Dexcom, Inc.

Sequenom, Inc.

Ying Li

Apurv Ullas Kamath

Aarthi Mahalingam

Richard Chien Yang

Peter C Simpson

Mark C Brister

Michael Robert Mensinger

James H Brauker

John Michael Dobbles

Mohammad Ali Shariati

Sean T Saint

Jack Pryor

Bernhard Zimmermann

Jacob S Leach

Daiting Rong

J Michael Dobbles

Robert James Boock

Matthew D Wightlin

John Nolting

Vance Swanson

Curtis Hanson

Sinuhe Hahn

Wolfgang Holzgreve

Deborah M Ruppert

Michael J Dobbles

Aarthi Mahalingham

Mohammed Ali Shariati

Jake Leach

Systems and methods for processing sensor data are provided. In some embodiments, systems and methods are provided for calibration of a continuous analyte sensor. In some embodiments, systems and methods are provided for classification of a level of noise on a sensor signal. In some embodiments, systems and methods are provided for determining a rate of change for analyte concentration based on a continuous sensor signal. In some embodiments, systems and methods for alerting or alarming a patient based on prediction of glucose concentration are provided.

Systems and methods for processing sensor data

Systems and methods of use for continuous analyte measurement of a host's vascular system are provided. In some embodiments, a continuous glucose measurement system includes a vascular access device, a sensor and sensor electronics, the system being configured for insertion into communication with a host's circulatory system.

Analyte sensor

The present invention relates generally to systems and methods for measuring an analyte in a host. More particularly, the present invention relates to systems and methods for processing sensor data, including calculating a rate of change of sensor data and/or determining an acceptability of sensor or reference data.

Systems and methods for processing analyte sensor data

Systems and methods for detecting noise episodes and processing analyte sensor data responsive thereto. In some embodiments, processing analyte sensor data includes filtering the sensor data to reduce or eliminate the effects of the noise episode on the signal.

Systems and methods for replacing signal artifacts in a glucose sensor data stream

Systems and methods for processing sensor data and self-calibration are provided. In some embodiments, systems and methods are provided which are capable of calibrating a continuous analyte sensor based on an initial sensitivity, and then continuously performing self-calibration without using, or with reduced use of, reference measurements. In certain embodiments, a sensitivity of the analyte sensor is determined by applying an estimative algorithm that is a function of certain parameters. Also described herein are systems and methods for determining a property of an analyte sensor using a stimulus signal. The sensor property can be used to compensate sensor data for sensitivity drift, or determine another property associated with the sensor, such as temperature, sensor membrane damage, moisture ingress in sensor electronics, and scaling factors.

Advanced analyte sensor calibration and error detection

Blood plasma of pregnant women contains fetal and (generally &#x3e;90%) maternal circulatory extracellular DNA. Most of said fetal DNA contains &#x2266;500 base pairs, said maternal DNA having a greater size. Separation of circulatory extracellular DNA of &#x3c;500 base pairs results in separation of fetal from maternal DNA. A fraction of a blood plasma or serum sample of a pregnant woman containing, due to size separation (e.g. by chromatography, density gradient centrifugation or nanotechnological methods), extracellular DNA substantially comprising &#x2266;500 base pairs is useful for non-invasive detection of fetal genetic traits (including the fetal RhD gene in pregnancies at risk for HDN; fetal Y chromosome-specific sequences in pregnancies at risk for X chromosome-linked disorders; chromosomal aberrations; hereditary Mendelian genetic disorders and corresponding genetic markers; and traits decisive for paternity determination) by e.g. PCR, ligand chain reaction or probe hybridization techniques, or nucleic acid arrays.

Non-invasive detection of fetal genetic traits

Systems and methods for minimizing or eliminating transient non-glucose related signal noise due to non-glucose rate limiting phenomenon such as interfering species, ischemia, pH changes, temperatures changes, known or unknown sources of mechanical, electrical and/or biochemical noise, and the like. The system monitors a data stream from a glucose sensor and detects signal artifacts that have higher amplitude than electronic or diffusion-related system noise. The system processes some or the entire data stream continually or intermittently based at least in part on whether the signal artifact event has occurred.

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San Diego, CA, United States of America

Ying Li