Dropout detection in continuous analyte monitoring data during data excursions

  • US 10,656,139 B2
  • Filed: 07/08/2019
  • Issued: 05/19/2020
  • 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 sensor configured for positioning in fluid contact with a fluid under a skin layer, the sensor data corresponding to a monitored analyte level of the fluid, the sensor data including multiple instances of a periodic event;

    segmenting the sensor data into a plurality of time segments, the plurality of time segments including a first segment comprising a first instance of the periodic event, and a second segment comprising a second instance of the periodic event;

    applying a time dilation operation to the first segment to obtain a time dilated first segment;

    correlating the sensor data of the time dilated first segment to the sensor data of the second segment, so that sensor data of the time dilated first segment over a first period of time correlates to sensor data of the second segment over a second period of time;

    determining that the sensor data of the time dilated first segment over the first period of time differs by more than a dynamically varying threshold from the sensor data of the second segment over the second period of time; and

    displaying an indication that the first segment includes a dropout.

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