Method and device for continuous monitoring of the concentration of an analyte
First Claim
1. A method for continuous monitoring concentration of an analyte by determining the analyte'"'"'s change over time in the living body of a human or animal, the method comprising:
- measuring at sequential points in time, measurement values of a measurement variable correlating with a desired concentration of the analyte;
measuring the measurement variable as a measurement signal (zt);
determining the change over time of the concentration of the analyte from the measurement signal as a useful signal (yt) by means of a calibration;
providing a filter algorithm in the time domain for determination of the useful signal (yt) from the measurement signal (zi), wherein the filter algorithm reduces errors of the useful signal;
resulting from noise contained in the measurement signal, wherein the filter algorithm includes an operation in which the influence of an actual measurement value on the useful signal is weighted by means of a weighting factor (V);
determining a signal variation parameter (σ
t) on the basis of signal variations detected in close chronological relation to the measurement of the actual measurement value; and
adapting dynamically the weighting factor as a function of the signal variation parameter determined for the point in time of the actual measurement.
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Abstract
The present invention generally relates to a method for continuous monitoring of the concentration of an analyte by determining its change over time in the living body of a human or animal. A measurement variable value correlating with the desired concentration of the analyte are measured as the measurement signal (zt) and the change over time of the concentration is determined from the measurement signal as the useful signal (yt) using a calibration. A filter algorithm is used to reduce errors of the useful signal, which result from noise contained in the measurement signal. The filter algorithm includes an operation in which the influence of an actual measurement value on the useful signal is weighted using a weighting factor (V).
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Citations
10 Claims
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1. A method for continuous monitoring concentration of an analyte by determining the analyte'"'"'s change over time in the living body of a human or animal, the method comprising:
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measuring at sequential points in time, measurement values of a measurement variable correlating with a desired concentration of the analyte;
measuring the measurement variable as a measurement signal (zt);
determining the change over time of the concentration of the analyte from the measurement signal as a useful signal (yt) by means of a calibration;
providing a filter algorithm in the time domain for determination of the useful signal (yt) from the measurement signal (zi), wherein the filter algorithm reduces errors of the useful signal;
resulting from noise contained in the measurement signal, wherein the filter algorithm includes an operation in which the influence of an actual measurement value on the useful signal is weighted by means of a weighting factor (V);
determining a signal variation parameter (σ
t) on the basis of signal variations detected in close chronological relation to the measurement of the actual measurement value; and
adapting dynamically the weighting factor as a function of the signal variation parameter determined for the point in time of the actual measurement. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A device for continuous monitoring of a concentration of an analyte by determining the analyte'"'"'s change over time in the living body of a human or animal, the device comprising:
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a measurement unit, by which measurement values of a measurement variable correlating with the desired concentration are measured as the measurement signal (zt) at sequential points in time;
an analysis unit, by which the change over time of the concentration is determined by means of a calibration as a useful signal (yt) from the measurement signal, and a filter algorithm in the time domain for determination of the useful signal (yt) from the measurement signal (zt) to reduce errors of the useful signal, which result from noise contained in the measurement signal;
wherein the filter algorithm includes operations, in which the influence of an actual measurement value on the useful signal is weighted using a weighting factor (V), such that a signal variation parameter (σ
t) is determined on the basis of signal variations detected in close chronological relationship with the measurement of the actual measurement value, wherein the weighting factor is dynamically adapted as a function of the signal variation parameter determined for the point in time of the actual measurement
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Specification