Bayer Healthcare LLC

Ascensia Diabetes Care Holdings Ag

Bern Everett Harrison

Huan-Ping Wu

Igor Y Gofman

Xin Wang

Paul M Ripley

Narasinha C Parasnis

Serban F Peteu

Tony Nguyen

Steve Sun

Jeffrey D Blais

Eric Anthony Maurer

Hoi-Cheong Steve Sun

Mu Wu

Jeffery S Reynolds

Jun Chen

Harris Lieber

Gregory Stefkovic

Mary Ellen Warchal-Windham

Nicole D Ellis

Mark D Cerutti

John Farrell

A method of determining glucose values during continuous glucose monitoring (CGM) measurements includes providing a CGM device including a sensor, a memory, and a processor; applying a constant voltage potential to the sensor; measuring a primary current signal resulting from the constant voltage potential and storing the measured primary current signal in the memory; applying a probing potential modulation sequence to the sensor; measuring probing potential modulation current signals resulting from the probing potential modulation sequence and storing measured probing potential modulation current signals in the memory; determining an initial glucose concentration based on a conversion function and a ratio of measured probing potential modulation current signals; determining a connection function value based on the primary current signal and a plurality of the probing potential modulation current signals; and determining a final glucose concentration based on the initial glucose concentration and the connection function value. Other aspects are disclosed.

Extracting parameters for analyte concentration determination

A biosensor system determines analyte concentration from an output signal generated from a light-identifiable species or a redox reaction of the analyte. The biosensor system compensates at least 50% of the total error in the output signal with a primary function and compensates a portion of the remaining error with a residual function. The amount of error compensation provided by the primary and residual functions may be adjusted with a weighing coefficient. The compensation method including a primary function and a residual function may be used to determine analyte concentrations having improved accuracy from output signals including components attributable to error.

Residual compensation including underfill error

Devices and methods for determining one or more analyte concentrations in a sample, determining a sample type, and/or accounting for interference species in a sample are disclosed that include intertwining a first input signal, via a first electrode having a reagent, with a second input signal, via a second electrode lacking a reagent, by applying to the sample the first input signal having at least two excitations and a relaxation, and applying to the sample the second input signal having at least two excitations and a relaxation, such that the excitations of the first input signal are nonconcurrent with the excitations of the second input signal. The method further includes measuring a first output signal responsive to the first input signal and a second output signal responsive to the second input signal.

Intertwined electrical input signals

Systems and methods for detecting dried test strips are provided, where a dried test strip may be one that has been re-inoculated with a biological sample after having already been previously inoculated with another sample at an earlier time (e.g., hours or days before). In various aspects, a biosensor such as an amperometric glucose biosensor ('meter') may apply one or more input electrical signals to an inoculated test strip having at least a pair of electrodes in contact with the biological sample. The meter may measure output current value(s) resulting in response to the input electrical signals applied to the test strip. The meter may determine whether the test strip is a dried test strip by comparing a ratio of the measured output current value(s) with a boundary ratio value.

System and method for detecting used and dried sensors

A system for a meter configured to determine an analyte concentration of a fluid sample includes a housing and a temperature sensor disposed within the housing. The system also includes a processor configured to receive temperature data from the temperature sensor upon the meter entering one of a charge state and a discharge state. The processor is further configured to predict a temperature value that approximates the ambient temperature outside of the housing. The predicted temperature value is based on historical temperature data received from the temperature sensor such that the predicted temperature value remains constant if a recently received temperature value remains within predetermined upper and lower temperature thresholds and the recently received temperature value exceeds the at least one predicted temperature value.

Systems and methods for predicting ambient temperature in a fluid analyte meter

An assembly determines an analyte concentration in a sample of body fluid. The assembly includes a test sensor having a fluid-receiving area for receiving a sample of body fluid, where the fluid-receiving area contains a reagent that produces a measurable reaction with an analyte in the sample. The assembly also includes a meter having a port or opening configured to receive the test sensor; a measurement system configured to determine a measurement of the reaction between the reagent and the analyte; and a temperature-measuring system configured to determine a measurement of the test-sensor temperature when the test sensor is received into the opening. The meter determines a concentration of the analyte in the sample according to the measurement of the reaction and the measurement of the test-sensor temperature.

Method and assembly for determining the temperature of a test sensor

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Moscow, ID, United States of America

Bern Everett Harrison