The ultimate goal of this research is the development of CGM technology that overcomes these limitations (i.e. invasive sensors and their cost) in an effort to increase CGM applications among non-insulin dependent people. To meet this objective, this preliminary work has developed a methodology to mathematically infer BGC from measurements of non-invasive input variables which can be thought of as a ¡°virtual¡± or ¡°soft¡± sensor approach. In this work virtual sensors are developed and evaluated on 20 subjects using four BGC measurements per day and eight input variables representing meals, activity, stress, and clock time. Up to four weeks of data are collected for each subject. One evaluation consists of 3 days of training and up to 25 days of testing data. The second one consists of one week of training, one week of validation, and 2 weeks of testing data. The third one consists two weeks of training, one week of validation and one week of testing data. Model acceptability is determined on an individual basis based on the fitted correlation to CGM testing data. For 3 day, 1 week, and 2 weeks training studies, 35%, 55% and 65% of the subjects, respectively, met the Acceptability Criteria that we established based on the concept of usefulness. DOI10.14302/issn.2374-9431.jbd-13-283 Recent research suggests that real-time, frequent, glucose monitoring can improve blood glucose control over infrequent monitoring provided through the use of lancet glucose meters for both insulin dependent 1, 2, 3, 4, 5, 6, and non insulin dependent diabetics 7. Frequent glucose measurement capability is referred to as continuous-glucose monitoring (CGM); although not really continuous, current devices can deliver on-line glucose measurements as often as every one to five minutes8. Nonetheless, this is a substantial improvement over lancet monitoring that only produces a few values (e.g. four values) per day, at best. CGM therefore improves the user¡¯s ability to
%U https://www.openaccesspub.org/jbd/article/75