Dropout detection in continuous analyte monitoring data during data excursions
First Claim
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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Abstract
Methods, devices, and systems are provided for identifying dropouts in analyte monitoring system sensor data including segmenting sensor data into a plurality of time series wherein each time series is associated with a different instance of a repeating event, selecting a first time series to analyze for dropouts from the plurality of time series; comparing the selected first time series to a second time series among the plurality of time series, determining whether the selected first time series includes a portion that is more than a predefined threshold lower than a corresponding portion of the second time series, and displaying, on a computer system display, an indication that the selected first time series includes a dropout if the selected first time series includes a portion that is more than the predefined threshold lower than the corresponding portion of the second time series.
1226 Citations
20 Claims
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1. A method, comprising:
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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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A system, comprising:
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an analyte sensor configured for positioning in fluid contact with a fluid under a skin layer to generate sensor data corresponding to a monitored analyte level of the fluid, the sensor data including multiple instances of a periodic event; and a receiving device comprising a display, one or more processors, and a memory storing instructions which, when executed by the one or more processors, cause the one or more processors to; receive sensor data from the analyte sensor; segment 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; apply a time dilation operation to the first segment to obtain a time dilated first segment; correlate 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; determine 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 display an indication that the first segment includes a dropout. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification