Abstract: A mechanism for automatically generating and ranking M-mode lines for generating or defining M-mode data usable to assess fetal heart activity, e.g. determine a fetal heart rate. A region of interest, containing a fetal heart, in a sequence of ultrasound images is identified. The region of interest is used to define the position of each of a plurality of M-mode lines, e.g. anatomical M-mode lines. A quality measure of each M-mode line is determined based on M-mode data generated for each M-mode line, and the quality measures are then used to rank the M-mode lines.

Abstract: This disclosure describes an event bus system that, as part of an inter-network facilitation system, can generate and distribute network events for self-service event requests utilizing a network event data streaming platform. For example, the disclosed systems can utilize a network event data streaming platform that includes specialized network components, such as a batch distribution data lake and an event fanning platform. The disclosed systems can utilize the batch distribution data lake to distribute long-retention network events for high-latency event requests. Additionally, the disclosed systems can utilize the event fanning platform to generate low-latency fanned data streams from short-retention network events for low-latency event requests.

Abstract: This disclosure describes an event bus system that, as part of an inter-network facilitation system, can generate and distribute network events for self-service event requests utilizing a network event data streaming platform. For example, the disclosed systems can utilize a network event data streaming platform that includes specialized network components, such as a batch distribution data lake and an event fanning platform. The disclosed systems can utilize the batch distribution data lake to distribute long-retention network events for high-latency event requests. Additionally, the disclosed systems can utilize the event fanning platform to generate low-latency fanned data streams from short-retention network events for low-latency event requests.

Abstract: This disclosure describes an event fanning system that, as part of an inter-network facilitation system, can generate and provide consumer application data streams using an event fanning platform. For example, the disclosed systems can utilize an event fanning platform to generate application-specific data streams for providing requested network events. The disclosed systems can further tie a consumer application data stream to a lifecycle of the consumer application requesting one or more network events included within the data stream. Additionally, the disclosed systems can utilize the event fanning platform to generate updated consumer application data streams based on modifications to consumer applications.

Abstract: This disclosure describes an event bus system that, as part of an inter-network facilitation system, can generate and distribute network events for self-service event requests utilizing a network event data streaming platform. For example, the disclosed systems can utilize a network event data streaming platform that includes specialized network components, such as a batch distribution data lake and an event fanning platform. The disclosed systems can utilize the batch distribution data lake to distribute long-retention network events for high-latency event requests. Additionally, the disclosed systems can utilize the event fanning platform to generate low-latency fanned data streams from short-retention network events for low-latency event requests.

Abstract: This disclosure describes a schema modification system that, as part of an inter-network facilitation system, can intelligently generate and update payload schemas for maintaining compatibility across changing network components. For example, the disclosed systems utilize custom tooling to detect changes in component versions and to update payload schemas to translate digital payloads between components that require different payload formats (e.g., due to an update to one component or another). In some cases, the disclosed systems can utilize a code generator to generate a payload conversion code from a payload schema and can implement the payload conversion code to convert a digital payload from a source format to a target format (e.g., to pass from a source component to a target component). The disclosed systems can also utilize schema annotations that accompany a payload schema to perform various functions, including removing sensitive information and identifying third-party systems.

Abstract: A battery emulator can include an active voltage controlled device (VCD), one or more selectable RC filter banks, and a controller coupled to the active VCD and the one or more selectable RC filter banks. The controller may be configured to sense a load on the battery emulator and control the active VCD so as to implement a low frequency battery transfer function derived from a battery model. The controller may be further configured to control the one or more selectable RC filter banks so as to implement a high frequency battery transfer function derived from the battery model. The controller may further include a gas gauge emulation module configured to interface with a gas gauge interface of a device under test. The controller may further include a communications module configured to interface with a test host.

Abstract: A computing device includes a low power auxiliary processor, such as a processor on a wireless card or sub-system, which is able to takeover processing in place of the computing device's central processing unit (CPU). Operating the computing device on the auxiliary processor draws less power from the computing device battery, enabling extended operation in an auxiliary processor mode. When in this mode, the auxiliary processor controls peripherals and provides the system functionality while the CPU is deactivated, such as in “off,” “standby” or “sleep” modes. In the auxiliary processor mode, the computing device can accomplish useful tasks, such as sending/receiving electronic mail, displaying electronic documents and accessing a network while drawing minimal power from the battery. Transitions between the normal operating mode and auxiliary processor mode may be transparent to users. Such a computer may display instant on, always on and always connected operating features.

Abstract: A computing device includes a low power auxiliary processor, such as a processor on a wireless card or sub-system, which is able to takeover processing in place of the computing device's central processing unit (CPU). Operating the computing device on the auxiliary processor draws less power from the computing device battery, enabling extended operation in an auxiliary processor mode. When in this mode, the auxiliary processor controls peripherals and provides the system functionality while the CPU is deactivated, such as in “off,” “standby” or “sleep” modes. In the auxiliary processor mode, the computing device can accomplish useful tasks, such as sending/receiving electronic mail, displaying electronic documents and accessing a network while drawing minimal power from the battery. Transitions between the normal operating mode and auxiliary processor mode may be transparent to users. Such a computer may display instant on, always on and always connected operating features.