Dexcom, Inc.

Data describing glucose measurements is received from a continuous glucose monitoring (CGM) system worn by a user and predicted glucose values during a future time period are generated for the user based on the data. A determination is made that at least one of the predicted glucose values satisfies a threshold value for an alert, which is associated with a prediction horizon that defines an amount of time prior to satisfaction of the threshold value for communicating the alert to the user. Output of the alert is caused responsive to determining that the at least one predicted glucose value satisfies the threshold value for the alert within the prediction horizon, relative to a current time. The prediction horizon is modified based on a user response to the alert. Output of a subsequent instance of the alert is caused based on the modified prediction horizon.

The present disclosure relates generally to apparatuses and methods of selectively coating along a length of an elongated body with a coating. In some examples, the elongated body is an insertable analyte sensor portion and the coating comprises one or more anti-inflammatory compounds or tissue response modifiers. One or more additional layers are also disclosed that modulate a release rate or an amount of the one or more anti-inflammatory compounds or tissue response modifiers after implantation in interstitial fluid.

Methods and apparatus, including computer program products, are provided for remote monitoring. In some example implementations, there is provided a method. The method may include receiving, at a remote monitor, a notification message representative of an event detected, by a server, from analyte sensor data obtained from a receiver monitoring an analyte state of a host; presenting, at the remote monitor, the notification message to activate the remote monitor, wherein the remote monitor is configured by the server to receive the notification message to augment the receiver monitoring of the analyte state of the host; accessing, by the remote monitor, the server, in response to the presenting of the notification message; and receiving, in response to the accessing, information including at least the analyte sensor data. Related systems, methods, and articles of manufacture are also disclosed.

Pre-connected analyte sensors are provided. A pre-connected analyte sensor includes a sensor carrier attached to an analyte sensor. The sensor carrier includes a substrate configured for mechanical coupling of the sensor to testing, calibration, or wearable equipment. The sensor carrier also includes conductive contacts for electrically coupling sensor electrodes to the testing, calibration, or wearable equipment.

Aspects of the present disclosure provide a power activation module for powering one or more wearable electronic components. The power activation module includes a switch configured to provide a path for current flow between a battery associated with the power activation module, the one or more wearable electronic components, and a ground terminal. The power activation module also includes a sensor configured to detect whether a signal is applied to the sensor and, based on the detection, output a first digital output signal for controlling, at least in part, the switch to control the current flow from the battery to the one or more wearable electronic components. The power activation module also includes a lock pin configured to receive a lock signal, wherein when the lock signal is received, the switch is locked to allow current flow from the battery to the one or more wearable electronic components.

Methods and apparatus, including computer program products, are provided for processing analyte data. In some exemplary embodiments, there is provided a method. The method may include selecting at least one module from among a plurality of modules, the selection performed based on metadata including one or more of the following rules: whether the at least one module can be used with a type of device, whether the at least one module can be used with a glycemic state of a host, and whether the at least one module can be used with an expected volume of data generated by the type of device; and generating a report including the selected at least one module configured to present information representative of the glucose concentration level measured in the host. Related systems, methods, and articles of manufacture are also disclosed.

Systems and methods for processing sensor data and end of life detection are provided. In some embodiments, a method for determining the end of life of a continuous analyte sensor includes evaluating a plurality of risk factors using an end of life function to determine an end of life status of the sensor and providing an output related to the end of life status of the sensor. The plurality of risk factors may be selected from the list including the number of days the sensor has been in use, whether there has been a decrease in signal sensitivity, whether there is a predetermined noise pattern, whether there is a predetermined oxygen concentration pattern, and error between reference BG values and EGV sensor values.

Certain aspects of the present disclosure relate generally to configuring applications used in conjunction with medical devices in order to help with monitoring and improving the patient's health. Certain aspects include a method including receiving a request for assets including access information associated with a user of a computing device, the access information including feature customization information for a health intervention application and being issued by an account management service for the health intervention application, and validating that the access information is valid. The method may also include responsive to the validating, generating configuration information identifying a set of assets with which the health intervention application is to be provisioned based, at least in part, on the feature customization information included in the access information, and transmitting the configuration information to the health intervention application to configure the health intervention application with the identified set of assets.

A device for generating alerts for Hypo and Hyperglycemia Prevention from Continuous Glucose Monitoring (CGM) determines a dynamic risk based on both information of glucose level and a trend obtainable from a CGM signals. The device includes a display whose color depends on the DR (for example, red for high DR, green for low risk). When DR exceeds a certain threshold, alerts are generated to suggest the patient to pay attention to the current glucose reading and to its trend, both of which are shown on the display in numbers and symbols (e.g. an arrow with different slope or color).