Abstract: A fluid heating system for heating a production fluid using a thermal transfer fluid, the production fluid being contained in a vessel includes an electric blower configured to receive ambient air and electrical input power and to provide output source air, a combustion system configured to receive the source air from the electric blower and to receive fuel and to provide the thermal transfer fluid, a heat exchanger configured to receive the thermal transfer fluid from the combustion system and configured to provide heat exchange from the thermal transfer fluid to the production fluid, and to provide output exhaust gas, and wherein the electric fan provides a predetermined volume flow rate of the output source air at a predetermined blower efficiency such that the fluid heating system has a Bulk Heat Flux of at least about 14.7 kBTU/Hr/ft2 and a Pressure Drop of at least about 0.7 psi.

Abstract: A system, method, and computer program product for calibrating force sensors is provided. The force sensors can be provided in a wearable device worn by a user underfoot. A force sensing apparatus has a plurality of apparatus force sensors and a charging unit. The charging unit can charge an energy storage device of the wearable device when the wearable device is received on the upper surface of the apparatus. The force sensing apparatus can sense a force applied to the upper surface of the apparatus when the wearable device is worn by a user while standing on the upper surface of the apparatus. At the same time, the force sensors in the wearable device can generate sensor readings. The system can determine a calibration model for the device force sensors by comparing the force values from the apparatus force sensors and the device force sensors in the wearable device.

Abstract: A force sensor and sensor system for measuring shear force and/or vertical torque. The force sensor has an upper substrate layer, a lower substrate layer, an upper sensor portion, and a lower sensor portion. The upper sensor portion has an upper conductive layer and an upper force-sensitive resistor layer applied to the upper conductive layer. The lower sensor portion has a lower conductive layer applied to the upper surface of the lower substrate layer and a lower force-sensitive resistor layer applied to the lower conductive layer. The lower force-sensitive resistor layer and the upper force-sensitive resistor layer are laterally offset under a zero-shear force condition and/or a zero-torque condition and the lower force-sensitive resistor layer and the upper force-sensitive resistor layer are moveable laterally towards or away from each other in response to a shear force and/or a torque.

Abstract: A retention nut for securing a separator element is described herein. The retention nut includes a first portion of the retention nut that includes a threaded cavity to enable coupling of the retention nut to a structural member attached to the separator element, wherein the first portion of the retention nut comprises a means for providing a positive seal between the retention nut and the separator element, and a second portion of the retention nut that includes a feature that is couplable to a retention nut tool using a mechanical force such that a torque applied to the retention nut tool is sufficiently transmitted to the retention nut to one of: tighten the retention nut onto the structural element and loosen the retention nut from the structural element.

Abstract: A system, method and computer program product for quantitatively assessing an injury recovery state for a user. Sensor data can be obtained from a plurality of sensors positioned to contact the user while the user performs a set of specified activities. The sensors can be mounted to a user using one or more wearable devices. Metric values can be calculated from the sensor data obtained while the user performs the specified activities. The metric values can be compared to baseline values for the user. A quantified injury recovery state value can be calculated based on the comparison of the metric values with the respective baseline values. The quantified injury recovery state value can provide a quantitative assessment of a user's injury recovery or injury risk that can be used to provide activity recommendations and/or return-to-play (RTP) decisions in athletics.

Abstract: A system for use with a user interface system, a first data provider, a second data provider and a display device. The system comprises a data input component, a fishbone diagram generating component, an output component, a user interface component, and a data trend generating component. The data trend generating component can generate data trend image data based on a trends diagram instruction. The output component can further output the data trend image data to the display device to be displayed so as to include a first graphical function and a second graphical function, wherein the first graphical function corresponds to first patient laboratory test data, and wherein the second graphical function corresponds to second patient laboratory test data.

Abstract: A user module for a patient support is provided. The user module is coupled to a patient support barrier, such as a siderail or a footboard.

Abstract: Techniques directed to utilizing networked devices to enhance user experience are described. In an example, sensor data received from sensor(s) associated with a facility can be used to determine a presence of a user equipment (UE) within or proximate to the facility. Based at least in part on the sensor data, an account associated with the UE can be accessed. Based at least in part on account data associated with the account, a distribution of network technology can be modified to temporarily enable the UE to access a service that is not otherwise available to at least one other UE within or proximate to the facility.

Abstract: A system, method and computer program product for creating a custom footwear article design. A plurality of sensor readings are obtained from a corresponding plurality of sensors provided in a wearable device while the wearable device is worn by a user while also wearing a test footwear article. At least one customization criterion can be identified for the user. A plurality of biomechanical contributing factor values can be determined for the user based on the sensor readings. A cost value can be determined based on differences between the biomechanical contributing factor values and a plurality of preferred biomechanical contributing factor values. A footwear article design is optimized by adjusting at least one characteristic of the test footwear article to minimize the cost value. The custom footwear article design can be identified as the footwear article design corresponding to a minimum cost value.

Abstract: A system, method, and computer program product for generating a virtual avatar representing a plurality of users. Sensor data is obtained from sensor sets associated with each user. A user performance metric can be determined for each user based on the corresponding sensor data. An avatar performance metric is generated based on the user performance metrics determined for the plurality of users. An avatar performance characteristic is then determined from the avatar performance metric. The avatar performance characteristic can be used to control the performance of a virtual avatar within a virtual environment. The virtual avatar can be animated and displayed within the virtual environment based on the avatar performance characteristic.

Abstract: A system, method and computer program product for generating a virtual avatar representing a user. Sensor data is obtained from a plurality of sensors mounted to the user. The sensor data includes force sensor data from force sensors positioned underfoot of the user and IMU data from a plurality of inertial measurement units (IMUs) mounted at respective IMU locations on the user. An activity type is determined from the sensor data. An estimated full-body posture of the user is determined by inputting the IMU data, force sensor data, and activity type to a machine learning model trained to estimate full-body posture. The estimated full-body posture specifies a limb position and a limb orientation for each limb of the user. The virtual avatar is generated based on the estimated full-body posture and can be displayed. The virtual avatar can be generated without the use of motion capture sensors.

Abstract: Embodiments disclosed herein include a computer system. In an embodiment, the computer system comprises a printed circuit board assembly (PCBA) with a first surface and a second surface opposite from the first surface. In an embodiment, a first computer processor module is coupled to the first surface of the PCBA, and a second computer processor module is coupled to the second surface of the PCBA. In an embodiment, the first computer processor module is communicatively coupled to the second computer processor module through an electrical path that passes through a thickness of the PCBA.

Abstract: A system, method and computer program product for determining user-specific weights usable to synthesize sensor data at void locations in a sensor array. Initial estimation weights are determined for the void locations. Sensor readings are obtained from a plurality of sensors while a user performs predefined actions. The sensors are arranged in a first pattern that maps the sensors to respective locations on the wearable device. Synthesized sensor readings are determined based on the sensor readings and the initial estimation weights. User-specific weights are determined by modifying the initial estimation weights using an aggregate force value determined from the obtained sensor readings. The user-specific weights can be used to determine synthesized sensor readings at void locations for the user. The sensor array can be mounted to a carrier device such as a wearable device worn by the user or fitness equipment used by the user.

Abstract: A system for use with a user interface system, a first data provider, a second data provider and a display device. The system comprises a data input component, a fishbone diagram generating component, an output component, a user interface component, and a data trend generating component. The data trend generating component can generate data trend image data based on a trends diagram instruction. The output component can further output the data trend image data to the display device to be displayed so as to include a first graphical function and a second graphical function, wherein the first graphical function corresponds to first patient laboratory test data, and wherein the second graphical function corresponds to second patient laboratory test data.

Abstract: A user module for a patient support is provided. The user module is coupled to a patient support barrier, such as a siderail or a footboard.

Abstract: A footwear system includes a sensorized insole, a wireless charging transmitter pod, and a wireless charging mat. The insole has an insole bulk having a foot-facing upper surface and a ground-facing lower surface. One or more sensors, one or more batteries, and a wireless charging receiver pod are embedded in the insole bulk. The transmitter pod receives energy and wirelessly transmits energy to the receiver pod. The transmitter pod is positionable against the foot-facing upper surface to wirelessly provide energy to the receiver pod through the insole bulk. The mat receives energy and wirelessly transmits energy to the receiver pod. The mat is positionable adjacent the ground-facing lower surface to wirelessly provide energy to the receiver pod through the first insole bulk. The system is configured to allow only one of the transmitter pod and the mat to provide energy to the receiver pod at a given time.

Abstract: A system, method, and computer program product for analyzing force sensor data is provided. Force sensor data collected from a plurality of force sensors positioned underfoot is analyzed to detect foot contact events and/or a foot contact period. Foot contact and/or foot off can be detected based on inflection points identified in the force signal data received from the plurality of sensors. Identifying foot contact events by detecting inflection points in the force sensor data can increase the sensitivity of detecting both foot contact and foot off. The use of inflection points also allows both foot contact and foot off to be identified even when these foot contact events occur at different force signal heights. Methods for determining ground reaction force data and correcting the magnitude of ground reaction force signals are also provided.

Abstract: A system, method and computer program product for determining mechanical running power. A plurality of sensor readings is acquired from a plurality of force sensors positioned underfoot. Force values are determined for a plurality of strides using aggregate force data. The slope, a stance time and running speed are determined for each stride. The mechanical running power associated with the plurality of sensor readings is determined by inputting the force values, the slope, the stance time and the running speed to a machine learning model trained to predict the mechanical running power. The mechanical running power can then be provided to the user as feedback or stored for purposes such as later review and analysis. The inputs to the machine learning model can be determined entirely based off of sensor data received from a wearable device worn by the user.

Abstract: A system, method and computer program product for determining cycling power. A plurality of force sensor readings are acquired from force sensors positioned underfoot. At least one revolution is identified. Force values are determined for the at least one revolution using aggregate force data. The cycling cadence, foot velocity, and foot angle are determined for each revolution. User mass is also determined. The cycling power associated with the force sensor readings is determined by inputting the force values, the cycling cadence, the foot velocity, and the foot angle, and the user mass to a machine learning model trained to predict the cycling power. The cycling power can then be provided to the user as feedback or stored for purposes such as later review and analysis. The inputs to the machine learning model can be determined entirely based off of sensor data received from a wearable device worn by the user.

Abstract: A system, method and computer program product for synthesizing sensor data in a wearable device. Sensor readings are obtained from a plurality of sensors, the plurality of sensors arranged in a first predetermined pattern, where the first predetermined pattern maps each of the plurality of sensors to respective locations on the wearable device. Based on the plurality of sensor readings and a plurality of estimation weights, a plurality of synthesized sensor readings are estimated for a corresponding plurality of synthesized sensors. The plurality of synthesized sensors are arranged in a second predetermined pattern, wherein the second predetermined pattern maps each of the plurality of synthesized sensors to respective locations on the wearable device. The plurality of sensor readings and the plurality of synthesized sensor readings can be output to provide a comprehensive set of sensor readings. The estimation weights can be optimized in a preprocessing phase.