Abstract: Systems and methods for detecting and reporting patterns in analyte concentration data are provided. According to some implementations, an implantable device for continuous measurement of an analyte concentration is disclosed. The implantable device includes a sensor configured to generate a signal indicative of a concentration of an analyte in a host, a memory configured to store data corresponding at least one of the generated signal and user information, a processor configured to receive data from at least one of the memory and the sensor, wherein the processor is configured to generate pattern data based on the received information, and an output module configured to output the generated pattern data. The pattern data can be based on detecting frequency and severity of analyte data in clinically risky ranges.

Abstract: Disease prediction using analyte measurements and machine learning is described. In one or more implementations, a combination of features of analyte measurements may be selected from a plurality of features of the analyte measurements based on a robustness metric and a performance metric of the combination, and a machine learning model may be trained to predict a health condition classification using the combination. The performance metric may be associated with an accuracy of predicting the health condition classification, and the robustness metric may be associated with an insensitivity to analyte sensor manufacturing variabilities on the accuracy. Once trained, the machine learning model predicts the health condition classification for a user based on analyte measurements of the user collected by a wearable analyte monitoring device. The combination of features may be extracted from the analyte measurements of the user and input into the machine learning model to predict the classification.

Abstract: A system is provided for monitoring analyte in a host, including a continuous analyte sensor that produces a data stream indicative of a host's analyte concentration and a device that receives and records data from the data stream from the continuous analyte sensor. In one embodiment, the device includes a single point analyte monitor, from which it obtains an analyte value, and is configured to display only single point analyte measurement values, and not any analyte measurement values associated with data received from the continuous analyte sensor. Instead, data received from the continuous analyte sensor is used to provide alarms to the user when the analyte concentration and/or the rate of change of analyte concentration, as measured by the continuous analyte sensor, is above or below a predetermined range. Data received from the continuous analyte sensor may also be used to prompt the diabetic or caregiver to take certain actions, such as to perform another single point blood glucose measurement.

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 one embodiment, a processing device receives a first digital fingerprint of a media item along with a first content management rule. The processing device separately receives a second digital fingerprint of the media item along with a second content management rule. The processing device determines that the received digital fingerprints are for the same media item based upon a match between the first digital fingerprint and the second digital fingerprint. The processing device determines that all rights to the media item have been accounted for, and then determines a set of actions to be performed for hosted media items comprising the media item based at least in part upon the first content management rule and the second content management rule. Processing logic may also perform a conflict resolution process for conflicting rights claims to the media item.

Abstract: A method of providing a content stream based on capturing an initial delivery of the content stream.

Abstract: Systems and methods are described that provide a dynamic reporting functionality that can identify important information and dynamically present a report about the important information that highlights important findings to the user. The described systems and methods are generally described in the field of diabetes management, but are applicable to other medical reports as well. In one implementation, the dynamic reports are based on available data and devices. For example, useless sections of the report, such as those with no populated data, may be removed, minimized in importance, assigned a lower priority, or the like.

Abstract: In one embodiment, a processing device receives a first digital fingerprint of a media item along with a first content management rule. The processing device separately receives a second digital fingerprint of the media item along with a second content management rule. The processing device determines that the received digital fingerprints are for the same media item based upon a match between the first digital fingerprint and the second digital fingerprint. The processing device determines that all rights to the media item have been accounted for, and then determines a set of actions to be performed for hosted media items comprising the media item based at least in part upon the first content management rule and the second content management rule. Processing logic may also perform a conflict resolution process for conflicting rights claims to the media item.

Abstract: In implementations of adaptive systems for continuous glucose monitoring (CGM), a computing device implements an adaptive system to receive glucose data describing user glucose values measured by a sensor of a CGM system, the sensor is inserted at an insertion site. The adaptive system accesses orientation data describing forces measured by an accelerometer of the CGM system, and the adaptive system identifies a location of the insertion site based on the orientation data. Modified glucose data is generated by modifying the user glucose values based on the location of the insertion site. The adaptive system generates an indication of the modified glucose data for display in a user interface of a display device.

Abstract: A method of monitoring compliance with an insulin regimen prescribed for a diabetic patient includes receiving continuous glucose monitoring (CGM) data for the patient over a period of time; determining a degree of variability in the CGM data obtained over the period of time; evaluating compliance with the prescribed insulin regimen based at least in part on the degree of variability in the CGM data that is determined; and responsive to the evaluating, causing at least one action to be performed to facilitate a change in patient behavior that increases compliance with the prescribed insulin regimen when compliance is determined to be less than required to optimize therapeutic treatment of diabetes in the diabetic patient.

Abstract: A system is provided for monitoring analyte in a host, including a continuous analyte sensor that produces a data stream indicative of a host's analyte concentration and a device that receives and records data from the data stream from the continuous analyte sensor. In one embodiment, the device includes a single point analyte monitor, from which it obtains an analyte value, and is configured to display only single point analyte measurement values, and not any analyte measurement values associated with data received from the continuous analyte sensor. Instead, data received from the continuous analyte sensor is used to provide alarms to the user when the analyte concentration and/or the rate of change of analyte concentration, as measured by the continuous analyte sensor, is above or below a predetermined range. Data received from the continuous analyte sensor may also be used to prompt the diabetic or caregiver to take certain actions, such as to perform another single point blood glucose measurement.

Abstract: Diabetes prediction using glucose measurements and machine learning is described. In one or more implementations, the observation analysis platform includes a machine learning model trained using historical glucose measurements and historical outcome data of a user population to predict a diabetes classification for an individual user. The historical glucose measurements of the user population may be provided by glucose monitoring devices worn by users of the user population, while the historical outcome data includes one or more diagnostic measurements obtained from sources independent of the glucose monitoring devices. Once trained, the machine learning model predicts a diabetes classification for a user based on glucose measurements collected by a wearable glucose monitoring device during an observation period spanning multiple days. The predicted diabetes classification may then be output, such as by generating one or more notifications or user interfaces based on the classification.

Abstract: Diabetes prediction using glucose measurements and machine learning is described. In one or more implementations, the observation analysis platform includes a machine learning model trained using historical glucose measurements and historical outcome data of a user population to predict a diabetes classification for an individual user. The historical glucose measurements of the user population may be provided by glucose monitoring devices worn by users of the user population, while the historical outcome data includes one or more diagnostic measurements obtained from sources independent of the glucose monitoring devices. Once trained, the machine learning model predicts a diabetes classification for a user based on glucose measurements collected by a wearable glucose monitoring device during an observation period spanning multiple days. The predicted diabetes classification may then be output, such as by generating one or more notifications or user interfaces based on the classification.

Abstract: A boot for preventing unintended contact with live electrical components of a medium voltage control device. The boot having cover for accessing mechanical fasteners used to connect electrical conductors to control equipment when periodic maintenance is required.

Abstract: A crank arm of an auxiliary rotary switch in a circuit breaker changes electrical connections of contacts in the auxiliary rotary switch when the crank-arm is rotated about its axis. An auxiliary switch actuator decouples abrupt forces from being applied to the crank arm resulting from closing main contacts of the circuit breaker. In response to the main contacts starting to close, the crank arm is set into rotation by motion of a connection-state link that is coupled to the main contacts. The rotation of the crank arm continues up to a point at which the rotation is stopped, while the connection-state link continues its motion without being connected to the crank arm. In this manner, the connection-state link is decoupled from the crank arm, to relieve the crank arm from receiving the abrupt forces conducted by the connection-state link resulting from the main circuit breaker contacts closing.

Abstract: A grounding system for a rackable circuit breaker includes a finger cluster connector connected to a grounding bus in the circuit breaker and a rail conductor mounted in a circuit breaker cradle and connected to ground potential. The finger cluster connector includes a conductor formed from a single plate of conductive material folded into a generally U-shaped body with first and second sides divided into a plurality of fingers. Distal ends of the fingers form mutually facing parallel surfaces of a constricted passage configured to make a sliding electrical contact with the rail conductor that is advanced into the constricted passage as the circuit breaker is racked into the cradle. First and second leaf springs fastened to the conductor portion are divided into a plurality of spring finger sections with spring distal ends configured to respectively press against the distal ends of respective fingers of the conductor portion.

Abstract: 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.

Abstract: Wireless mesh network (WMN) architectures of network hardware devices organized in a mesh topology is described. One device communicates, using a first radio, first data with a second device via a first wireless link between the device and the second device. The device communicates, using a second radio, second data with a third device via a second wireless link between the device and the third device. The device communicates, using a third radio, third data with a fourth device via a third wireless link between the device and the fourth device. The device communicates, using a fourth radio, fourth data with a server of a content delivery network (CDN) via a point-to-point wireless link between the device and the server. The device is an only ingress point for content files for a mesh network that includes at least the device, the second device, and the third device.

Abstract: A method of enabling remote audience participation at a live venue event includes receiving, at an aggregator, media inputs from one or more user device of one or more users in a subscription roster for participation in a live event; generating an aggregated media stream by processing the media inputs; and forwarding the aggregated media stream to a venue of the live event.

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.