Fault discrimination and responsive processing based on data and context

US10238324B2 · kind B2 · utility

Assignee

• Dexcom, Inc. · US

Inventors

• Stephen J. Vanslyke · Carlsbad, US
• Naresh C. Bhavaraju · Mission, US
• Sebastian Bohm · San Diego, US
• Leif N. Bowman · San Diego, US
• Michael J. Estes · San Diego, US
• Arturo Garcia · Chula Vista, US
• Apurv Ullas Kamath · San Diego, US
• Andrew Attila Pal · San Diego, US
• Thomas A. Peyser · Menlo Park, US
• Anna Leigh Rack-Gomer · San Diego, US
• Daiting Rong · San Diego, US
• Disha B. Sheth · Oceanside, US
• Peter C. Simpson · Irvine, US
• Dmytro Sokolovsky · San Diego, US

Key dates

• Filing date: May 20, 2015
• Grant date: Mar 26, 2019
• Expiry date: Oct 5, 2036

Classification

• Technology area (CPC A): Human Necessities
• CPC primary: A61M2230/201
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

Systems and methods disclosed here provide ways to discriminate fault types encountered in analyte sensors and systems and further provide ways to process such discriminated faults responsively based on sensor data, clinical context information, and other data about the patient or patient's environment. The systems and methods thus employ clinical context in detecting and/or responding to errors or faults associated with an analyte sensor system, and discriminating the type of fault, and its root cause, particularly as fault dynamics can appear similar to the dynamics of physiological systems, emphasizing the importance of discriminating the fault and providing appropriate responsive processing. Thus, the disclosed systems and methods consider the context of the patient's health condition or state in determining how to respond to the fault.