Abstract: Embodiments may relate to an intelligent patient monitoring system, which may include a weight support device, a computer, and a display. The weight support device supports a patient and includes a sensor grid layer with a plurality of sensors to measure pressure data. The computer predicts a pressure injury outcome and/or a fall outcome based on the pressure data. The pressure injury outcome includes a prediction of risk of the patient developing a pressure injury. The fall outcome includes a prediction of risk of the patient experiencing a fall. The computer may utilize a machine learning model to determine either or both outcomes. The display presents a notification generated based on the pressure injury outcome or fall outcome. The notification indicates that an adjustment of a positioning of the patient is needed to aid in the prevention of the pressure injury or the fall.

Abstract: Embodiments may relate to an air-permeable weight support system, which may include a microclimate fabric layer and an air-permeable capacitive sensor layer below the microclimate fabric layer. The air-permeable capacitive sensor layer may include two air-permeable substrates, each carrying a plurality of electrically conductive pathways that are impermeable to air. The two air-permeable substrates may securely position the electrically conductive pathways to define a sensor grid and position the electrically conductive pathways that are impermeable to air to be spaced apart to define a plurality of air pathways for the air-permeable capacitive sensor layer. The sensor data may be used to determine a sleep state of the person using the weight support system. A computer may identify the poses of the person based on the pressure sensor data. A machine learning model may rely on the poses, the heart rates, the respiration rates to determine the sleep state.

Abstract: A weight support device includes a sensor grid that measures pressure data while a user is on the weight support device. The weight support device is connected to a computer that analyzes the pressure data and generates a virtual figure to represent the user. Based on the pressure data, the computer determines how the user moves and adjusts relative positions of segments in the virtual figure that represent various body parts corresponding to the movements of the user. The relative positions of the segments may be determined based on a kinematic model. The virtual figure is presented on a display (e.g., in a video) to illustrate how the user moved.

Abstract: Embodiments may relate to an intelligent patient monitoring system, which may include a weight support device, a computer, and a display. The weight support device supports a patient and includes a sensor grid layer with a plurality of sensors to measure pressure data. The computer predicts a pressure injury outcome and/or a fall outcome based on the pressure data. The pressure injury outcome includes a prediction of risk of the patient developing a pressure injury. The fall outcome includes a prediction of risk of the patient experiencing a fall. The computer may utilize a machine learning model to determine either or both outcomes. The display presents a notification generated based on the pressure injury outcome or fall outcome. The notification indicates that an adjustment of a positioning of the patient is needed to aid in the prevention of the pressure injury or the fall.

Abstract: Embodiments may relate to an air-permeable weight support system, which may include a microclimate fabric layer and an air-permeable capacitive sensor layer below the microclimate fabric layer. The air-permeable capacitive sensor layer may include two air-permeable substrates, each carrying a plurality of electrically conductive pathways that are impermeable to air. The two air-permeable substrates may securely position the electrically conductive pathways to define a sensor grid and position the electrically conductive pathways that are impermeable to air to be spaced apart to define a plurality of air pathways for the air-permeable capacitive sensor layer. The sensor data may be used to determine a sleep state of the person using the weight support system. A computer may identify the poses of the person based on the pressure sensor data. A machine learning model may rely on the poses, the heart rates, the respiration rates to determine the sleep state.

Abstract: A method for planning a bone grafting procedure includes the collection of imaging scan data of the target region and of a harvest region as a source for a bone graft complementary to the target region. Virtual bone model and harvest regions are generated. A computer processor determines at least one parameter for a bone graft model complementary to the target region. A location at the harvest region for the bone graft is identified based on the bone graft model. The location of the harvest region is registered to a first computer-assist device and the bone graft is harvested. The target region is registered to the first computer-assist device or another device. The cutting characteristics for the target region are communicated to the first computer-assist device or the other device to receive the bone graft. A surgical system for performing the computerized method is also provided.

Abstract: A composite material comprising 50 to 95 mass % grains of primary material selected from the group consisting of talc, mica, graphite and hexagonal boron nitride, and 0.01 to 40 mass % fibers having a length of 0.05 to 20 mm, and a ratio of length to diameter of at least 5. The grains of the primary material have a mean size of 3 to 50 microns.

Abstract: An assembly for High Pressure High Temperature (HPHT) synthesis of a superhard material. The assembly comprises a container comprising a first metal. A closure also comprising the first metal is sealed to the container using a sealant material. The sealant material comprises a second metal, the seal comprising a composition of the first and second metals formable below the melting point of the second metal. The container contains superhard material.

Abstract: A composite material comprising 50 to 95 mass % grains of primary material selected from the group consisting of talc, mica, graphite and hexagonal boron nitride, and 0.01 to 40 mass % fibres having a length of 0.05 to 20 mm, and a ratio of length to diameter of at least 5. The grains of the primary material have a mean size of 3 to 50 microns.

Abstract: An exemplary method of processing a polycrystalline diamond element is disclosed. According to the method, a protective layer may be formed over only a selected portion of a polycrystalline diamond element. The polycrystalline diamond element may include a polycrystalline diamond table. At least a portion of the polycrystalline diamond element may be exposed to a leaching solution such that the leaching solution contacts an exposed surface region of the polycrystalline diamond table and at least a portion of the protective layer. The protective layer may be substantially impermeable to the leaching solution. An exemplary method of manufacturing a polycrystalline diamond element is also disclosed.

Abstract: A method of producing tool insert which includes the steps of: (a) providing a substrate (10) having a plurality of recesses (12) therein; (b) placing in each recess (12) an ultra-hard abrasive body (14) of substantially the same size and shape as the recess; (c) brazing the bodies to the substrate (10); and (d) cutting the substrate (10) through the recesses (12) containing the bodies to produce at least one tool insert comprising a section of the substrate (10) to which is bonded at least one ultra-hard abrasive body (14) at an edge thereof.

Abstract: A drill bit comprises a working end having a slot formed therein and an unbacked diamond insert located in the slot and bonded to the working end, typically by brazing. The diamond insert will present a cutting edge or point for the bit. The diamond insert may be made of CVD diamond or diamond compact.

Abstract: A layer of material is removed from a surface of a bonded abrasive product by directing a laser beam at the surface, causing the laser beam to traverse the surface to damage the surface to a desired depth and removing the damaged material remaining on the surface, for example by lapping. The bonded abrasive product is particularly a diamond compact.