Abstract: In a monitoring method for generating maintenance alerts, component IDs are extracted which identify medical imaging device components in electronic medical imaging device manuals (25, 26, 27, 28). Operating parameters of the medical imaging device components and associated operating parameter ranges are also extracted from the manuals, based on numeric values, parameter terms identifying operating parameters, and linking terms or symbols indicative of equality or inequality that connect the numeric values and parameter terms. The operating parameter ranges are formulated into decision rules (36) which are applied to log data (40) generated by a monitored medical imaging device (2) to detect out-of-range log data generated by the monitored medical imaging device. Maintenance alerts (24) are displayed on a display (18) in response to the detected out-of-range log data. The maintenance alerts are generated from out-of-range log data and are associated with component IDs contained in the out-of-range log data.

Abstract: A method (100) of determining a layout for one or more medical devices (12) in a medical facility includes: obtaining images (30) of a plurality of locations of the medical facility; mapping the obtained images to an architectural layout of the medical facility; generating a three-dimensional (3D) model of the medical facility based on the mapping; determining a recommended location for the one or more medical devices using the 3D model; determining a recommended placement of the one or more medical devices in the recommended location based on the recommended location; and outputting an image (40) showing the determined recommended placement of the medical devices in the recommended location.

Abstract: A non-transitory computer readable medium (107, 127) stores instructions executable by at least one electronic processor (101, 113) to perform a component co-replacement recommendation method (200).

Abstract: An apparatus (100) for scheduling field service for a fleet of medical imaging devices includes at least one electronic processor (101, 113) programmed to maintain a service records database (140) storing information on instances of service tasks performed on the fleet including identifiers of service completion times for the instances of service tasks; identify one or more service tasks to be performed on a medical imaging device of the fleet based on content of one or more machine and/or service logs of the medical imaging device to be serviced; optimize a service plan (130) for the upcoming field service based at least on the one or more service tasks to be performed during the upcoming field service and service completion times for instances of the one or more service tasks to be performed in the service records database; and display the service plan on a display device (105).

Abstract: A computer implemented methods and apparatus for use in training a convolutional neural network using a training data set. Each item of training data in the training data set comprises numerical data and a corresponding label for the respective numerical data. A method comprises, for each item of training data, converting the numerical data into a matrix, wherein elements in the matrix represent values of features in the numerical data. The method further comprises determining an arrangement for the numerical data in the matrices that decreases a similarity of matrices comprising numerical data with different labels, and/or increases a similarity of matrices comprising numerical data with the same labels, based on one or more measures of entropy.

Abstract: A method (100) for installing a software package (38) on at least one computer (18) in which the software package has a container-based architecture and including a set (32) of containers (34) includes: providing a user interface (UI) (28) via which a use specification (30) is received from a user; identifying a subset of the set of containers based at least in part on comparing the received use specification with descriptors of the containers of the set of containers; computing resource requirements for the containers of the subset; and displaying at least one of (i) a list (36) of the containers of the subset and (ii) the computing resource requirements for the containers of the subset.

Abstract: According to an aspect, there is provided a computer-implemented method for processing a data set, the data set comprising respective data subsets for a plurality of subjects, each data subset comprising a plurality of data entries, each entry comprising respective parameter values for each of a plurality of parameters at a respective time point, wherein for a first data subset relating to a first subject in the plurality of subjects, one or more parameter values for at least a first parameter in the plurality of parameters is missing from the first data subset, the method comprising, for a first missing parameter value in a first data entry in the first data subset (a) determining completeness scores for the first parameter, wherein each completeness score indicates a level of completeness of the data entries in the first data subset for the first parameter and a respective one of the other parameters in the plurality of parameters; (b) determining correlation scores for the first parameter, wherein each cor

Abstract: A non-transitory computer readable medium (107, 127) stores instructions executable by at least one electronic processor (101, 113) to perform a component co-replacement recommendation method (200).

Abstract: An oxygen saturation monitor (10) includes a clamp (12) having opposing first (14) and second (16) clamp portions. An array of light sources (18) is disposed on the first clamp portion. Each light source is switchable between (i) off, (ii) emitting light of a first wavelength or spectral range, (iii) emitting light of a second wavelength or spectral range different from the first wavelength or spectral range; and (iv) emitting light at both the first and second wavelengths or spectral ranges. An array of light detectors (20) is disposed on the second clamp portion facing the array of light sources. Each light detector of the array of light detectors is aligned to detect emitted light from a corresponding light source of the array of light sources.

Abstract: A device for optimizing an image acquisition device (12) includes at least one electronic processor (20) operatively connected to read a machine log (30) of the image acquisition device. A non-transitory computer readable medium (26) stores instructions readable and executable by the at least one electronic processor to perform an image acquisition method (100). The method includes: extracting logged parameters of the image acquisition device from the machine log of the image acquisition device; identifying one or more out-of-range parameters of the image acquisition device from the logged parameters extracted from the machine log of the image acquisition device; automatically tuning one or more electrical or mechanical settings of the image acquisition device on the basis of the one or more out-of-range parameters to transform the image acquisition device into a tuned image acquisition device; and controlling the tuned image acquisition device to acquire one or more images of a patient.

Abstract: There is provided a method and apparatus for calibrating measurements made using a medical monitoring device. A conversion factor may be obtained including a first cross correlation that describes the correlation between measurements made using a first medical monitoring device and measurements made using a second medical monitoring device. The first conversion factor may then be used to convert measurements from the first medical monitoring device onto the same scale as measurements from the second medical monitoring device.

Abstract: According to an aspect, there is provided a computer-implemented method for processing a data set, the data set comprising respective data subsets for a plurality of subjects, each data subset comprising a plurality of data entries, each entry comprising respective parameter values for each of a plurality of parameters at a respective time point, wherein for a first data subset relating to a first subject in the plurality of subjects, one or more parameter values for at least a first parameter in the plurality of parameters is missing from the first data subset, the method comprising, for a first missing parameter value in a first data entry in the first data subset (a) determining completeness scores for the first parameter, wherein each completeness score indicates a level of completeness of the data entries in the first data subset for the first parameter and a respective one of the other parameters in the plurality of parameters; (b) determining correlation scores for the first parameter, wherein each cor

Abstract: In a monitoring method for generating maintenance alerts, component IDs are extracted which identify medical imaging device components in electronic medical imaging device manuals (25, 26, 27, 28). Operating parameters of the medical imaging device components and associated operating parameter ranges are also extracted from the manuals, based on numeric values, parameter terms identifying operating parameters, and linking terms or symbols indicative of equality or inequality that connect the numeric values and parameter terms. The operating parameter ranges are formulated into decision rules (36) which are applied to log data (40) generated by a monitored medical imaging device (2) to detect out-of-range log data generated by the monitored medical imaging device. Maintenance alerts (24) are displayed on a display (18) in response to the detected out-of-range log data. The maintenance alerts are generated from out-of-range log data and are associated with component IDs contained in the out-of-range log data.

Abstract: A method (200) of converting a flowchart (110) to a structured electronic representation (116) of the flowchart includes: identifying, in an image (108) of the flowchart, a plurality of shapes (112) corresponding to flowchart blocks of the flowchart; identifying arrows (114) defining flow paths between the flowchart blocks in the image including identifying flowchart blocks connected by the arrows and their directionality; identifying text labels and their locations in the image and determining text content of the text labels; associating the text labels with flowchart blocks or defined flow paths based on locations of the text labels, flowchart blocks, and arrows; and generating the structured electronic representation of the flowchart based on the flowchart blocks, the flow paths, and the text labels. A structure of the structured electronic representation is determined at least based at least on the flow paths between the flowchart blocks of the image.

Abstract: A method of estimating a remaining useful life (RUL) of a battery includes: identifying a class of data of the battery in real time; determining whether a second level RUL estimation is set for the class; estimating a gross RUL by performing a first level RUL estimation in response to the second level RUL estimation not being set for the class; and estimating a fine RUL of the battery in response to the second level RUL estimation being set for the class.

Abstract: There is provided a method and apparatus for calibrating measurements made using a medical monitoring device. A conversion factor may be obtained including a first cross correlation that describes the correlation between measurements made using a first medical monitoring device and measurements made using a second medical monitoring device. The first conversion factor may then be used to convert measurements from the first medical monitoring device onto the same scale as measurements from the second medical monitoring device.

Abstract: Systems, methods and devices for guiding a patient through events in a hospital and recording information related to the events. The patient is guided through the hospital by scheduling events for a patient based on a scheduling model and at least one scheduling parameter, providing navigation information to the patient based on the scheduling of the events to enable performing the event and generating a report of the events.

Abstract: A method of estimating a remaining useful life (RUL) of a battery includes: identifying a class of data of the battery in real time; determining whether a second level RUL estimation is set for the class; estimating a gross RUL by performing a first level RUL estimation in response to the second level RUL estimation not being set for the class; and estimating a fine RUL of the battery in response to the second level RUL estimation being set for the class.