Systems and methods for replacing signal artifacts in a glucose sensor data stream
First Claim
1. A system for processing a data stream obtained from a glucose sensor, the system comprising:
- a signal processing module configured to monitor a data stream from a continuous glucose sensor over a period of time;
a detection module configured to determine a severity of signal artifacts in the data stream based on an amplitude and a duration of the signal artifacts;
a signal estimation module configured to selectively apply one or more coefficients or parameters to a signal estimation algorithm based on the severity of the signal artifacts and to apply the signal estimation algorithm to the data stream to generate an estimated signal.
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Abstract
Systems and methods for minimizing or eliminating transient non-glucose related signal noise due to non-glucose rate limiting phenomenon such as ischemia, pH changes, temperatures changes, and the like. The system monitors a data stream from a glucose sensor and detects signal artifacts that have higher amplitude than electronic or diffusion-related system noise. The system replaces some or the entire data stream continually or intermittently including signal estimation methods that particularly address transient signal artifacts. The system is also capable of detecting the severity of the signal artifacts and selectively applying one or more signal estimation algorithm factors responsive to the severity of the signal artifacts, which includes selectively applying distinct sets of parameters to a signal estimation algorithm or selectively applying distinct signal estimation algorithms.
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Citations
16 Claims
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1. A system for processing a data stream obtained from a glucose sensor, the system comprising:
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a signal processing module configured to monitor a data stream from a continuous glucose sensor over a period of time; a detection module configured to determine a severity of signal artifacts in the data stream based on an amplitude and a duration of the signal artifacts; a signal estimation module configured to selectively apply one or more coefficients or parameters to a signal estimation algorithm based on the severity of the signal artifacts and to apply the signal estimation algorithm to the data stream to generate an estimated signal. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method for processing a data stream obtained from a glucose sensor, the method comprising:
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monitoring a data stream from a continuous glucose sensor over a period of time; determining, using processing electronics, a severity of signal artifacts in the data stream based on an amplitude and a duration of the signal artifacts; selectively applying one or more coefficients or parameters to a signal estimation algorithm based on the severity of the signal artifacts; and applying the signal estimation algorithm to the data stream to generate an estimated signal. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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Specification