Dropout detection in continuous analyte monitoring data during data excursions
US10132793B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 20, 2013 |
| Grant date | Nov 20, 2018 |
| Priority date | — |
| Expiry date | Feb 15, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2218/16
- WIPO fieldMeasurement
- WIPO sectorInstruments
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.