Abstract: Subject matter disclosed herein relates to a method and/or system for tailoring insulin therapies to physiological characteristics of a patient. In particular, observations of a blood glucose concentration of a patient responsive to a meal profile and an insulin profile may be used for estimating one or more physiological parameters.

Abstract: A method for estimating glucose values of a user and an insulin infusion and management system are provided. The insulin infusion and management system can include an insulin infusion device configured to deliver insulin to a user; a blood glucose meter; a source of user activity data; and a processor-based computing device that supports data communication with the insulin infusion device. A processor device of the computing device can perform a method for estimating glucose values of a user. In accordance with the method, a first set of inputs can be received and processed via an estimation model for a user to generate a set of estimated glucose values that track actual glucose values.

Abstract: Technologies are provided for classifying detected events as labeled event combinations. Input data for different combinations of detected events are received at a server system, and each combination of detected events is processed at the server system. Processing can include classifying that combination of detected events at a classifier to map that combination of detected events to a probability of an increased insulin delivery demand or a probability of a decreased insulin delivery demand, and labeling each classified combination of detected events with a label to generate a corresponding labeled event combination that has the probability of the increased insulin delivery demand or the probability of the decreased insulin delivery demand. Each labeled event combination can be stored in storage as a database of labeled event combinations, and selected ones of the labeled event combinations can be processed at a client application to generate an output result.

Abstract: This disclosure generally relates to medical devices that include a sensor transmitter assembly that includes a sensor assembly including a sensor module where a first sensor including a first sensor head having at least one first sensor contact pad is combined with a second sensor including a second sensor head having at least one second sensor contact pad. The sensor transmitter assembly also includes a transmitter assembly positioned on a top of the sensor assembly to form a single unit, the transmitter assembly having at least one transmitter contact disposed on a base of the transmitter assembly, where the first sensor contact pad(s) and the second sensor form a connection path with the transmitter contact(s).

Abstract: Embodiments of the invention provide compositions useful in implantable devices such as analyte sensors as well as methods for making and using such compositions and devices. In typical embodiments of the invention, the device is a glucose sensor comprising an analyte modulating layer formed from acrylate hydrogel composition that modulates the diffusion of glucose through the analyte modulating layer and which further comprises a bioactive agent selected to enhance the biocompatibility of analyte sensors when implanted in vivo.

Abstract: Systems, devices, and techniques are disclosed for administering and tracking medicine to patients and providing health management capabilities for patients and caregivers. In some aspects, an intelligent medicine administering system includes a medicine injection device having a multi-channel encoder that detects fault conditions (e.g., such as open or short circuits) and a patient user's companion device including a software application operable to implement algorithms for detecting faults and communication loss and alerting the patient user for safety and fail-safes of the medicine injection device.

Abstract: A processor-implemented method includes obtaining measurement data indicative of a physiological condition measured by a sensing arrangement located at a site on a body, determining a lag associated with the sensing arrangement based on a relationship between the measurement data and reference data, and identifying, based on the lag, the site at which the sensing arrangement is located from a plurality of sites on the body.

Abstract: Embodiments of the invention provide multilayer analyte sensors having material layers (e.g. high-density amine layers) and/or configurations of material layers that function to enhance sensor function, as well as methods for making and using such sensors. Typical embodiments of the invention include glucose sensors used in the management of diabetes.

Abstract: A processor-implemented method comprises obtaining current operational context information associated with a sensing device; obtaining an expected calibration factor parameter model associated with a patient; calculating an expected calibration factor value based on the expected calibration factor parameter model and the current operational context information; obtaining one or more electrical signals from the sensing device, the one or more electrical signals having a signal characteristic indicative of a physiological condition; converting the one or more electrical signals into a calibrated measurement value for the physiological condition using the expected calibration factor value; and outputting the calibrated measurement value for the physiological condition.

Abstract: A user-mountable electronic device includes a housing, an accelerometer located within the housing, and at least one processor located within the housing. The accelerometer measures acceleration of the user-mountable electronic device and is configured to generate an output in response to detecting acceleration of the user-mountable electronic device that is greater than a minimum acceleration threshold. The at least one processor controls operation of the user-mountable electronic device. The at least one processor is configured to receive the output generated by the accelerometer and, in response thereto, to transition from a dormant or standby state of the user-mountable electronic device to an active state of the user-mountable electronic device.

Abstract: Electrochemical Impedance Spectroscopy (EIS) is used in conjunction with continuous glucose monitors and continuous glucose monitoring (CGM) to enable in-vivo sensor calibration, gross (sensor) failure analysis, and intelligent sensor diagnostics and fault detection. An equivalent circuit model is defined, and circuit elements are used to characterize sensor behavior.

Abstract: Fluid infusion systems such as a portable fluid infusion device includes a housing configured to accommodate a removable fluid reservoir. The housing has a largest dimension and a smallest dimension. The portable fluid infusion device includes a drive system configured to be serially coupled to the removable fluid reservoir such that a combined dimension of the drive system and the removable fluid reservoir is less than or equal to the largest dimension. The portable fluid infusion device includes a planar battery configured to supply power to the drive system. The planar battery has a plurality of faces comprising one or more faces having a largest area, and the planar battery being situated such that the one or more faces are parallel to the largest dimension and the smallest dimension.

Abstract: Systems and methods for forming probes for a biosensor. In the systems and methods disclosed herein, a base substrate is provided; and a platinum layer is formed on the base substrate by sputtering platinum in the absence of oxygen. The platinum layer is formed using a sputtering pressure of at least 30 mtorr.

Abstract: Methods, computer-readable medium, and devices that provide a graphic user interface for operating a medical infusion system are described. An exemplary method includes receiving analyte level information for a user; and providing a graphic user interface on a display element that includes an analyte level chart depicting analyte values and an infusate delivery chart. An exemplary chart depicts graphics showing basal amounts of infusate delivered by the system over time, wherein each graphic is illustrated with a dimension indicating an increased, same, or decreased amount relative to an immediately preceding graphic. Further, the exemplary chart depicts indicators showing bolus amounts delivered by the medical infusion system over time, wherein at least a portion of the bolus indicators is illustrated with a dimension not to scale.

Abstract: Techniques related to automatically generating a super bolus may include determining an amount of an augmented meal bolus to be delivered to a patient for regulating the patient's glycemic response to a meal. The amount of the augmented meal bolus may exceed a sufficient amount for counteracting a glucose level increase caused by the meal. In some embodiments, the techniques may further include determining a duration of a postprandial reduction period during which basal dosage deliveries to the patient are to be reduced. In some other embodiments, the techniques may further include delivering the augmented meal bolus to the patient prior to determining whether or not to cause reduction of basal dosage deliveries. More specifically, a glucose level of the patient may be obtained after delivery of the augmented meal bolus, and the obtained glucose level may be used to determine whether to reduce basal dosage deliveries.

Abstract: A method of automatically initializing an analyte sensor for a user is disclosed here. A first analyte sensor is operated in a first measurement mode to generate first sensor signals indicative of an analyte level of the user. A second analyte sensor is deployed to measure the analyte level of the user, and is operated in an initialization mode, concurrently with operation of the first analyte sensor in the first measurement mode, to receive sensor configuration data generated by the first analyte sensor. During operation of the second analyte sensor in the initialization mode, the second analyte sensor is calibrated with at least some of the received sensor configuration data. After the calibrating, operation of the second analyte sensor is transitioned from the initialization mode to a second measurement mode during which the second analyte sensor generates second sensor signals indicative of the analyte level of the user.

Abstract: A system includes one or more processors and one or more processor-readable storage media storing instructions which, when executed by the one or more processors, cause performance of receiving, via a user interface, confirmation input that indicates user acceptance of a blood glucose (BG) measurement generated by a BG meter device, in response to receiving the confirmation input, using the BG measurement for performing both glucose sensor calibration and bolus calculation, and causing delivery of a bolus based on outputting a delivery command in accordance with the bolus calculation.

Abstract: Methods, systems, and devices are disclosed for tracking delivery of medication. In one aspect, a medication delivery tracking device can interface with and be physically placed on a medication delivery pen device. The medication delivery tracking device can detect an occurrence of a delivery of a medication by the medication delivery pen device. In some implementations, the medication delivery tracking device can detect a dose amount of the medication delivered by the medication delivery pen device.

Abstract: An analyte biosensor is provided having an analyte biosensing layer and an ethylene oxide absorption layer. The ethylene oxide absorption layer is provided over the analyte biosensing layer. A method is also provided.

Abstract: Medical devices critical to patient health and safety that communicate with third party hardware and software, such as smart devices, require validation to ensure compatibility and correct performance. Disclosed are methods and systems to perform a self-validation of hardware and/or software components with a medical device to confirm that any combination of hardware and software are compatible and perform acceptably. If the self-validation passes then the user may safely use the system, and it may report to a cloud server that the particular configuration tested was successful. If the self-validation fails, the user will be prevented from using safety-critical aspects of the application and be notified of the incompatibility; and the results may also be reported to a cloud server.