Abstract: A maternal and fetal monitoring system includes a detection probe configured to conduct physiological measurements on a maternal abdomen, the detection probe comprising a probe housing configured to be attached to the maternal abdomen, and a plurality of electrodes integrated into the probe housing and configured to acquire biopotential physiological data from the maternal abdomen. At least one controller is configured to calculate fetal heart rate (fHR) values, maternal heart rate (mHR) values, and/or uterine activity (UA) values based on both the physiological measurements and the biopotential physiological data, and a graphical display communicatively connected to the controller to receives and visually presents the calculated fHR values, mHR values, and/or UA values.

Abstract: A manually operable valve for restricting airflow to and/or from a patient. The valve includes a body having one or more walls that extend between a first end and a second end. The one or more walls form a passage between the first end and the second end of the body. Two moveable members are positioned on opposing sides of the passage and axially fixed between the first end and the second end of the body. The two moveable members are configured such that depressing the two moveable members inwardly deforms the one or more walls to thereby restrict the passage. When the two moveable members are subsequently released, the one or more walls return to unrestrict the passage.

Abstract: A computer-implemented method of validating motion correction of magnetic resonance (MR) images in a quantitative parametric map of a parameter is provided. The method includes receiving a series of motion corrected images of a series of MR images, wherein the series of MR images are MR images of an anatomical region at different points of time. For each pixel of a plurality of pixels in one of the series of motion corrected images, the method further includes generating a time series at the pixel based on the series of motion corrected images, fitting the time series to a model of the parameter, and estimating an indicator of goodness of fit of the time series to the model. The method also includes generating a metric indicating effectiveness of the motion correction based on estimated indicators of goodness of fit of the plurality of pixels, and validating the motion correction based on the metric.

Abstract: A method of controlling and processing data from a hybrid PET-MR imaging system includes acquiring a positron emission tomographic (PET) dataset over a time period, wherein the PET dataset is affected by a quasi-periodic motion of the patient, and acquiring magnetic resonance (MR) data during the time period such that the acquisition time of the MR data relative to the PET dataset is known. A characteristic of the patient motion is then determined based on the PET dataset and the MR data is processed based on the characteristic of patient motion.

Abstract: Various methods and systems are provided for generating a guided workflow and assisting in clinical decision making during operation of an imaging system at a site. Via a protocol manager interface, displaying a default protocol generated for the imaging system by a manufacturer, an authorized user may customize the protocol for the site. A workflow, in accordance with the modified protocol, is then displayed to another non-authenticated user at a time of operating the imaging system for an active scan.

Abstract: Techniques are provided for deep neural network (DNN) identification of realistic synthetic images generated using a generative adversarial network (GAN). According to an embodiment, a system is described that can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise, a first extraction component that extracts a subset of synthetic images classified as non-real like as opposed to real-like, wherein the subset of synthetic images were generated using a GAN model. The computer executable components can further comprise a training component that employs the subset of synthetic images and real images to train a DNN network model to classify synthetic images generated using the GAN model as either real-like or non-real like.

Abstract: A surface electrode for patient monitoring includes a flexible substrate, a dry electrode on the substrate, and a wet electrode configured to contact an electrode gel in contact with a patient's skin. A conductive epoxy is arranged between the dry electrode and the wet electrode. The conductive epoxy is configured to protect the dry electrode from corrosion and transfer electrical potentials from the wet electrode to the printed dry electrode.

Abstract: A portable ultrasound imaging assembly includes a probe management system to facilitate the positioning of accessories, such as containers and/or probes of various types and associated cords utilized with a portable ultrasound imaging system forming a part of the ultrasound imaging assembly. The probe management system includes dedicated attachment locations and/or handles that enable a user to readily grasp, move and carry the imaging assembly or components thereof into the desired position. The attachment locations and/or handles are formed with uniform cross-sectional shapes and include mounting locations thereon where various probe/accessory holders can be removably secured. The holders are formed with clips that conform to the cross-sectional shape of the attachment locations/handles, such that the holders can be mounted in a modular manner to either handle in the desired mounting location.

Abstract: An x-ray image orientation detection and correction system including a detection and correction computing device is provided. The processor of the computing device is programmed to execute a neural network model that is trained with training x-ray images as inputs and observed x-ray images as outputs. The observed x-ray images are the training x-ray images adjusted to have a reference orientation. The processor is further programmed to receive an unclassified x-ray image, analyze the unclassified x-ray image using the neural network model, and assign an orientation class to the unclassified x-ray image. If the assigned orientation class is not the reference orientation, the processor is programmed to adjust an orientation of the unclassified x-ray image using the neural network model, and output a corrected x-ray image. If the assigned orientation class is the reference orientation, the processor is programmed to output the unclassified x-ray image.

Abstract: A system comprises a drive system comprising a single motor, a transmission configured to transmit power from the single motor to a first ball screw via a first clutch, and a second clutch configured to transmit power from the first ball screw to a second ball screw. The system also comprises a brake configured to apply a braking force to at least a portion of the drive system. The system further comprises a control module configured to control operation of one or more of the single motor, the first clutch, the second clutch, and the brake, where the control module is configured to move a scissors arms in a horizontal direction in a first configuration and adjust a vertical height of the scissors arms in a second configuration.

Abstract: Systems and methods are provided for detecting and sequestering waste anesthetic gases released by an anesthetic vaporizer. In one embodiment, a method for an anesthetic vaporizer installed in an anesthesia machine includes detecting an emission of waste anesthetic gases (WAGs) from the anesthetic vaporizer, and responsive to detecting the emission of WAGs, performing at least one of scavenging the WAGs and outputting an alert.

Abstract: An airway adaptor providing a measurement chamber for gas measurement by a mainstream gas analyzer includes a body having a first end and a second end and configured to connect in a ventilation circuit carrying ventilation gas to and from a patient. The body forms a primary path that includes the measurement chamber and is configured to allow ventilation gas to pass between the first end and the second end and at least one secondary path separated from the primary path and located on an outer perimeter of the primary path. The at least one secondary path is configured to contain liquid away from the measurement chamber.

Abstract: A bearing structure for an X-ray tube is provided that includes a journal bearing shaft with a radially protruding thrust bearing encased within a bearing sleeve, one of which rotates relative to the other. The stationary component, e.g., the journal bearing and/or the thrust bearing includes at least one vent groove formed therein that improves the ability of the journal bearing structure to enable gases trapped by the liquid metal within the bearing assembly to escape through the vent groove to the exterior of the X-ray tube. By adding a strategically located channel or vent groove of sufficient size in at least one of the journal bearing or the thrust bearing, the pressures resisted by the seal created between the liquid metal and the vent groove(s) in the bearing components is significantly reduced, allowing escape of the gases to avoid detrimental effects to the operation of the X-ray tube, while maintaining the load carrying capacity of the bearing assembly.

Abstract: Systems and methods are provided for reprojection and back projection of objects of interest via homographic transforms, and particularly one-dimensional homographic transforms. In one example, a method may include acquiring imaging data corresponding to a plurality of divergent X-rays, assigning a single functional form to the plurality of divergent X-rays, determining, via a homographic transform, weights of interaction between a plurality of distribution samples and a plurality of X-ray detector bins based on the single functional form, and reconstructing an image based on the weights of interaction.

Abstract: A bearing structure for an X-ray tube is provided that includes a journal bearing shaft with a radially protruding thrust bearing encased within a sleeve. The structure of sleeve is formed with enlarged traps or voids in the sleeve that are disposed adjacent various rotating anti-wetting seals/seal surfaces formed between the sleeve and the shaft. The geometry of the traps is formed to retain liquid metal/lubricating fluid within the gap defined by the bearing assembly and to direct to liquid metal flowing outwardly from the gap defined between the sleeve and the shaft away from the rotating anti-wetting seals and back towards the gap. This geometry allows the centrifugal forces exerted on the liquid metal by the rotation of the bearing structure to move the outflowing liquid metal away from the rotating anti-wetting seals to significantly reduce contact of the liquid metal with the seals.

Abstract: Systems and methods are provided for perioperative care in a medical facility. In an example, a system includes a display and a computing device operably coupled to the display and storing instructions executable to output, to the display, a graphical user interface (GUI) that includes real-time medical device data of a patient, at least some of the real-time medical device data displayed via the GUI as a plurality of patient monitoring parameter tiles, the GUI including a risk score indicative of a relative likelihood that the patient will exhibit a condition within a period of time, and responsive to a user input, display, on the GUI, a set of trend lines each showing values for a respective patient monitoring parameter over a time range, each trend line of the set of trend lines selected based on a contribution of each respective patient monitoring parameter to the risk score.

Abstract: Techniques are described for optimizing deep learning model performance using image harmonization as a pre-processing step. According to an embodiment, a method comprises decomposing, by a system operatively coupled to a processor, an input image into sub-images. The method further comprises harmonizing the sub-images with corresponding reference sub-images of at least one reference image based on two or more different statistical values respectively calculated for the sub-images and the corresponding reference-sub images, resulting in transformation of the sub-images into modified sub-images images. In some implementations, the modified sub-images can be combined into a harmonized image having a more similar appearance to the at least one reference image relative to the input image.

Abstract: Apparatus, systems, and methods to process an interior region of interest in an anatomy image via a user interface are disclosed. An example apparatus is to at least: process an image to reduce noise in the image; identify at least one of an organ of interest or a region of interest in the image; analyze values in at least one of the organ of interest or the region of interest; process the at least one of the organ of interest or the region of interest based on the analyzed values to provide a processed object in the at least one of the organ of interest or the region of interest; and display the processed object for interaction via an interface, the display to include exposing at least one of the organ of interest or the region of interest.