Abstract: A method for determining a predicted risk level of a clinical endpoint for a predetermined time period for a patient is provided by the present disclosure. The method includes receiving video frames of a heart, the video frames being associated with the patient, receiving electronic health record data including a number of variables associated with the patient, providing the video frames and the electronic health record data to the trained neural network, receiving a risk score from the trained neural network, and outputting a report based on the risk score to at least one of a display or a memory.

Abstract: Method, and corresponding system, for receiving and adaptively compressing sensor data for an operating manufacturing machine. The method includes determining the sensor data values at the working tool positions based on a time correlation of the values of the sensor data relative to time and the working tool positions relative to time. Tool control magnitude values relative to the working tool positions are determined based on the process data. The method further includes determining a magnitude differential, relative to the working tool positions, between the sensor data values and the tool control magnitude values. Scoring data is determined by applying a scoring function to the magnitude differential. The magnitude differential data is compressed based at least in part on the scoring data. The method further includes decompressing the magnitude differential data and determining the sensor data values versus the working tool positions based on the magnitude differential data.

Abstract: Systems and methods for facilitating proximity detection and location tracking using a hub or bridge are disclosed. An example apparatus is to receive a message from a beacon at a second location within a proximity area of the apparatus, the message indicative of the second location and identifying the beacon; and relay the message to a location server to determine asset location.

Abstract: Method, and corresponding system, for receiving and adaptively compressing sensor data for an operating manufacturing machine. The method includes determining the sensor data values at the working tool positions based on a time correlation of the values of the sensor data relative to time and the working tool positions relative to time. Tool control magnitude values relative to the working tool positions are determined based on the process data. The method further includes determining a magnitude differential, relative to the working tool positions, between the sensor data values and the tool control magnitude values. Scoring data is determined by applying a scoring function to the magnitude differential. The magnitude differential data is compressed based at least in part on the scoring data. The method further includes decompressing the magnitude differential data and determining the sensor data values versus the working tool positions based on the magnitude differential data.

Abstract: Method, and corresponding system, for iteratively distributing improved process parameters to a fleet of additive manufacturing machines. The method includes receiving sensor data from a sensor for a first machine of the fleet of machines. The method further includes comparing the sensor data values at the working tool positions of the plurality of layers to reference data values at the working tool positions for the plurality of layers to determine a set of comparison measures for the first machine. The method further includes selecting a machine from among the first machine and at least a second machine of the fleet of machines based at least in part on the comparison measures of each of the machines. The method further includes receiving, from the selected machine, process parameters of the selected machine; and transmitting at least part of the process parameters of the selected machine to other machines of the fleet.

Abstract: Systems and methods for facilitating proximity detection and location tracking using a hub or bridge are disclosed. An example apparatus is to receive a message from a beacon at a second location within a proximity area of the apparatus, the message indicative of the second location and identifying the beacon; and relay the message to a location server to determine asset location.

Abstract: Method, and corresponding system, for receiving and adaptively compressing sensor data for an operating manufacturing machine. The method includes determining the sensor data values at the working tool positions based on a time correlation of the values of the sensor data relative to time and the working tool positions relative to time. Tool control magnitude values relative to the working tool positions are determined based on the process data. The method further includes determining a magnitude differential, relative to the working tool positions, between the sensor data values and the tool control magnitude values. Scoring data is determined by applying a scoring function to the magnitude differential. The magnitude differential data is compressed based at least in part on the scoring data. The method further includes decompressing the magnitude differential data and determining the sensor data values versus the working tool positions based on the magnitude differential data.

Abstract: In various example embodiments, a system and method for facilitating proximity detection and location tracking using a mobile wireless bridge are provided. The system includes a beacon badge, a beacon tag, and a real-time location services (“RTLS”) server communicatively coupled to the beacon badge, such as via a wireless network or the like. The beacon tag broadcasts a beacon message receivable by the beacon badge. The beacon badge determines whether it is proximate to the beacon badge based on the signal strength of the received beacon message. The beacon badge further communicates identifying information contained with the received beacon message to the RTLS server. The RTLS server uses the identifying information to determine the proximate location of the beacon badge.

Abstract: Method, and corresponding system, for receiving and processing sensor data for an additive manufacturing machine. The method includes determining values of the sensor data relative to time; and determining tool positions relative to time based on process data which controls operation of the additive manufacturing machine. The method further includes determining the sensor data values at the working tool positions based on a correlation of the values of the sensor data relative to time and the working tool positions relative to time. A representation of the sensor data values at the working tool positions is displayed by a user interface device.

Abstract: Method, and corresponding system, for producing an alert during manufacture of a part formed by a plurality of layers. The method includes determining the sensor data values at the working tool positions of each of the plurality of layers based on a correlation of the values of the sensor data relative to time and the working tool positions of each of the plurality of layers relative to time. During the manufacturing process, the sensor data values at the working tool positions of at least one of the plurality of layers are compared to reference data values at the working tool positions for the at least one layer to determine a comparison measure for the at least one layer. An alert is transmitted if the determined comparison measure of a layer is not within a defined range. A defined action is applied to the manufacturing process based on the transmitted alert.

Abstract: In various example embodiments, a system and method for facilitating proximity detection and location tracking using a mobile wireless bridge are provided. The system includes a beacon badge, a beacon tag, and a real-time location services (“RTLS”) server communicatively coupled to the beacon badge, such as via a wireless network or the like. The beacon tag broadcasts a beacon message receivable by the beacon badge. The beacon badge determines whether it is proximate to the beacon badge based on the signal strength of the received beacon message. The beacon badge further communicates identifying information contained with the received beacon message to the RTLS server. The RTLS server uses the identifying information to determine the proximate location of the beacon badge.

Abstract: Method, and corresponding system, for iteratively distributing improved process parameters to a fleet of additive manufacturing machines. The method includes receiving sensor data from a sensor for a first machine of the fleet of machines. The method further includes comparing the sensor data values at the working tool positions of the plurality of layers to reference data values at the working tool positions for the plurality of layers to determine a set of comparison measures for the first machine. The method further includes selecting a machine from among the first machine and at least a second machine of the fleet of machines based at least in part on the comparison measures of each of the machines. The method further includes receiving, from the selected machine, process parameters of the selected machine; and transmitting at least part of the process parameters of the selected machine to other machines of the fleet.

Abstract: Method, and corresponding system, for producing an alert during manufacture of a part formed by a plurality of layers. The method includes determining the sensor data values at the working tool positions of each of the plurality of layers based on a correlation of the values of the sensor data relative to time and the working tool positions of each of the plurality of layers relative to time. During the manufacturing process, the sensor data values at the working tool positions of at least one of the plurality of layers are compared to reference data values at the working tool positions for the at least one layer to determine a comparison measure for the at least one layer. An alert is transmitted if the determined comparison measure of a layer is not within a defined range. A defined action is applied to the manufacturing process based on the transmitted alert.

Abstract: Method, and corresponding system, for receiving and adaptively compressing sensor data for an operating manufacturing machine. The method includes determining the sensor data values at the working tool positions based on a time correlation of the values of the sensor data relative to time and the working tool positions relative to time. Tool control magnitude values relative to the working tool positions are determined based on the process data. The method further includes determining a magnitude differential, relative to the working tool positions, between the sensor data values and the tool control magnitude values. Scoring data is determined by applying a scoring function to the magnitude differential. The magnitude differential data is compressed based at least in part on the scoring data. The method further includes decompressing the magnitude differential data and determining the sensor data values versus the working tool positions based on the magnitude differential data.

Abstract: Method, and corresponding system, for receiving and processing sensor data for an additive manufacturing machine. The method includes determining values of the sensor data relative to time; and determining tool positions relative to time based on process data which controls operation of the additive manufacturing machine. The method further includes determining the sensor data values at the working tool positions based on a correlation of the values of the sensor data relative to time and the working tool positions relative to time. A representation of the sensor data values at the working tool positions is displayed by a user interface device.

Abstract: In various example embodiments, a system and method for facilitating proximity detection and location tracking using a mobile wireless bridge are provided. The system includes a beacon badge, a beacon tag, and a real-time location services (“RTLS”) server communicatively coupled to the beacon badge, such as via a wireless network or the like. The beacon tag broadcasts a beacon message receivable by the beacon badge. The beacon badge determines whether it is proximate to the beacon badge based on the signal strength of the received beacon message. The beacon badge further communicates identifying information contained with the received beacon message to the RTLS server. The RTLS server uses the identifying information to determine the proximate location of the beacon badge.

Abstract: A system and method to detect an event associated with a first object relative to a second object and a support is provided. The system can include an antenna at a support to receive the first object, a tag reader in communication with the antenna and a tag located on the second object. In response to detecting a change in impedance of the antenna associated with the presence of the first object, the tag reader communicates a presence signal. In response to detecting the tag within a threshold proximity of the tag reader, the tag reader generates a tag signal. A remoter server is operable to detect an association of the first and second objects based on a comparison a time associated with each of the tag signal and the presence signal, and in response then creates an output indicative of a detected event based on the association for illustration.

Abstract: Method, and corresponding system, for producing an alert during manufacture of a part formed by a plurality of layers. The method includes determining the sensor data values at the working tool positions of each of the plurality of layers based on a correlation of the values of the sensor data relative to time and the working tool positions of each of the plurality of layers relative to time. During the manufacturing process, the sensor data values at the working tool positions of at least one of the plurality of layers are compared to reference data values at the working tool positions for the at least one layer to determine a comparison measure for the at least one layer. An alert is transmitted if the determined comparison measure of a layer is not within a defined range. A defined action is applied to the manufacturing process based on the transmitted alert.

Abstract: In various example embodiments, a system and method for facilitating proximity detection and location tracking using a mobile wireless bridge are provided. The system includes a beacon badge, a beacon tag, and a real-time location services (“RTLS”) server communicatively coupled to the beacon badge, such as via a wireless network or the like. The beacon tag broadcasts a beacon message receivable by the beacon badge. The beacon badge determines whether it is proximate to the beacon badge based on the signal strength of the received beacon message. The beacon badge further communicates identifying information contained with the received beacon message to the RTLS server. The RTLS server uses the identifying information to determine the proximate location of the beacon badge.

Abstract: In various example embodiments, a system and method for facilitating proximity detection and location tracking using a mobile wireless bridge are provided. The system includes a beacon badge, a beacon tag, and a real-time location services (“RTLS”) server communicatively coupled to the beacon badge, such as via a wireless network or the like. The beacon tag broadcasts a beacon message receivable by the beacon badge. The beacon badge determines whether it is proximate to the beacon badge based on the signal strength of the received beacon message. The beacon badge further communicates identifying information contained with the received beacon message to the RTLS server. The RTLS server uses the identifying information to determine the proximate location of the beacon badge.