Abstract: A computer-implemented method and a system for analyzing glucose monitoring data indicative of a glucose level, comprising: presenting by a data processing device provided a graphical window on a display device wherein the graphical window comprises a time abscissa axis that defines time units, and a glucose ordinate axis that defines glucose units; receiving a plurality of glucose monitoring values associated with a monitoring time period by the data processing device; segmenting the plurality of glucose monitoring values into a plurality of glucose monitoring traces indicative of the glucose level; defining a reference trace segment; determining the reference trace segment for each of the plurality of glucose monitoring traces; and plotting, for a time window comprising the reference trace segment, the plurality of glucose monitoring traces within the graphical window. Furthermore, a non-transitory computer readable medium is disclosed.

Abstract: A patient diabetes monitoring system with an efficient unsupervised daily monitoring profile clustering algorithm, a method, and a computer product thereof are disclosed. The system may include a physiological data input device or sensor which receives a plurality of physiological measurements to generate a dataset, a memory which stores a clustering algorithm, and a processor. The clustering algorithm when executed by the processor, causes the processor to automatically pre-process the dataset to control an amount of bias/aggressiveness from the collected unsupervised daily monitoring profiles, thereby generating a pre-processed dataset, build a similarity matrix from the pre-processed dataset, and output an optimum number of similarity clusters found by the processor from the similarity matrix.

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 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 method of enhancing readability of a graph showing glucose values received from a continuous glucose monitoring device (CGM) on the display of a handheld device includes receiving a plurality of CGM glucose values separated by a first fixed time interval. A second fixed time interval at which to display at least a portion of the plurality of CGM glucose values is received. The second fixed time interval is greater than the first fixed time interval. A computer processor of the handheld device determines a characteristic CGM glucose value at a preselected fixed time for each of a sequence of second fixed time intervals within a patient-specified time period. Each characteristic CGM glucose value is derived from two or more received CGM values centered about the preselected fixed time in the corresponding second fixed time interval. The characteristic CGM glucose values for a patient-selected period of time on the display.

Abstract: A hand-held device for measuring an analyte concentration in a sample of a body liquid includes a display means for displaying measured values; a measured-value storage for storing measured values; a measuring unit for generating measured values through measurements of the analyte concentration; a clock; a control unit for generating measured value datasets, each containing a measured value supplied by the measuring unit as well as the date and hour of the measurement by which the measured value was obtained, and for writing them into the measured-value storage; and operating elements that can be actuated by the user to set the clock, in which case the control unit will generate a time-correction dataset indicating the amount and direction of the setting effected. The control unit writes time-correction datasets into the measured-value storage so that a chronologically ordered sequence is generated containing time-correction datasets and measured value datasets.

Abstract: A hand-held device for measuring an analyte concentration in a sample of a body liquid includes a display means for displaying measured values; a measured-value storage for storing measured values; a measuring unit for generating measured values through measurements of the analyte concentration; a clock; a control unit for generating measured value datasets, each containing a measured value supplied by the measuring unit as well as the date and hour of the measurement by which the measured value was obtained, and for writing them into the measured-value storage; and operating elements that can be actuated by the user to set the clock, in which case the control unit will generate a time-correction dataset indicating the amount and direction of the setting effected. The control unit writes time-correction datasets into the measured-value storage so that a chronologically ordered sequence is generated containing time-correction datasets and measured value datasets.

Abstract: Methods and apparatuses for visualizing correlations between blood glucose data and events are disclosed. The methods and apparatus can include presenting an event analysis window on a display communicatively coupled to one or more processors. The event analysis window can include an event type control positioned within the event analysis window and a graphical window positioned within the event analysis window. A plurality of continuous glucose monitoring traces can be plotted within the graphical window. Bolus icons each indicative of a bolus amount and a bolus time can be presented within the event analysis window. Each of the bolus icons can include a bolus indication object that is aligned with the bolus ordinate axis within the graphical window, a bolus time indication object that is aligned with the time abscissa axis within in the graphical window, and a bolus symbol that is presented outside of the graphical window.

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 of enhancing readability of a graph showing glucose values received from a continuous glucose monitoring device (CGM) on the display of a handheld device includes receiving a plurality of CGM glucose values separated by a first fixed time interval. A second fixed time interval at which to display at least a portion of the plurality of CGM glucose values is received. The second fixed time interval is greater than the first fixed time interval. A computer processor of the handheld device determines a characteristic CGM glucose value at a preselected fixed time for each of a sequence of second fixed time intervals within a patient-specified time period. Each characteristic CGM glucose value is derived from two or more received CGM values centered about the preselected fixed time in the corresponding second fixed time interval. The characteristic CGM glucose values for a patient-selected period of time on the display.

Abstract: A hand-held device for measuring an analyte concentration in a sample of a body liquid includes a display means for displaying measured values; a measured-value storage for storing measured values; a measuring unit for generating measured values through measurements of the analyte concentration; a clock; a control unit for generating measured value datasets, each containing a measured value supplied by the measuring unit as well as the date and hour of the measurement by which the measured value was obtained, and for writing them into the measured-value storage; and operating elements that can be actuated by the user to set the clock, in which case the control unit will generate a time-correction dataset indicating the amount and direction of the setting effected. The control unit writes time-correction datasets into the measured-value storage so that a chronologically ordered sequence is generated containing time-correction datasets and measured value datasets.