Systems and methods for replacing signal artifacts in a glucose sensor data stream
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.
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.
2. The system of claim 1 , wherein the signal estimation algorithm comprises a recursive filter.
3. The system of claim 2 , wherein the signal estimation algorithm comprises an infinite impulse response filter.
4. The system of claim 1 , wherein the signal estimation algorithm comprises a non-recursive filter.
5. The system of claim 4 , wherein the signal estimation algorithm comprises an finite impulse response filter.
6. The system of claim 1 , wherein the severity of signal artifacts comprise a numeric value.
7. The system of claim 6 , wherein signal estimation module is configured to calculate the one or more coefficients or parameters from the numeric value.
8. The system of claim 1 , further comprising an output module configured to transmit or display a representation of the estimated signal.
9. A method for processing a data stream obtained from a glucose sensor, the method comprising:
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.
10. The method of claim 9 , wherein the signal estimation algorithm comprises a recursive filter.
11. The method of claim 10 , wherein the signal estimation algorithm comprises an infinite impulse response filter.
12. The method of claim 10 , wherein the signal estimation algorithm comprises an finite impulse response filter.
13. The method of claim 9 , wherein the signal estimation algorithm comprises a non-recursive filter.
14. The method of claim 9 , wherein the severity of signal artifacts comprise a numeric value.
15. The method of claim 14 , wherein selectively applying comprises calculating the one or more coefficients or parameters from the numeric value.
16. The method of claim 9 , further comprising transmitting or displaying a representation of the estimated signal.