- Posted on: 12/03/2012
- Deadline : 17/01/2016
- Active users : 1002
Summary of the technology
The method uses local models (obtained from data of a representative target population) that adequately weighted from the current patient state compute an estimation of plasma glucose. These models describe the dynamic relationship between the sensor output and glucose, representative of glucose transport from plasma to the remote compartment of measurement.
Description of the technology
Researchers from the Instituto de Automática e Informática Industrial (Institute ai2) from the Universitat Politècnica de València (UPV) and from the Universitat de Girona have developed a new method for the continuous glucose monitoring in humans from glucose measurements in remote compartments, such as the subcutaneous tissue currently used in needle-type minimally invasive sensors. Pilot studies demonstrate that such technology allows an increment of accuracy in continuous glucose monitoring devices, facilitating their integration in an artificial pancreas for the automatic delivery of insulin in glucose control for patients with type 1 diabetes. We seek companies interested in agreements for patent licensing or technical cooperation.
Direct or indirect measurement of glucose concentration in compartments alternative to plasma imply the need of algorithms for the estimation of plasma glucose. These algorithms are known as calibration algorithms and are a main confounder of the accuracy of plasma glucose concentration estimations given by a device. Calibration algorithms of current monitoring systems are based on linear regression techniques; information about inter-compartment dynamics is ignored (besides a pure delay), which may result in high estimation errors. This lack accuracy is precisely the main reason for continuous glucose monitoring being considered as an adjunctive and not substitutive tool to capillary measurement. In this field, researchers have developed a method based on a calibration algorithm that allows improving the accuracy of those devices for continuous glucose monitoring, facilitating their integration in the development of an artificial pancreas for the automatic glucose control in patients with type 1 diabetes The developed method comprises an algorithm based on a set of local models (obtained from data of a representative target population) that adequately weighted from the current patient state compute an estimation of plasma glucose. These models describe the dynamic relationship between the sensor output and glucose, representative of glucose transport from plasma to the remote compartment of measurement
Main advantages of its use
- • Current procedures for continuous glucose monitoring produce a signal with high error since measurement is performed in a compartment other than plasma. This method allows getting a more accurate signal than current systems in the market. • The consideration of the glucose dynamics between compartments with the use of local models is a novelty in face of currently used methods glucose, and allows improving accuracy of continuous glucose monitors. The methodology allows detecting, during the local models identification phase, the different dynamics associated to different subpopulations or different metabolic states. This allows the application of models representing better the physiological processes based on the state and kind of patient. Furthermore the methodology allows the adaptation to changes in sensor sensitivity during its lifetime.
- Continuous glucose monitoring in diabetes and other disorders (such as critical care patients)
- Real-time monitoring
- Retrospective monitoring
- Monitoring for the control of insulin infusion in current therapies
- Monitoring in semi closed-loop and closed-loop systems in combination with and insulin pump and control algorithm (artificial pancreas)
- Monitoring with minimally invasive and non-invasive sensors. Continuous monitoring of other analytes measured in alternative compartments than the gold standard one and, thus, requiring an estimation algorithm (for instance, oxygen saturation in hemoglobin) .
About the vendor organization
The Universitat Politècnica de València (UPV) is a public educational institution that offers modern, flexible degrees that are designed to meet the demands of society, as well as official postgraduate programmes that are subject to demanding educational quality control systems.It has tree campus sites: Vera (inside the city of Valencia), Alcoy and Gandia, with a total of 36,187 students, 2,843 members of teaching and research staff. and 2,396 administrative and services staff.
One of the pillars of the social recognition enjoyed by the UPV has been and will continue to be its research capacity. Its departments, research centers and institutes undertake applied research proyects jointly with national and international bodies and companies.
Technology from Universitat Politècnica de València
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