Dropout detection in continuous analyte monitoring data during data excursions

  • US 10,345,291 B2
  • Filed: 11/16/2018
  • Issued: 07/09/2019
  • Est. Priority Date: 08/30/2012
  • Status: Active Grant
First Claim
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1. A method, comprising:

  • receiving sensor data from an analyte monitoring device;

    segmenting the sensor data by time to obtain segmented data;

    identifying a periodic event from the segmented data, the periodic event independently occurring at a first window of time and a second window of time;

    defining a set of time dilation parameters;

    applying the time dilation parameters to the second window of time to obtain a baseline-normalized ratio for a portion of the first window of time;

    determining that the baseline-normalized ratio for the portion of the first window of time is below a predetermined threshold; and

    displaying an indication that the portion of the first window of time includes a dropout.

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