Systems and methods for processing sensor data

  • US 10,827,980 B2
  • Filed: 05/16/2012
  • Issued: 11/10/2020
  • Est. Priority Date: 12/17/2007
  • Status: Active Grant
First Claim
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1. A method for classifying a level of noise in a signal obtained from a continuous glucose sensor, the method comprising:

  • receiving a raw signal from a continuous glucose sensor during a sensor session, using electronic circuitry operably connected to the continuous glucose sensor, wherein the raw signal is indicative of the glucose level in a host;

    classifying a level of transient, non-glucose related noise in the raw signal into one of a plurality of groups during the sensor session based on one or more noise thresholds, wherein the classifying comprises deriving a noise signal from the raw signal by comparing the raw signal to a smooth or filtered signal, determining a level and/or indicator of noise in the noise signal and comparing the level and/or indicator of noise to one or more noise classification thresholds and/or criteria that are adaptively determined during the sensor session; and

    controlling administration of a medicament using a medicament dispensing device responsive to the classifying the level of the transient, non-glucose related noise in the raw signal.

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