Abstract: Systems and methods disclosed here provide ways to discriminate fault types encountered in analyte sensors and systems and further provide ways to process such discriminated faults responsively based on sensor data, clinical context information, and other data about the patient or patient's environment. The systems and methods thus employ clinical context in detecting and/or responding to errors or faults associated with an analyte sensor system, and discriminating the type of fault, and its root cause, particularly as fault dynamics can appear similar to the dynamics of physiological systems, emphasizing the importance of discriminating the fault and providing appropriate responsive processing. Thus, the disclosed systems and methods consider the context of the patient's health condition or state in determining how to respond to the fault.

Abstract: Techniques for data analysis and user guidance are provided. One or more current measurements of one or more current analyte levels for the user are received from a sensor. A pattern is generated based on the one or more current measurements and the one or more past measurements. A first alignment with a first user target is then determined based on the pattern, where the first user target relates to one or more of a mental state or physical state of the user. A first result is output to the user, based on the determined first alignment.

Abstract: Systems, devices, and methods are disclosed for wireless communication of analyte data. In embodiments, a method of using a diabetes management partner interface to configure an analyte sensor system for wireless communication with a plurality of partner devices is provided. The method includes the analyte sensor system receiving authorization to provide one of the partner devices with access to a set of configuration parameters via the diabetes management partner interface. The set of configuration parameters is stored in a memory of the analyte sensor system. The method also includes, responsive to input received from the one partner device via the diabetes management partner interface, the analyte sensor system setting or causing a modification to the set of configuration parameters, according to a system requirement of the one partner device.

Abstract: An example continuous glucose monitor includes a printed circuit board (“PCB”) having first and second outer layers and an inner layer; a semiconductor package having a plurality of pins coupled to the first outer layer of the PCB; an electrical contact formed on the second outer layer of the PCB; a trace having a first portion disposed on the first outer layer, a second portion disposed on the inner layer, and a third portion disposed on the second outer layer, the trace having a first end coupled to a first pin of the plurality of pins and a second end coupled to the electrical contact; and an encapsulant disposed around a perimeter of the semiconductor package, the encapsulant covering the plurality of pins, the first portion of the sensor trace, the third portion of the sensor trace, wherein an upper surface of the semiconductor package remains exposed.

Abstract: Certain aspects of the present disclosure relate to methods and systems for technical support of continuous analyte monitoring and sensor systems. In certain aspects, a method includes sensing, by an analyte sensor, analyte levels of a patient to generate one or more sensed signals. The method further includes generating, by a transmitter, a plurality of event indications based on the one or more sensed signals. The method further includes transmitting, by the transmitter, the plurality of event indications to a processor. The method also includes receiving the plurality of event indications indicating one or more errors associated with the analyte sensor. The method further includes determining one or more root causes associated with the plurality of event indications based on a pattern associated with the plurality of event indications. The method also includes taking one or more actions to resolve the one or more root causes.

Abstract: Various examples are directed to systems and methods of and using analyte sensors. An example analyte sensor system comprises an analyte sensor and a hardware device in communication with the analyte sensor. The hardware device may be configured to perform operations comprising applying a first bias voltage to the analyte sensor, the first bias voltage less than an operational bias voltage of the analyte sensor, measuring a first current at the analyte sensor when the first bias voltage is applied, and applying a second bias voltage to the analyte sensor. The operations may further comprise measuring a second current at the analyte sensor when the second bias voltage is applied, detecting a plateau bias voltage using the first current and the second current, determining that the plateau bias voltage is less than a plateau bias voltage threshold, and executing a responsive action at the analyte sensor.

Abstract: The present invention relates generally to systems and methods for measuring an analyte in a host. More particularly, the present invention relates to systems and methods for transcutaneous measurement of glucose in a host.

Abstract: Disclosed are systems and methods for providing automated or semi-automated technical support for patients using medical devices, such as continuous glucose monitoring systems. Disclosed embodiments of automated tech support system include collection and storage of copies of streams of medical device data on multiple servers, analysis and comparison of data streams, remote tech support initiation and usage of the automated tech support system for providing improved products and services by storing and analyzing historical tech support data.

Abstract: Various examples are directed to systems and methods for measuring a parameter related to patient health. An analyte sensor system may detect that the analyte sensor system has been applied to a host and may store analyte data describing the host. The analyte sensor system may determine that sensor use at the analyte sensor system has terminated and upload stored analyte data to an upload computing device.

Abstract: Devices and methods are provided for continuous measurement of an analyte concentration. The device can include a sensor having a plurality of sensor elements, each having at least one characteristic that is different from other sensor(s) of the device. In some embodiments, the plurality of sensor elements are each tuned to measure a different range of analyte concentration, thereby providing the device with the capability of achieving a substantially consistent level of measurement accuracy across a physiologically relevant range. In other embodiments, the device includes a plurality of sensor elements each tuned to measure during different time periods after insertion or implantation, thereby providing the sensor with the capability to continuously and accurately measure analyte concentrations across a wide range of time periods.

Abstract: Sensor devices including dissolvable tissue-piercing tips are provided. The sensor devices can be used in conjunction with dissolvable needles configured for inserting the sensor devices into a host. Hardening agents for strengthening membranes on sensor devices are also provided. Methods of using and fabricating sensor devices are also provided.

Abstract: Methods and apparatus, including computer program products, are provided for processing analyte data. In some example implementations, a method may include generating glucose sensor data indicative of a host's glucose concentration using a glucose sensor; calculating a glycemic variability index (GVI) value based on the glucose sensor data; and providing output to a user responsive to the calculated glycemic variability index value. The GVI may be a ratio of a length of a line representative of the sensor data and an ideal length of the line. Related systems, methods, and articles of manufacture are also disclosed.

Abstract: In some examples, a sensor holder device is described. The sensor holder device may include a rigid body, a set legs attached to the rigid body, a sensor guiding structure, a sensor retaining structure, and an electrical trace. The sensor retaining structure may be sized to accommodate a sensor wire. The electrical trace may extend proximate the sensor retaining structure and along one of the legs.

Abstract: A wearable glucose monitor may include a compact having an antenna positioned on a housing of the glucose monitor to allow the size of the antenna to be larger than a printed circuit board of the glucose monitor positioned internal to the housing. The antenna may be communicatively coupled to a wireless communication device, such as a transceiver on the PCB, to transmit glucose level measurements to an external device through low-frequency radio signals. In some aspects, the antenna may be configured to be distributed into multiple sections positioned on different sections of the housing and connected to form a complete antenna.

Abstract: Devices are presented for measurement of an analyte concentration. The devices comprise: a sensor configured to generate a signal indicative of a concentration of an analyte; and a sensing membrane located over the sensor. The sensing membrane comprises an enzyme domain comprising an enzyme, a base polymer, and a hydrophilic polymer which makes up from about 5 wt. % to about 30 wt. % of the enzyme domain.

Abstract: Detection of anomalous computing environment behavior using glucose is described. An anomaly detection system receives glucose measurements and event records during a first time period. Missing events that are missing from the event records during the first time period are identified by processing the glucose measurements using an event engine simulator. An anomaly detection model is generated based on the missing events during the first time period. Subsequently, the anomaly detection system receives additional glucose measurements and additional event records during a second time period. Missing events that are missing from the additional event records during the second time period are identified by processing the additional glucose measurements using the event engine simulator. Anomalous behavior is detected if the identified missing events that are missing from the event records during the second time period are outside a predicted range of missing events of the anomaly detection model.

Abstract: Various examples are directed to systems and methods for patient monitoring. An example method comprises receiving an estimated glucose concentration level of the patient from a continuous glucose monitoring (CGM) system for a first time period. The method may also include receiving non-glucose information relating to the patient for the first time period and determining a relationship between the estimated glucose concentration level and the non-glucose information. The method may also include receiving non-glucose information relating to the patient for a second time period and determining diabetic information about the patient for the second time period based upon the determined relationship and the non-glucose information. The method may include electronically delivering a notification about the diabetic information.

Abstract: Systems and methods for continuous measurement of an analyte in a host are provided. The system generally includes a continuous analyte sensor configured to continuously measure a concentration of analyte in a host and a sensor electronics module physically connected to the continuous analyte sensor during sensor use, wherein the sensor electronics module is further configured to directly wirelessly communicate sensor information to one or more display devices. Establishment of communication between devices can involve using a unique identifier associated with the sensor electronics module to authenticate communication. Times tracked at the sensor electronics module and the display module can be at different resolutions, and the different resolutions can be translated to facilitate communication. In addition, the frequency of establishing communication channels between the sensor electronics module and the display devices can vary depending upon whether reference calibration information is being updated.

Abstract: Sensor systems can be used to measure an analyte concentration. Sensor systems can include a base having a distal side configured to face towards a person's skin. An adhesive can couple the base to the skin. A transcutaneous analyte measurement sensor can be coupled to the base and can be located at least partially in the host. A transmitter can be coupled to the base and can transmit analyte measurement data to a remote device.