Abstract: An example of a system for programming a neurostimulator may include a storage device and a user interface. The storage device may be configured to store waveform building blocks. The user interface may include a display screen, a user input device, and an interface control circuit. The interface control circuit may include a waveform composer configured to allow for composition of one of more building blocks and composition of a pattern of neurostimulation pulses using selected one or more waveform building blocks. The waveform composer may include a library controller and waveform building block editors. The library controller may be configured to display a library management area on the screen. The displayed library management area allows a user to manage the stored waveform building blocks. The waveform building block editors may each be configured to allow the user to compose a type of the waveform building blocks.

Abstract: The present disclosure provides methods and devices for assessing movement. In some exemplary embodiments, a system for assessing movement is provided. In some embodiments, the system includes a handheld device. In some embodiments, the handheld device includes a plurality of sensors configured to record motion and position data, a body having a plurality of sides, a battery, and a proximal end configured to interact with a touchscreen of a computing device.

Abstract: The present disclosure provides methods and devices for assessing movement. In some exemplary embodiments, a system for assessing movement is provided. In some embodiments, the system includes a handheld device. In some embodiments, the handheld device includes a plurality of sensors configured to record motion and position data, a body having a plurality of sides, a battery, and a proximal end configured to interact with a touchscreen of a computing device.

Abstract: An example of a system for programming a neurostimulator may include a storage device and a user interface. The storage device may be configured to store waveform building blocks. The user interface may include a display screen, a user input device, and an interface control circuit. The interface control circuit may include a waveform composer configured to allow for composition of one of more building blocks and composition of a pattern of neurostimulation pulses using selected one or more waveform building blocks. The waveform composer may include a library controller and waveform building block editors. The library controller may be configured to display a library management area on the screen. The displayed library management area allows a user to manage the stored waveform building blocks. The waveform building block editors may each be configured to allow the user to compose a type of the waveform building blocks.

Abstract: An example of a system for programming a neurostimulator may include a storage device and a user interface. The storage device may be configured to store waveform building blocks. The user interface may include a display screen, a user input device, and an interface control circuit. The interface control circuit may include a waveform composer configured to allow for composition of one of more building blocks and composition of a pattern of neurostimulation pulses using selected one or more waveform building blocks. The waveform composer may include a library controller and waveform building block editors. The library controller may be configured to display a library management area on the screen. The displayed library management area allows a user to manage the stored waveform building blocks. The waveform building block editors may each be configured to allow the user to compose a type of the waveform building blocks.

Abstract: Systems and methods for providing curated neurostimulation are disclosed such that users are enabled to provide improved therapy in a home environment. Stimulation protocols can be assessed to provide improved targeted stimulation of a nerve and less unwanted side effects. Sets of stimulation montages and associated weights are defined and are selected or adjusted in pre-defined using pre-defined operations that simplify adjustment of characteristics of the stimulation field such as the geometry and location of the provided stimulation. Stimulation matrix pads are arranged and activated to provide advantages. Strategies for adjusting the intensity of the stimulation field incorporate weighting values in non-primary channels and are disclosed. Curated neurostimulation can also include providing defined schedules for events and activities related to the therapy such as providing schedules for stimulation treatment, surveying a user, providing education and remote user support.

Abstract: The present disclosure provides methods and devices for assessing movement. In some exemplary embodiments, a system for assessing movement is provided. In some embodiments, the system includes a handheld device. In some embodiments, the handheld device includes a plurality of sensors configured to record motion and position data, a body having a plurality of sides, a battery, and a proximal end configured to interact with a touchscreen of a computing device.

Abstract: From a hardware sensor at a first time, sensor data comprising a first sample and a second sample is received. The sensor data is modified to create new data, wherein a first data point of the new data corresponds to the first sample, a second data point of the new data corresponds to the second sample, and wherein the first data point and the second data point are arranged differently from the first sample and the second sample. The hardware sensor is emulated by sending, to a consumer of hardware sensor data at a second time, the new data instead of the sensor data.

Abstract: A method, system and computer readable program are disclosed for managing data in a computing network. In an embodiment, the invention provides a method comprising obtaining specified data from a database in the computing network, aggregating the specified data in a defined data structure stored in the computing network, and specifying in the data structure properties over the data aggregated in the data structure. In an embodiment, a plurality of services in the computing network use the data in the data structure in accordance with the properties specified in the data structure. In an embodiment, one or more of the services modifies one or more of the properties specified in the data structure based on a transformation by the one or more of the services of the data aggregated in the data structure.

Abstract: From a hardware sensor at a first time, sensor data comprising a first sample and a second sample is received. The sensor data is modified to create new data, wherein a first data point of the new data corresponds to the first sample, a second data point of the new data corresponds to the second sample, and wherein the first data point and the second data point are arranged differently from the first sample and the second sample. The hardware sensor is emulated by sending, to a consumer of hardware sensor data at a second time, the new data instead of the sensor data.

Abstract: A method, system and computer readable program are disclosed for managing data in a computing network. In an embodiment, the invention provides a method comprising obtaining specified data from a database in the computing network, aggregating the specified data in a defined data structure stored in the computing network, and specifying in the data structure properties over the data aggregated in the data structure. In an embodiment, a plurality of services in the computing network use the data in the data structure in accordance with the properties specified in the data structure. In an embodiment, one or more of the services modifies one or more of the properties specified in the data structure based on a transformation by the one or more of the services of the data aggregated in the data structure.

Abstract: An example of a system for programming a neurostimulator may include a storage device and a user interface. The storage device may be configured to store waveform building blocks. The user interface may include a display screen, a user input device, and an interface control circuit. The interface control circuit may include a waveform composer configured to allow for composition of one of more building blocks and composition of a pattern of neurostimulation pulses using selected one or more waveform building blocks. The waveform composer may include a library controller and waveform building block editors. The library controller may be configured to display a library management area on the screen. The displayed library management area allows a user to manage the stored waveform building blocks. The waveform building block editors may each be configured to allow the user to compose a type of the waveform building blocks.

Abstract: An example of a system for programming a neurostimulator may include a storage device and a user interface. The storage device may be configured to store waveform building blocks. The user interface may include a display screen, a user input device, and an interface control circuit. The interface control circuit may include a waveform composer configured to allow for composition of one of more building blocks and composition of a pattern of neurostimulation pulses using selected one or more waveform building blocks. The waveform composer may include a library controller and waveform building block editors. The library controller may be configured to display a library management area on the screen. The displayed library management area allows a user to manage the stored waveform building blocks. The waveform building block editors may each be configured to allow the user to compose a type of the waveform building blocks.

Abstract: An example of a system for programming a neurostimulator may include a storage device and a user interface. The storage device may be configured to store waveform building blocks. The user interface may include a display screen, a user input device, and an interface control circuit. The interface control circuit may include a waveform composer configured to allow for composition of one of more building blocks and composition of a pattern of neurostimulation pulses using selected one or more waveform building blocks. The waveform composer may include a library controller and waveform building block editors. The library controller may be configured to display a library management area on the screen. The displayed library management area allows a user to manage the stored waveform building blocks. The waveform building block editors may each be configured to allow the user to compose a type of the waveform building blocks.

Abstract: A communications apparatus is configured to bridge modalities and different communications formats. The apparatus may include a bridge to receive an input through a modality gateway and to deliver an output through an output channel, a communication engine configured to manipulate the input into the output, a router configured to route the configured output to a respective output channel, and a controller configured to control the bridge. The controller may determine a new modality depending on a context of the communications apparatus.

Abstract: A method for managing dialogue interaction includes generating a hierarchical tree representation of a set of hierarchical data entities, and identifying a leaf node in the hierarchical tree representation. A system for managing dialogue interaction includes a hierarchical data format having a plurality of hierarchical data entities, and a dialogue interaction manager that manages a dialogue with a user based upon the hierarchical data format.

Abstract: A method of generating a statistical machine translation database through a game in which a monolingual structure is provided to a plurality of players. A first translation attempt is received from each of the plurality of players. The first translation attempt from each of the plurality of players is compared. Feedback is provided to each of the plurality of players and the attempts are received and compared to provide feedback to iteratively converge subsequent translations from each of the plurality of players into a final translated structure.

Abstract: A system and method for representing call content in a searchable database includes transcribing call content to text. The call content is projected to vector space, by creating a vector by indexing the call based on the content and determining a similarity of the call to an atomic-class dictionary. The call is classified in a relational database in accordance with the vector.