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公开(公告)号：EP3735903A1
公开(公告)日：2020-11-11
申请号：EP19172715.5
申请日：2019-05-06
发明人： Zou, Peng , Sliozberg, Kirill , Steck, Alexander , Mischler, Reinhold , Hochmuth, Gernot , Hoertz, Christian
摘要： The present invention relates to a process for forming a membrane on an analyte sensor. The present invention further relates to an analyte sensor obtainable by this process. Furthermore, the present invention relates to a process for forming a sensing layer on an electrode of an analyte sensor and to an analyte sensor comprising the sensing layer obtainable by the inventive process as well as the membrane obtainable by the inventive process. The analyte sensors obtainable by the inventive processes may mainly be used for conducting at least one analyte measurement of a bodily fluid of a user or a patient. The invention may both be applied in the field of home care as well as in the field of professional care, such as in hospitals. Other applications are generally feasible.
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公开(公告)号：EP3561816A1
公开(公告)日：2019-10-30
申请号：EP19173855.8
申请日：2010-11-13
发明人： HUSE, Lisa , POLONSKY, William , STEWART, Doshia , SULLIVAN, John
IPC分类号： G16H50/50
摘要： Methods for evaluating changes in glucose levels of a patient include obtaining from the patient a pre-event measurement and a post-event measurement around a repeating event, wherein precondition criteria of the patient are adhered to prior to obtaining both the pre-event measurement and the post-event measurement and wherein a glucose change of the patient between the pre-event measurement and the post-event measurement may be determined, and recording unique details for the repeating event, wherein the unique details comprise a variation that would affect glucose levels of the patient such that the unique details may be correlated with the glucose change for the repeating event.
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公开(公告)号：EP3614394A1
公开(公告)日：2020-02-26
申请号：EP19192445.5
申请日：2011-06-14
摘要： Embodiments of a testing method for optimizing a therapy to a diabetic patient comprise collecting at least one sampling set of biomarker data, computing a probability distribution function, a hazard function, a risk function, and a risk value for the sampling set of biomarker data wherein, wherein the probability distribution function is calculated to approximate the probability distribution of the biomarker data, the hazard function is a function which yields higher hazard values for biomarker readings in the sampling set indicative of higher risk of complications, the risk function is the product of the probability distribution function and the hazard function, and the risk value is calculated by the integral of the risk function, minimizing the risk value by adjusting the diabetic patient's therapy, and exiting the testing method when the risk value for at least one sampling set is minimized to an optimal risk level.
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