Dropout Detection in Continuous Analyte Monitoring Data During Data Excursions
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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.
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Citations
42 Claims
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1-22. -22. (canceled)
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23. A method of identifying a signal dropout in analyte sensor data, comprising:
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segmenting sensor data into a plurality of time series; 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 the portion that is more than the predefined threshold lower than the corresponding portion of the second time series. - View Dependent Claims (24, 25, 26, 27, 28, 29, 30, 31, 32)
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33. An apparatus for identifying a signal dropout in sensor data, comprising:
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a processor; and a memory coupled to the processor, the memory storing processor executable instructions to; segment sensor data into a plurality of time series; select a first time series to analyze for dropouts from the plurality of time series; compare the selected first time series to a second time series among the plurality of time series; determine 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 display an indication that the selected first time series includes a dropout if the selected first time series includes the portion that is more than the predefined threshold lower than the corresponding portion of the second time series. - View Dependent Claims (34, 35, 36, 37, 38, 39, 40, 41, 42)
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Specification