This specification describes a method of visually displaying electrocardiogram data in a compressed manner on the display screen wherein rhythmic information is visible and a method of categorizing zones of the electrocardiogram data.

A system for respiration monitoring includes a garment, which is configured to be fitted snugly around a body of a human subject, and which includes, on at least a portion of the garment that fits around a thorax of the subject, a pattern of light and dark pigments having a high contrast at a near infrared wavelength. A camera head is configured to be mounted in proximity to a bed in which the subject is to be placed, and includes an image sensor and an infrared illumination source, which is configured to illuminate the bed with radiation at the near infrared wavelength, and is configured to transmit a video stream of images of the subject in the bed captured by the image sensor to a processor, which analyzes movement of the pattern in the images in order to detect a respiratory motion of the thorax.

In a method and system for automatically positioning a region of interest of a patient for a medical imaging examination in an isocenter of a medical imaging apparatus, the region of interest of the patient is brought into a patient receiving region of the medical imaging examination for a position-determination measurement, a position-determination measurement is performed to capture position-determination image data, the position-determination image data is analyzed to determine a position of the region of interest of the patient from the position-determination image data, and the patient is automatically positioned such that the position of the region of interest of the patient coincides with the position of the isocenter of the medical imaging apparatus.

A method for intravascular image processing carries out steps of acquiring intravascular data of a portion of a lumen, determining a region of interest based on characteristics of the acquired data, determining an angle (orientation) for displaying an initial longitudinal view of the portion of the lumen based on the determined region of interest, and displaying the initial longitudinal view based on the determined angle and displaying a tomographic view of the portion of the lumen.

There is provided a computer implemented method for detection of likelihood of malignancy in an anatomical image of a patient for treatment planning, comprising: receiving an anatomical image, feeding the anatomical image into a global component of a model trained to output a global classification label, feeding the anatomical image into a local component of the model trained to output a localized boundary, feeding the anatomical image patch-wise into a patch component of the model trained to output a patch level classification label, extracting a respective set of regions of interest (ROIs) from each one of the components, each ROI indicative of a region of the anatomical image likely to include an indication of malignancy, aggregating the ROIs from each one of the components into an aggregated set of ROIs, and feeding the aggregated set of ROIs into an output component that outputs an indication of likelihood of malignancy.

The present technology relates to the field of medical monitoring, and, in particular, to non-contact detecting and monitoring of patient breathing. Systems, methods, and computer readable media are described for calculating a change in depth of a region of interest (ROI) on a patient. In some embodiments, the systems, methods, and/or computer readable media can identify steep changes in depths. For example, the systems, methods, and/or computer readable media can identify large, inaccurate changes in depths that can occur at edge regions of a patient. In these and other embodiments, the systems, methods, and/or computer readable media can adjust the identified steep changes in depth before determining one or more patient respiratory parameters.

Systems and methods for multi-modality data processing are provided. Some embodiments are particularly directed to navigating sets of multi-modality medical data in a multi-modality processing system. In one embodiment, a method for navigating medical data in a medical processing system includes receiving a reference set of medical data by the medical processing system, where the medical data corresponds to a modality selected from the group consisting of: FFR, iFR, pressure, flow, IVUS, and OCT. The medical processing system also receives a navigation command. An enhancement and a subset of the reference set of medical data to enhance are identified based on the navigation command. The medical processing system performs the selected enhancement on the subset of data and the enhanced subset is displayed. The enhancement may include performing a single-axis zoom on the subset.

A method, including receiving from mapping electrodes positioned at locations within a heart, signals indicating electrical activity in tissue contacting the electrodes, and processing the signals to identify, for each location, at least one corresponding LAT in a cycle of a heart. For each location, an earliest LAT in the cycle is identified, and an electroanatomical map including mapping points having respective locations and showing the earliest LAT at each location is generated and rendered. An input selecting a subset of the points is received, and a time range containing the earliest LAT of a majority of the points in the subset is identified. One or more outlying points in the subset are identified, and a second LAT, later than the earliest LAT in the cycle is found among the at least one identified LAT identified at the outlying points. The map is updated to display the found second LAT.

An apparatus for estimating bio-information is provided. The apparatus for estimating bio-information may include: a pulse wave sensor configured to measure a pulse wave signal from an object; a force sensor configured to measure a force exerted by the object to the pulse wave sensor; and a processor configured to obtain a contact pressure based on the force and a reference contact area between the object and a contact surface, and estimate bio-information based on the contact pressure and the pulse wave signal.

According to an embodiment of the present invention, there is provided a posture guide provision method performed by an apparatus for providing posture guide using a preset machine learning model. The provision method comprises acquiring an image for a user's posture, displaying a tutoring image in a first region of a display and the acquired image in a second region of the display, extracting a feature point from the acquired image, acquiring user posture information by generating a user posture line corresponding the user's posture based on the extracted feature point, generating posture guide information for guiding the user's posture based on the tutoring image and the user posture information, and combining the acquired image and the posture guide information with each other and displaying the combination in the second region of the display.