Abstract:
A mathematical model of type 1 diabetes (T1D) patient decision-making can be used to simulate, in silico, realistic glucose/insulin dynamics, for several days, in a variety of subjects who take therapeutic actions (e.g. insulin dosing) driven by either self-monitoring blood glucose (SMBG) or continuous glucose monitoring (CGM). The decision-making (DM) model can simulate real-life situations and everyday patient behaviors, Accurate submodels of SMBG and CGM measurement errors are incorporated in the comprehensive DM model. The DM model accounts for common errors the patients are used to doing in their diabetes management, such as miscalculations of meal carbohydrate content, early/delayed insulin administrations and missed insulin boluses. The DM model can be used to assess in silico if/when CGM can safely substitute SMBG in T1D management, to develop and test guidelines for CGM driven insulin dosing, to optimize and individualize off-line insulin therapies and to develop and test decision support systems.
Abstract:
The present disclosure relates to techniques for receiving glucose data from a continuous glucose sensor and controlling the use and redistribution of that data so it is used in an intended manner. In one aspect, a method includes preparing data including glucose levels using a continuous glucose sensor unit; wirelessly transmitting the data relating to the glucose levels to a display device from the continuous glucose sensor unit; automatically forwarding the data relating to the glucose levels from the display device to a cloud computing architecture; and storing the data relating to the glucose levels in separate groups at the cloud computing architecture.
Abstract:
Provided are systems and methods using which users may learn and become familiar with the effects of various aspects of their lifestyle on their health, e.g., users may learn about how food and/or exercise affects their glucose level and other physiological parameters, as well as overall health. In some cases the user selects a program to try; in other cases, a computing environment embodying the system suggests programs to try, including on the basis of pattern recognition, i.e., by the computing environment determining how a user could improve a detected pattern in some way. In this way, users such as type II diabetics or even users who are only prediabetic or non-diabetic may learn healthy habits to benefit their health.
Abstract:
Systems and methods of use for continuous analyte measurement of a host's vascular system are provided. In some embodiments, a continuous glucose measurement system includes an electrochemical sensor incorporating a silver/silver chloride reference electrode, wherein a capacity of the reference electrode is controlled.
Abstract:
The present disclosure relates to systems, devices and methods for receiving biosensor data acquired by a medical device, e.g., relating to glucose concentration values, and controlling the access and distribution of that data. In some embodiments, systems and methods are disclosed for monitoring glucose levels, displaying data relating to glucose values and metabolic health information, and controlling distribution of glucose data between applications executing on a computer, such as a smart phone. In some embodiments, systems and methods are disclosed for controlling access to medical data such as continuously monitored glucose levels, synchronizing health data relating to glucose levels between multiple applications executing on a computer, and/or encrypting data.
Abstract:
The subject matter disclosed herein provides methods for presenting glucose level data. Glucose data for a patient may be received. A current glucose level and a rate of change of the current glucose level may be determined based on the received glucose data. A first interface may be displayed on a screen of a device. The first interface may include a unitary icon. The unitary icon may display the current glucose level and a visualization of the rate of change. Related apparatus, systems, techniques, and articles are also described.
Abstract:
Devices and methods for determining analyte levels are described. The devices and methods allow for the implantation of analyte-monitoring devices, such as glucose monitoring devices, that result in the delivery of a dependable flow of blood to deliver sample to the implanted device. The devices comprise a unique microarchitectural arrangement in the sensor region that allows accurate data to be obtained over long periods of time.
Abstract:
The subject matter disclosed herein provides methods for presenting glucose level data. Glucose data for a patient may be received. A current glucose level and a rate of change of the current glucose level may be determined based on the received glucose data. A first interface may be displayed on a screen of a device. The first interface may include a unitary icon. The unitary icon may display the current glucose level and a visualization of the rate of change. Related apparatus, systems, techniques, and articles are also described.
Abstract:
Methods and systems for encouraging interactions with a glucose monitoring system include incrementing a score and/or providing a reward based on a variety of different interactions with the glucose monitoring system. The interactions which improve the score may include initiating or changing displays, downloading data, setting operational parameters and other interactions that are independent of a user's glucose measurements. Encouraging these interactions can enhance success in maintaining healthy glucose concentrations.