SYSTEMS AND METHODS FOR DETECTING GLUCOSE LEVEL DATA PATTERNS
First Claim
1. An analyte monitoring system configured to measure an analyte concentration of a host, the system comprising:
- a sensor configured to generate sensor data indicative of a concentration of an analyte in a host over time;
a memory configured to store the sensor data;
a processor configured to receive the sensor data from at least one of the memory and detecting a pattern in the data, the detecting comprising identifying a plurality of events based on the sensor data, associating at least some of the plurality of events based on a criterion to from a set of events, and qualifying the set of events as the detected pattern; and
an output module configured to output information representative of the detected pattern.
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Abstract
Systems and methods for detecting and reporting patterns in analyte concentration data are provided. According to some implementations, an implantable device for continuous measurement of an analyte concentration is disclosed. The implantable device includes a sensor configured to generate a signal indicative of a concentration of an analyte in a host, a memory configured to store data corresponding at least one of the generated signal and user information, a processor configured to receive data from at least one of the memory and the sensor, wherein the processor is configured to generate pattern data based on the received information, and an output module configured to output the generated pattern data. The pattern data can be based on detecting frequency and severity of analyte data in clinically risky ranges.
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Citations
30 Claims
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1. An analyte monitoring system configured to measure an analyte concentration of a host, the system comprising:
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a sensor configured to generate sensor data indicative of a concentration of an analyte in a host over time; a memory configured to store the sensor data; a processor configured to receive the sensor data from at least one of the memory and detecting a pattern in the data, the detecting comprising identifying a plurality of events based on the sensor data, associating at least some of the plurality of events based on a criterion to from a set of events, and qualifying the set of events as the detected pattern; and an output module configured to output information representative of the detected pattern. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A method for identifying patterns based on monitored analyte concentration sensor data, the method comprising:
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receiving data from at least one input, the data including measurements of an analyte concentration and time of day information associated with the measurement; analyzing the received data to identify a plurality of clinically significant events; determining patterns in the analyzed data, the determining comprising grouping the events based on time of day information into a plurality of event sets; and displaying information based on one or more of the determined patterns. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30)
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Specification