Abstract: An apparatus and method for determining a normalized voltage across non-identical electrodes. The apparatus includes a first transducer having a first electrode type and configured to detect bioelectrical activity and output a first potential signal, as a function of the bioelectrical activity and at least a processor and a memory communicatively connected to the at least a processor. The memory instructs the processor to receive the first potential signal, and to generate, using a normalization model, a normalized potential signal as a function of the first potential signal, wherein generating the normalized potential signal comprises generating the normalization model comprises training the normalization model using paired potential signal data, wherein the paired potential signal data comprises first potential signal data collected from a first electrode type paired with second potential signal data collected from a second electrode type.

Abstract: A system for determining position signals of electrodes using a retrained machine-learning model includes at least a catheter including a plurality of electrodes configured to collect a plurality of potential signals and a magnetic sensor configured to collect magnetic data, and at least a computing device including a memory. The processor receives a first training set, wherein the first training set includes patient-agnostic data; receives a second training set, wherein the second training set includes patient-specific data, trains a mapping machine-learning model using the first training set, retrains the mapping machine-learning model using the second training set, receives at least a first signal, wherein the first signal includes a potential signal of the plurality of potential signal and the magnetic data, and generates, using the retrained machine-learning model, as a function of the at least a first signal, a first position signal for an electrode of the plurality of electrodes.

Abstract: A system for artificial intelligence assisted medical device localization, wherein the system includes at least a processor; a catheter communicatively connected to the at least a processor, and a memory containing instructions configuring the at least a processor to localize the catheter. The catheter may include one or more electrodes configured to detect a plurality of potential signals and at least a magnetic sensor configured to detect position data. Localizing the catheter may include receiving position data from the at least a magnetic sensor, receiving a plurality of potential signals from the one or more electrodes, wherein the plurality of potential signals includes at least a reference electrode datum and at least a query electrode datum, instantiating a localization machine-learning model, inputting the position data and the plurality of potential signals, and determining, using the localization machine-learning model, a location of the one or more query electrodes.

Abstract: Apparatus and method for object pose estimation are disclosed. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor, wherein the memory contains instructions configuring the at least a processor to receive a plurality of sets of echo data, wherein the plurality of sets of echo data is configured for generation of a plurality of echo depth maps, segment the plurality of echo depth maps, determine a depth datum related to pixels of an object of interest as a function of the plurality of segmented echo depth maps, generate a three dimensional (3D) point cloud related to the object of interest as a function of the depth datum and generate a pose datum of the object of interest as a function of the 3D point cloud.

Abstract: An apparatus for the generation of an impedance model of a biological chamber, wherein the apparatus includes at least a catheter assembly including at least a tip formed by a plurality of limbs, wherein each limb of the plurality of limbs includes a plurality of electrodes arranged into one or more constraint pairs, at least a processor communicatively connected to the at least a catheter assembly and a memory communicatively connected to the at least a processor, wherein the memory contains instructions configuring the at least a processor to record voltage data from the plurality of electrodes within a biological chamber as a function of a plurality of relative configurations, map a plurality of impedance metrics as a function of the voltage data and generate an impedance model as a function of the map.

Abstract: A system for locating a medical device using an electrical field creation comprising a plurality of excitation patches positioned on a hemispherical electrical field, a common ground patch, at least a catheter assembly comprising at least a tip comprising a plurality of electrodes, and a processor configured to transmit an electric signal between each excitation patch and the common ground patch; measure at least a voltage at the plurality of electrodes; generate an assessment of an impedance location an electrode of the plurality of electrodes as a function of the plurality of voltages; and retrieve a location of the device using of the at least a voltage and the assessment of the impedance location.

Abstract: Apparatus and method for object pose estimation are disclosed. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor, wherein the memory contains instructions configuring the at least a processor to receive a plurality of sets of echo data, wherein the plurality of sets of echo data is configured for generation of a plurality of echo depth maps, segment the plurality of echo depth maps, determine a depth datum related to pixels of an object of interest as a function of the plurality of segmented echo depth maps, generate a three dimensional (3D) point cloud related to the object of interest as a function of the depth datum and generate a pose datum of the object of interest as a function of the 3D point cloud.

Abstract: A system for determining position signals of electrodes using a retrained machine-learning model includes at least a catheter including a plurality of electrodes configured to collect a plurality of potential signals and a magnetic sensor configured to collect magnetic data, and at least a computing device including a memory. The processor receives a first training set, wherein the first training set includes patient-agnostic data; receives a second training set, wherein the second training set includes patient-specific data, trains a mapping machine-learning model using the first training set, retrains the mapping machine-learning model using the second training set, receives at least a first signal, wherein the first signal includes a potential signal of the plurality of potential signal and the magnetic data, and generates, using the retrained machine-learning model, as a function of the at least a first signal, a first position signal for an electrode of the plurality of electrodes.

Abstract: A method of removing an organic micropollutant from a treatment solution including passing the treatment solution through a membrane, and collecting a filtered solution. The filtered solution contains at least 50% less of the organic micropollutant than the treatment solution. The membrane includes a polysulfone support and an active layer containing zinc oxide (ZnO) nanoparticles.

Abstract: Described herein are systems and methods for digitizing a slide. A system may include a slide; an optical system; and a computing device configured to identify metadata associated with the slide; determine a first scanning parameter as a function of the metadata; and using the optical system, capture a z-stack as a function of the first scanning parameter.

Abstract: An apparatus for the generation of an impedance model of a biological chamber is disclosed. The apparatus includes a catheter assembly comprising a plurality of electrodes arranged into one or more constraint pairs. The apparatus includes a processor and a memory communicatively connected to the processor. The memory instructs the processor to receive tank data. The memory instructs the processor to generate a plurality of relative configurations of the plurality of electrodes as a function of the tank data using a compliant configuration generator. The memory instructs the processor to record voltage data from the plurality of electrodes within a biological chamber as a function of the plurality of relative configurations. The memory instructs the processor to map a plurality of impedance metrics for each relative configuration as a function of the voltage data. The memory instructs the processor to generate an impedance model as a function of the map.

Abstract: An apparatus and method for inline scanned image enrichment is provided. The apparatus includes a computing device configured to receive a plurality of subject data, generate a candidate set to model the scan focal points from, digitally capture the slide using the identified focal points through machine-learning processes, processing the captured image to optimize its viewability, and storing the captured image in an accessible repository.

Abstract: Embodiments are directed to systems and methods for the automation of lot composition and pricing for returned assets sent to auction. Embodiments implement deep learning and optimization techniques to set a starting bid price and create lot composition that will provide an organization with the optimal value for its returned assets. A user portal allows organizations to manage auctions, lots, payment, disputes and other functions for buyers and sellers in the auction marketplace, in addition to viewing data analytics and performing “what if” analysis.

Abstract: A system and method for inspection and cosmetic grading of objects is provided. Camera and lighting assemblies capture images of an object and create a 2D composite image which is processed by an image processing module with a deep learning machine algorithm to detect surface defects in the object. Detected defects are localized and measured for depth of defect by an advanced optical sensor, providing a 3D representation of defects. A cosmetic grading algorithm determines the cosmetic grade of the object and the optimal path of disposition for the item based on the grade.

Abstract: The subject of the invention is new membranes in which tailor-made membrane transport proteins (such as e.g. TCDB classified proteins) act as pore-forming proteins (e.g. FhuA) or peptides which act as pores in the membrane. The membranes can preferably be produced both by linking synthesised protein-polymer conjugates and by direct linking of the pore-forming proteins and peptides. Such membranes are distinguished by many outstanding features which existing membranes have not been able to offer to date.

Abstract: For a wind turbine, an electromagnetically shielding nacelle cover is formed of a composite material which can comprise, for example, an outer layer made of a fiber material or fiber mats such as glass fiber mats and an interposed foam layer. A conductor layer, for example a mesh, a woven fabric or a coating made of conductive material is integrated between the fiber layers of the composite material to provide electromagnetic shielding of the nacelle. The conductor layer is also connected, or can be connected, directly or indirectly, to at least one conductive structure that is applied to the outside of the nacelle cover.

Abstract: For a wind turbine, an electromagnetically shielding nacelle cover is formed of a composite material which can comprise, for example, an outer layer made of a fiber material or fiber mats such as glass fiber mats and an interposed foam layer. A conductor layer, for example a mesh, a woven fabric or a coating made of conductive material is integrated between the fiber layers of the composite material to provide electromagnetic shielding of the nacelle. The conductor layer is also connected, or can be connected, directly or indirectly, to at least one conductive structure that is applied to the outside of the nacelle cover.