Abstract: The application relates to a method for analyzing continuously monitored physiological measurement values of a user, the method being performed in a data processing system and comprising: providing, by a data interface, a set of present physiological measurement values, determining whether a common pattern of values is contained in both the set of present physiological measurement values and a set of historical physiological measurement values, if the common pattern of values is found, requesting the user to provide contextualization for at least the present physiological measurement values of the common pattern of values, receiving contextualization and storing contextualized data. Furthermore, the application relates to a device for analyzing continuously monitored physiological measurement values of a user.

Abstract: A method for analysing physiological measurement values of a user is proposed. The method comprises at least one data acquisition step, wherein, during the data acquisition step, physiological measurement values of the user are acquired at different measurement times and stored in a measurement data record; at least one pattern selection step, wherein, during the pattern selection step, measurement values acquired during one comparison time interval are selected as at least one comparison pattern; and at least one pattern recognition step, wherein, during the pattern recognition step, patterns corresponding to the comparison pattern are sought after in the measurement data record.

Abstract: A structured testing method for diagnostic or therapy support of a patient with a chronic disease and devices thereof are disclosed which implement a structured collection procedure based on a medical use case and/or question which provides at least one or more parameters defining entry criterion, a schedule of events, adherence criterion, and exit criterion. The entry criterion establish conditions needed to be met prior to obtaining biomarker data from the patient. Each event can include one or more of a performance time, patient guidance to perform the event, a request for information from the patient a request for patient action, and a request for collection of biomarker data from the patient. The adherence criterion can be used to assess whether an event performed is acceptable to addressing the medical use case and/or question, and the exit criterion establishes conditions needed to be met prior to exiting the collection procedure.

Abstract: A structured testing method for diagnostic or therapy support of a patient with a chronic disease and devices thereof are disclosed which implement a structured collection procedure based on a medical use case and/or question which provides at least one or more parameters defining entry criterion, a schedule of events, adherence criterion, and exit criterion. The entry criterion establish conditions needed to be met prior to obtaining biomarker data from the patient. Each event can include one or more of a performance time, patient guidance to perform the event, a request for information from the patient a request for patient action, and a request for collection of biomarker data from the patient. The adherence criterion can be used to assess whether an event performed is acceptable to addressing the medical use case and/or question, and the exit criterion establishes conditions needed to be met prior to exiting the collection procedure.

Abstract: A method for characteristic monitoring in conjunction with a mode of continuously measured blood glucose values, in a monitor apparatus provided with a processor, a memory, a data interface, an input device, and a signaling device, the method comprising: providing a first set of event specific characteristics assigned to a first event, the first set of event specific characteristics being different from a second set of event specific characteristics assigned to a second event which is different from the first event, receiving blood glucose value data performing a safety check by comparing the first set of event specific characteristics to present characteristics derived from the blood glucose value data and/or the characteristic values, generating a warning signal or generating a safety signal, and outputting an output signal. A monitor apparatus is also disclosed.

Abstract: A structured testing method for diagnostic or therapy support of a patient with a chronic disease and devices thereof are disclosed which implement a structured collection procedure based on a medical use case and/or question which provides at least one or more parameters defining entry criterion, a schedule of events, adherence criterion, and exit criterion. The entry criterion establish conditions needed to be met prior to obtaining biomarker data from the patient. Each event can include one or more of a performance time, patient guidance to perform the event, a request for information from the patient a request for patient action, and a request for collection of biomarker data from the patient. The adherence criterion can be used to assess whether an event performed is acceptable to addressing the medical use case and/or question, and the exit criterion establishes conditions needed to be met prior to exiting the collection procedure.

Abstract: A method for analysing physiological measurement values of a user is proposed. The method comprises at least one data acquisition step, wherein, during the data acquisition step, physiological measurement values of the user are acquired at different measurement times and stored in a measurement data record; at least one pattern selection step, wherein, during the pattern selection step, measurement values acquired during one comparison time interval are selected as at least one comparison pattern; and at least one pattern recognition step, wherein, during the pattern recognition step, patterns corresponding to the comparison pattern are sought after in the measurement data record.

Abstract: Embodiments related to a system and method managing the implementation, execution, data collection, and data analysis of a structured collection procedure running on a portable, hand-held collection device are disclosed. The collection device performing the structured collection procedure has program instructions that when executed by a processor causes the processor to initiate automatically a schedule of events of the structured collection procedure upon one or more entry criterions being met at some unknown time, store in memory patient data collected in accordance to the schedule of events, end automatically the structured collection procedure upon one or more exit criterions being met at some unknown time, and mark/indicate the structured collection procedure as completed if no exception occurred during performance of an event in the schedule of events.

Abstract: The application relates to a method for analyzing continuously monitored physiological measurement values of a user, the method being performed in a data processing system and comprising: providing, by a data interface, a set of present physiological measurement values, determining whether a common pattern of values is contained in both the set of present physiological measurement values and a set of historical physiological measurement values, if the common pattern of values is found, requesting the user to provide contextualization for at least the present physiological measurement values of the common pattern of values, receiving contextualization and storing contextualized data. Furthermore, the application relates to a device for analyzing continuously monitored physiological measurement values of a user.

Abstract: The application relates to a method for analyzing continuously monitored physiological measurement values of a user, the method being performed in a data processing system and comprising: providing, by a data interface, a set of present physiological measurement values, determining whether a common pattern of values is contained in both the set of present physiological measurement values and a set of historical physiological measurement values, if the common pattern of values is found, requesting the user to provide contextualization for at least the present physiological measurement values of the common pattern of values, receiving contextualization and storing contextualized data. Furthermore, the application relates to a device for analyzing continuously monitored physiological measurement values of a user.

Abstract: A method for analysing physiological measurement values of a user is proposed. The method comprises at least one data acquisition step, wherein, during the data acquisition step, physiological measurement values of the user are acquired at different measurement times and stored in a measurement data record; at least one pattern selection step, wherein, during the pattern selection step, measurement values acquired during one comparison time interval are selected as at least one comparison pattern; and at least one pattern recognition step, wherein, during the pattern recognition step, patterns corresponding to the comparison pattern are sought after in the measurement data record.

Abstract: A medical system is disclosed, which can be useable in particular for monitoring and/or controlling at least one bodily function of a user. The medical system comprises a control device and at least one medical user element embodied separately from the control device. The medical user element and the control device are designed to exchange data wirelessly. The medical system is designed to enable an automatic assignment step, wherein an exchange of personal data between the medical user element and the control device is enabled by the automatic assignment step. The medical system is furthermore designed to automatically initiate the automatic assignment step by means of an assignment coupling between the medical user element and the control device. The medical system is furthermore designed to enable a separation of the assignment coupling for medical operation of the medical system after the assignment step.

Abstract: A method for analysing physiological measurement values of a user is proposed. The method comprises at least one data acquisition step, wherein, during the data acquisition step, physiological measurement values of the user are acquired at different measurement times and stored in a measurement data record; at least one pattern selection step, wherein, during the pattern selection step, measurement values acquired during one comparison time interval are selected as at least one comparison pattern; and at least one pattern recognition step, wherein, during the pattern recognition step, patterns corresponding to the comparison pattern are sought after in the measurement data record.

Abstract: A structured testing method for diagnostic or therapy support of a patient with a chronic disease and devices thereof are disclosed which implement a structured collection procedure based on a medical use case and/or question which provides at least one or more parameters defining entry criterion, a schedule of events, adherence criterion, and exit criterion. The entry criterion establish conditions needed to be met prior to obtaining biomarker data from the patient. Each event can include one or more of a performance time, patient guidance to perform the event, a request for information from the patient a request for patient action, and a request for collection of biomarker data from the patient. The adherence criterion can be used to assess whether an event performed is acceptable to addressing the medical use case and/or question, and the exit criterion establishes conditions needed to be met prior to exiting the collection procedure.

Abstract: A method for analyzing physiological measurement values of a user is proposed. The method comprises at least one data acquisition step, wherein, during the data acquisition step, physiological measurement values of the user are acquired at different measurement times and stored in a measurement data record; at least one pattern selection step, wherein, during the pattern selection step, measurement values acquired during one comparison time interval are selected as at least one comparison pattern; and at least one pattern recognition step, wherein, during the pattern recognition step, patterns corresponding to the comparison pattern are sought after in the measurement data record.

Abstract: A structured testing method for diagnostic or therapy support of a patient with a chronic disease and devices thereof are disclosed which implement a structured collection procedure based on a medical use case and/or question which provides at least one or more parameters defining entry criterion, a schedule of events, adherence criterion, and exit criterion. The entry criterion establish conditions needed to be met prior to obtaining biomarker data from the patient. Each event can include one or more of a performance time, patient guidance to perform the event, a request for information from the patient a request for patient action, and a request for collection of biomarker data from the patient. The adherence criterion can be used to assess whether an event performed is acceptable to addressing the medical use case and/or question, and the exit criterion establishes conditions needed to be met prior to exiting the collection procedure.

Abstract: Embodiments of a testing method for diabetics to optimize their administered insulin dosage comprise collecting sampling sets of biomarker data, each sampling set comprising a sufficient plurality of non-adverse sampling instances and each sampling instance comprising an acceptable biomarker reading at a single point in time recorded upon compliance with adherence criteria, determining a biomarker sampling parameter from each sampling set, comparing the biomarker sampling parameter to a target biomarker range, calculating an insulin adjustment parameter associated with the biomarker sampling parameter if the biomarker sampling parameter falls outside the target biomarker range, adjusting the insulin dosage by the insulin adjustment parameter if the biomarker sampling parameter falls outside the target biomarker range and the insulin dosage does not exceed maximum dosage, and exiting the testing method if the adjusted insulin dosage is optimized.

Abstract: A method for analysing physiological measurement values of a user is proposed. The method comprises at least one data acquisition step, wherein, during the data acquisition step, physiological measurement values of the user are acquired at different measurement times and stored in a measurement data record; at least one pattern selection step, wherein, during the pattern selection step, measurement values acquired during one comparison time interval are selected as at least one comparison pattern; and at least one pattern recognition step, wherein, during the pattern recognition step, patterns corresponding to the comparison pattern are sought after in the measurement data record.

Abstract: A method for analysing physiological measurement values of a user is proposed. The method comprises at least one data acquisition step, wherein, during the data acquisition step, physiological measurement values of the user are acquired at different measurement times and stored in a measurement data record; at least one pattern selection step, wherein, during the pattern selection step, measurement values acquired during one comparison time interval are selected as at least one comparison pattern; and at least one pattern recognition step, wherein, during the pattern recognition step, patterns corresponding to the comparison pattern are sought after in the measurement data record.

Abstract: Embodiments of a testing method for diabetics to optimize their administered insulin dosage comprise collecting sampling sets of biomarker data, each sampling set comprising a sufficient plurality of non-adverse sampling instances and each sampling instance comprising an acceptable biomarker reading at a single point in time recorded upon compliance with adherence criteria, determining a biomarker sampling parameter from each sampling set, comparing the biomarker sampling parameter to a target biomarker range, calculating an insulin adjustment parameter associated with the biomarker sampling parameter if the biomarker sampling parameter falls outside the target biomarker range, adjusting the insulin dosage by the insulin adjustment parameter if the biomarker sampling parameter falls outside the target biomarker range and the insulin dosage does not exceed maximum dosage, and exiting the testing method if the adjusted insulin dosage is optimized.