Systems and methods for measuring and monitoring intracavitary tissue temperature. The system may include a catheter shaft with a circuit board disposed therein, the circuit board having an array of sensors disposed thereon. The catheter shaft may have an opening and an expandable structure surrounding the opening to provide a field of view of the intracavitary tissue for the array of sensors through the opening. The system may include a software-based programming system run on a computer such that a clinician may review information indicative of temperature of the intracavitary tissue, and be alerted if the temperature exceeds a predetermined threshold.

Devices, systems, and methods for visualizing a reference location of an electrophysiology device in an anatomical image are provided. According to one embodiment, an electrophysiological mapping and guidance system includes a processor circuit in communication with a catheter carrying a plurality of electrodes. The processor circuit controls the plurality of electrodes to obtain electrical measurements (e.g., voltage measurements) of an electrical field induced within an anatomical cavity. The processor circuit computes a reference location of the plurality of electrodes based on distortions in the electromagnetic field detected at a first time, computes a current location of the plurality of electrodes based on distortions in the electromagnetic field detected at a later second time, and outputs a signal to cause simultaneous display of a first visualization of the reference location and a second visualization of the current location.

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, perform computational fluid dynamics analysis, facilitate assessment of risk of heart disease and coronary artery disease, enhance drug development, determine a CAD risk factor goal, provide atherosclerosis and vascular morphology characterization, and determine indication of myocardial risk, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters.

An oximetry device sealed in a sheath directs a user to allow the oximetry device to make oximetry readings at a number of different tissue locations of a patient and average two or more of the oximetry readings by directing the lifts and placements of the oximetry device and sheath to and from the different tissue locations and detecting the lift and placements. The averages are generated and displayed on a display of the device for the oximetry readings if the lifts are made while use directions for the lifts are displayed on a display of the oximetry device. The averages are not generated if the lifts are not made while the user directions for the lifts are not displayed. The averages are simultaneously displayed with the oximetry readings which are instantaneous measurement for patient tissue.

The present invention relates to a digital content-based method for providing therapeutics information, the method comprising: a first step of performing stimulation on a brain of a user to obtain fNIRS (functional near-infrared spectroscopy) data of the user; a second step of extracting a first brain activation area from a plurality of brain areas of the user using the obtained fNIRS data; a third step of determining a first brain state of the user, based on the first brain activation area; a fourth step of providing the user with a content determined corresponding to the first brain state determined in the third step under an XR (Extended Reality) environment; a fifth step in which the user performs a mission corresponding to the content; a sixth step of extracting a second brain activation area from the plurality of brain areas with reference to the fNIRS data of the user following performing the mission; and a seventh step of determining a second brain state of the user, based on the second brain activation area; an eighth step of determining information related to amelioration of the brain state of the user.

A life management system receives data from a client device worn by a user, the data comprising biotelemetry data and activity data collected about a user wearing the client device. The life management system generates snapshot information using information from a group consisting of: the biotelemetry data, activity data, social data associated with the user, and user profile information associated with the user. The life management system generates a recommendation using portions of the snapshot information, and updates the snapshot information with the recommendation. The life management system executes a recommendation associated with the snapshot information in accordance with the user controls associated with the user.

A method is implemented by a computing device for helping a particular user use a user interface (UI). Electroencephalography (EEG) data is obtained that indicates brain activity of a particular user during a period in which that user views the UI and/or interprets help information that describes how to use the UI. Based on the EEG data, the computing device selects, from among multiple predefined cognitive states, the one or more cognitive states that characterize the particular user during the period. The computing device assists the particular user to use the UI by customizing the help information for the particular user based on the one or more selected cognitive states. A complementary computing device and computer program product are also disclosed.

The present disclosure provides a system. The system may include a medical device, a couch, one or more imaging devices, and a control device. The medical device may include a cavity. The couch may be configured to support a subject. The one or more imaging devices may be configured to acquire image data. The image data may indicate at least one of a target portion of the subject or posture information of a user. The control device may be configured to control a movement of the couch based on at least one of position information of the target portion of the subject or the posture information of the user.

An electronic device for gesture recognition, includes a processor operably connected to a transceiver. The transceiver is configured to transmit and receive signals for measuring range and speed. The processor is configured to transmit the signals, via the transceiver. in response to a determination that a triggering event occurred, the processor is configured to track movement of an object relative to the electronic device within a region of interest based on reflections of the signals received by the transceiver to identify range measurements and speed measurements associated with the object. The processor is also configured to identify features from the reflected signals, based on at least one of the range measurements and the speed measurements. The processor is further configured to identify a gesture based in part on the features from the reflected signals. Additionally, the processor is configured to perform an action indicated by the gesture.

An analyzing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to calculate a tissue characteristic parameter value with respect to each of a plurality of positions within a region of interest, by analyzing a result of a scan performed on a patient. The processing circuitry is configured to determine a measurement region in the region of interest by performing an analysis while using the tissue characteristic parameter values. The processing circuitry is configured to calculate a statistic value of the tissue characteristic parameter values in the measurement region.