Medtronic Minimed, Inc.

Kris R Holtzclaw

Rajiv Shah

Sheldon B Moberg

Mark C Estes

Ian B Hanson

Lane Desborough

Louis J Lintereur

Salman Monirabbasi

Cesar C Palerm

John Joseph Mastrototaro

Brian T Kannard

John J Shin

Randal C Schulhauser

Cary D Talbot

Himanshu P Patel

Sami S Kanderian, Jr

Peter Hong

Nandita D Dangui

Bradley Chi Liang

Mohsen Askarinya

Larry Earl Tyler

Charles R Gordon

Kenneth W Cooper

Peter I Hong

Ulrich H Rankers

Sami Kanderian

Joseph M Arsanious

Hans K Wenstad

Kaezad J Mehta

Gary Cohen

Kenny J Long

Frank Saidara

Uzair Siddiqui

Fan Meng

Keith E DeBrunner

Andrew Michael Bryan

Linda P Fredrickson

Bruce R Wenholz

Larry E Tyler

Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device capable of delivering fluid to a user involves determining a current value for a physiological condition of the user influenced by the fluid violates a first threshold value, determining a predicted value for the physiological condition of the user violates a second threshold value, and automatically altering operation of the infusion device to modify delivery of the fluid to the user after determining the predicted value violates the second threshold value when the current value violates the first threshold value.

Predictive infusion device operations and related methods and systems

Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device capable of delivering fluid to a user involves obtaining a sequence of measurements indicative of a condition of the user that is influenced by the fluid and modifying one or more unusable measurements in the sequence using one or more other usable measurements in the sequence to obtain a modified sequence of measurements. The method continues by determining a predicted value for the condition of the user at a time in the future based at least in part on the modified sequence of measurements and operating the infusion device in a manner that is influenced by the predicted value.

Data modification for predictive operations and devices incorporating same

A monitor system is disclosed. The monitor system includes a sensor with a sensor port. The monitor system further includes a recorder with a recorder port within a recording housing. The recorder port interfaces with the sensor port to receive signals from the sensor port. A recorder clock is defined within the recorder housing, with a recorder processor to store signals from the sensor. The recorder includes a data port to interface with a dock receiver. The monitor system includes a dock remotely located from the sensor and the recorder. The dock receiver couples the recorder to the dock. The monitor system further includes a data processor to analyze the sensor signals from the recorder. The data processor includes memory and a clock. Further included with the data processor are program instructions to assign the time and date of the sensor signals.

Sensor and monitor system

The invention disclosed herein provides methods and materials for observing the state of a sensor, for example those used by diabetic patients to monitor blood glucose levels. Typically a voltage such as a voltage pulse is applied to the sensor in order to solicit a current response from which for example, factors such as impedance values can be derived. Such values can then be used as indicators of a sensor's state, for example the state of sensor hydration, sensor noise, sensor offset, sensor drift or the like.

Methods and systems for observing sensor parameters

A method of calibrating glucose monitor data includes collecting the glucose monitor data over a period of time at predetermined intervals. It also includes obtaining at least two reference glucose values from a reference source that temporally correspond with the glucose monitor data obtained at the predetermined intervals. Also included is calculating the calibration characteristics using the reference glucose values and the corresponding glucose monitor data to regress the obtained glucose monitor data. And calibrating the obtained glucose monitor data using the calibration characteristics is included. In preferred embodiments, the reference source is a blood glucose meter, and the at least two reference glucose values are obtained from blood tests. In additional embodiments, the calculation of the calibration characteristics is obtained using linear regression and in particular embodiments, least squares linear regression. Alternatively, the calculation of the calibration characteristics is obtained using non-linear regression.

Real time self-adjusting calibration algorithm

Growing community of inventors

Santa Clarita, CA, United States of America

Kris R Holtzclaw