Patent classifications
A61B5/748
Method and system for providing information from a patient-specific model of blood flow
Embodiments include a system for providing blood flow information for a patient. The system may include at least one computer system including a touchscreen. The at least one computer system may be configured to display, on the touchscreen, a three-dimensional model representing at least a portion of an anatomical structure of the patient based on patient-specific data. The at least one computer system may also be configured to receive a first input relating to a first location on the touchscreen indicated by at least one pointing object controlled by a user, and the first location on the touchscreen may indicate a first location on the displayed three-dimensional model. The at least one computer system may be further configured to display first information on the touchscreen, and the first information may indicate a blood flow characteristic at the first location.
Method and system for visualization of heart tissue at risk
Exemplified methods and systems facilitate presentation of data derived from measurements of the heart in a non-invasive procedure (e.g., via phase space tomography analysis). In particular, the exemplified methods and systems facilitate presentation of such measurements in a graphical user interface, or “GUI” (e.g., associated with a healthcare provider web portal to be used by physicians, researchers, or patients, and etc.) and/or in a report for diagnosis of heart pathologies and disease. The presentation facilitates a unified and intuitive visualization that includes three-dimensional visualizations and two-dimensional visualizations that are concurrently presented within a single interactive interface and/or report.
SYSTEM AND DEVICES FOR MONITORING A HEMODYNAMIC STATUS OF A PATIENT
A system for monitoring hemodynamic status of a patient can include a transducer, an adapter and one or more monitor devices. The adapter may be in communication with the transducer and the one or more monitor devices. The adapter can be configured to receive and process data from the transducer such as unprocessed physiological data. The adapter can be configured to transmit data to the monitor device(s) such as processed and/or unprocessed physiological data. The adapter can be configured to generate, and transmit to the monitor devices(s), user interface data for rendering interactive graphical user interfaces to display information such as physiological information relating to a hemodynamic status of the patient. The adapter can be configured to receive and process, from the monitor device(s) user commands or instructions to control an operation of the system or its components.
Automatically determining a medical recommendation for a patient based on multiple medical images from multiple different medical imaging modalities
Automatically determining a medical recommendation for a patient based on multiple medical images from multiple different medical imaging modalities. In some embodiments, a method may include receiving a first and second medical images of a patient from first and second medical imaging modalities, mapping a first region of interest (ROI) on the first medical image to a second ROI on the second medical image, generating first annotation data related to the first ROI and second annotation data related to the second ROI, generating first medical clinical data related to the first ROI and second medical clinical data related to the second ROI, inputting, into a machine learning classifier, the first and second annotation data and the first and second medical clinical data, and automatically determining, by the machine learning classifier, a medical recommendation for the patient related to a medical condition of the patient.
Systems and methods for physician designed surgical procedures
Systems and methods for providing assistance to a surgeon during an implant surgery are disclosed. A method includes defining areas of interest in diagnostic data of a patient and defining a screw bone type based on the surgeon's input. Post defining the areas of interest, salient points are determined for the areas of interest. Successively, an XZ angle, an XY angle, and a position entry point for a screw are determined based on the salient points of the areas of interest. Successively, a maximum screw diameter and a length of the screw are determined based on the salient points. Thereafter, the screw is identified and suggested to the surgeon for usage during the implant surgery.
SYSTEMS AND METHODS FOR VIDEO-BASED MONITORING OF VITAL SIGNS
The present invention relates to the field of medical monitoring, and in particular non-contact, video-based monitoring of pulse rate, respiration rate, motion, and oxygen saturation. Systems and methods are described for capturing images of a patient, producing intensity signals from the images, filtering those signals to focus on a physiologic component, and measuring a vital sign from the filtered signals. Examples include flood fill methods and skin tone filtering methods.
Ambulatory electrocardiography monitor
An ambulatory electrocardiography monitor is provided. The monitor includes a housing adapted to couple to a monitoring patch that includes electrocardiographic electrodes; and electronic circuitry provided within the housing. The electronic circuitry includes an electrocardiographic front end circuit; the microcontroller configured to: execute a power up sequence upon the housing coupling to the patch; after the execution of the power-up sequence, retrieve from the monitoring patch an identifier associated with the patch and a password for accessing results of a physiological monitoring conducted using the patch; read samples of the electrocardiographic signals, buffer the samples of the electrocardiographic signals, compress the buffered samples of the electrocardiographic signals, buffer the compressed samples of the electrocardiographic signals, and write-the buffered samples into a memory in association with the password and the identifier; and the memory electrically interfaced with the microcontroller.
Method for outputting speed of object and ultrasonic diagnosis device therefor
Provided is a method of outputting a velocity of an object, the method including: transmitting an ultrasound signal to an object and receiving an ultrasound echo signal returned from the object; determining a velocity of the object based on the ultrasound echo signal; displaying a spectral Doppler image showing velocities of the object over time; receiving user inputs of selecting an interval within a range of the velocities of the object shown in the spectral Doppler image and adjusting an output volume of an audible sound corresponding to velocities in the selected interval; and outputting, based on the adjusted output volume of the audible sound, an audible sound representing the velocities of the object over time.
Precise positioning of a marker on a display
The invention concerns a method for precise positioning of a marker (42) on a display. The method comprising the steps of (a) displaying a marker (42) overlaid on an image on a display, wherein the marker (42) indicates a first point (43); (b) obtaining the coordinates of a second point (44) on the display (5), in response to a user input event (64); (c) determining the coordinates of a third point (54) on the display (5), said third point (54) being located at a defined distance (52) from the first point (43) in a direction (48) defined by connecting the first and second points (43, 44); and (d) moving the marker (42) from the first point (43) to the third point (54), so that the marker (42) indicates the third point. The invention also relates to a computer program, a computer-readable medium (9) and an image evaluation device (1).
System and method for neural-network-based atrial fibrillation detection with the aid of a digital computer
A system and method for neural-network-based atrial fibrillation detection with the aid of a digital computer are provided. Electrocardiography (ECG) features and annotated patterns of the features are maintained in a database, at least some of the patterns associated with atrial fibrillation. A classifier is trained based on the annotated patterns, the classifier implemented by a convolutional neural network. A representation of an ECG signal recorded by one or more ambulatory monitors is received. ECG features in the representation falling within each of the temporal windows are detected. The trained classifier is used to identify patterns of the ECG features. At least one matrix with weights for the patterns are generated. A value indicative of whether portions of the representation are associated the patient experiencing atrial fibrillation is calculated. That one or more of the portions are associated with the patient experiencing atrial fibrillation is determined.