Abstract: The invention relates to a method for investigating the glucose metabolism of a human being for disease-relevant and/or disease-related particularities. The glucose concentration g(t1) to g(tn) of a body fluid is measured at time points t1 to tn that are distributed over a period of at least six hours. The data points are then determined in phase space coordinates from the glucose concentration measuring values g(t1) to g(tn). The data points are then processed to highlight disease-relevant and/or disease-related particularities of the glucose metabolism of the investigated human being. The processing of the data points can be implemented by plotting them in a phase space representation or by determining from the data points a disturbance parameter that is correlated to the severity of a disturbance of glucose metabolism.

Abstract: The disclosure generally relates to continuous monitoring 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).

Abstract: The disclosure generally relates to continuous monitoring 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 thee 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).

Abstract: The invention relates to a method for investigating the glucose metabolism of a human being for disease-relevant and/or disease-related particularities. The the glucose concentration g(t1) to g(tn) of a body fluid is measured at time points t1 to tn that are distributed over a period of at least six hours. The data points are then determined in phase space coordinates from the glucose concentration measuring values g(t1) to g(tn). The data points are then processed to highlight disease-relevant and/or disease-related particularities of the glucose metabolism of the investigated human being. The processing of the data points can be implemented by plotting them in a phase space representation or by determining from the data points a disturbance parameter that is correlated to the severity of a disturbance of glucose metabolism.

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).

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).

Abstract: Analytical system for monitoring patient blood concentration of a substance to be analyzed, comprising analysis-elements (12) containing reagents and an evaluation instrument comprising a measurement device to measure a change resulting from a reaction of the analyte with the reagents in order to determine, from the measurement values so obtained, analytical data representing element analysis data C.sub.A.In order to allow continuous monitoring of the analyte with good accuracy and a reduced number of invasive sample generation steps it is proposed that the analytical system further comprises (i) a sensor unit (2) portable on the patient body, said sensor unit (2) including a sensor (7) borne on the patient body for the direct and reagent-free measurement of a parameter correlating with the concentration of the analyzed substance and a transmitter for the wireless transmission of data signals; and (ii) a sensor-analysis means to ascertain sensor-analysis data C.sub.