Cygnus, Inc.

Animas Corporation

Animas Technologies, LLC

Christopher Uhegbu

Pravin L Soni

Prema Vijayakumar

Michael Reidy

Kim K Burson

Michelle Van Wyhe

Jeffrey Pudlo

Michael J Tierney

Russell O Potts

Norman A Parris

The present invention relates to a predictive-kinetic method for use with data processing of a sensor-generated signal, as well as, microprocessors and monitoring systems employing such a predictive-kinetic method. Data from a transient region of a signal is used with suitable models and curve-fitting methods to predict the signal that would be measured for the system at the completion of the reaction. The values resulting from data processing of sensor response using the methods of the present invention are less sensitive to measurement variables.

Methods for measuring analyte in a subject and/or compensating for incomplete reaction involving detection of the analyte

This invention relates to methods for reducing the presence of a compound in an ionically conductive material, e.g., for use in iontophoretic devices, wherein the presence of the compound interferes with detecting a selected analyte. Removal of the compound can typically take place either during or after the manufacture of the ionically conductive material or an assembly comprising this material. Also disclosed are methods for generating selectively permeable barriers on the reactive faces of electrodes. Further, this invention relates to hydrogels comprising one or more biocides, as well as assemblies containing such hydrogels.

Methods of manufacturing glucose measuring assemblies with hydrogels

Glucose measuring assembly with a hydrogel

Methods for improving performance and reliability of biosensors

Methods and devices for removing interfering species

Growing community of inventors

San Leandro, CA, United States of America

Christopher Uhegbu