Dexcom, Inc.

Fair Isaac Corporation

Liang Wang

Peter C Simpson

Eli Reihman

Arturo Garcia

Jason M Halac

Hari Hampapuram

Li Hsiang Sun

Scott Michael Zoldi

Sebastian Bohm

Naresh Chandra Bhavaraju

Matthew D Wightlin

Stephen J Vanslyke

Daiting Rong

Anna Leigh Davis

Andrew Attila Pal

Aditya Sagar Mandapaka

Lauren Hruby Jepson

Disha B Sheth

Ted Tang Lee

Jeff Jackson

Rui Ma

Jonathan Hughes

Becky L Clark

Jason Mitchell

Chris W Dring

Zebediah L McDaniel

Vincent Peter Crabtree

David I-Chun Lee

Alexander Leroy Teeter

John Michael Gray

Douglas William Burnette

Neal Davis Johnston

David A Keller

Neel Narayan Shah

David DeRenzy

Anna Claire Harley-Trochimczyk

Andrew Michael Reinhardt

Minglian Shi

Shanger Wang

Carl Erich Hoffmeier

Jiong Zou

Michael Levozier Moore

Kamuran Turksoy

Steven Wu

Wenjie Lan

Riley Christopher Yaylian

Systems and methods for processing sensor data and end of life detection are provided. In some embodiments, a method for determining the end of life of a continuous analyte sensor includes receiving a sensor signal from an analyte sensor. A plurality of risk factors associated with end of life symptoms of analyte sensors is evaluated. The risk factors include a downward drift in sensor sensitivity over time, an amount of non-symmetrical, nonstationary noise and a duration of noise. An end of life status of the analyte sensor is determined based at least in part on the evaluating. An output related to the end of life status of the analyte sensor is provided.

End of life detection for analyte sensors experiencing progressive sensor decline

Systems and methods are provided that address the need to frequently calibrate analyte sensors, according to implementation. In more detail, systems and methods provide a preconnected analyte sensor system that physically combines an analyte sensor to measurement electronics during the manufacturing phase of the sensor and in some cases in subsequent life phases of the sensor, so as to allow an improved recognition of sensor environment over time to improve subsequent calibration of the sensor.

Automatic analyte sensor calibration and error detection

An analyte sensor system may include a first communication circuit configured to transmit a wireless signal in a first communication mode and a second communication mode, and a processor, wherein the processor determines whether a first condition is satisfied, the first condition relating to the sensor signal or to communication by the first communication circuit, and shifts the system to a second communication mode responsive to the first condition being satisfied.

Systems and methods for power management in analyte sensor system

A system and method for managing mass compromise of financial transaction devices is disclosed. A method includes maintaining a summary of a transaction history for a financial transaction device, and forming a device history profile based on the transaction history, the device history profile including predictive variables indicative of fraud associated with the financial transaction device. A method further includes generating a fraud score based on the predictive variables, the fraud score representing a likelihood that the financial transaction device is compromised will be used fraudulently.

Mass compromise/point of compromise analytic detection and compromised card portfolio management system

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La Jolla, CA, United States of America

Liang Wang