An electronic endoscope processor includes a converting means for converting each piece of pixel data that is made up of n (n≥3) types of color components and constitutes a color image of a biological tissue in a body cavity into a piece of pixel data that is made up of m (m≥2) types of color components, m being smaller than n; an evaluation value calculating means for calculating, for each pixel of the color image, an evaluation value related to a target illness based on the converted pieces of pixel data that are made up of m types of color components; and a lesion index calculating means for calculating a lesion index for each of a plurality of types of lesions related to the target illness based on the evaluation values calculated for the pixels of the color image.

An imaging support device used in a radiography apparatus including a radiation source and a radiation image detector that detects a radiation image of a subject on the basis of radiation emitted from the radiation source and transmitted through the subject includes an optical camera that outputs an optical image by optically imaging a region including an irradiation field of the radiation applied to the subject from the radiation source, and at least one processor, in which the processor associates the optical image acquired by the optical camera with the radiation image on the basis of a timing signal transmitted from the radiation image detector side.

One variation of a method for hosting mobile access to dense electroencephalography data includes: receiving a set of signals, in a raw resolution, recorded by a set of channels in an electroencephalography headset during an electroencephalography test; receiving, from a client computing device, a view parameters for viewing the set of signals on a display; calculating a quantity of raw signal points per pixel column of the display based on the view parameters and a length of a segment of the electroencephalography test; for each signal in the set of signals, for each discrete contiguous sequence of the quantity of raw signal points within the segment of the signal, calculating a value set characterizing the discrete contiguous sequence of the quantity of raw signal points in the signal; and generating a static image representing value sets for each channel, in the set of channels, across the segment of the electroencephalography test.

A method performed by a computing system comprises receiving a first set of spatial information from an instrument positioned within an anatomic passageway. The first set of spatial information includes a plurality of spatial data records including position information for a distal end of the instrument at a plurality of time periods. The method further comprises ordering the plurality of spatial data records in a time-gathered order. The method further comprises evaluating a spatial relationship between first and second consecutive spatial data records of the plurality of spatial data records. The method further comprises filtering the first set of spatial information based upon the evaluated spatial relationship.

Systems and methods for generating and displaying an electrophysiology (EP) map are provided. A system includes a device including at least one sensor configured to collect a set of location data points, and a computer-based model construction system coupled to the device and configured to generate a geometry surface model from the set of location data points, associate an EP parameter with each of a plurality of points on the geometry surface model to generate an EP map, calculate a confidence metric for the EP parameter associated with each point, and display the EP map based on the calculated confidence metrics.

A CPU of a health management apparatus functions as an acquisition unit, a first derivation unit, and a screen output control unit. The acquisition unit acquires a body-fat percentage which is an obesity parameter indicating the degree of obesity of a target pet and bone density which is a bone parameter indicating the degree of bone strength of the target pet. The first derivation unit derives health conditions of the target pet on the basis of a correlation between the body-fat percentage and the bone density. A screen output control unit performs control to output a medical examination result display screen on which the health conditions are displayed.

An apparatus, system and process for identifying one or more different tissue types are described. The method may include applying a configuration to one or more programmable light sources of an imaging system, where the configuration is obtained from a machine learning model trained to distinguish between the one or more different tissue types captured in image data. The method may also include illuminating a scene with the configured one or more programmable light sources, and capturing image data that includes one or more types of tissue depicted in the image data. Furthermore, the method may include analyzing color information in the captured image data with the machine learning model to identify at least one of the one or more different tissue types in the image data, and rendering a visualization of the scene from the captured image data that visually differentiates tissue types in the visualization.

A system and method are provided for a navigational feedback to a catheter during an arrhythmia ablation procedure. A set of electrocardiogram (ECG) signals of a patient's arrhythmia is recorded that correspond to an unknown target location to be ablated by the catheter. During the ablation procedure, pacing locations and ECG signals corresponding to the pacing locations are collected to derive a mathematical operator that maps a 12-dimensional displacement vector in the ECG space to a 3-dimensional (3D) vector in a physical space. This 3D vector corresponds to a direction and a distance that the catheter needs to be moved in order to reach the target location of the arrhythmia.

A steerable endoscope is provided with active steering control. An endoscope includes a flexible tubular body with first and second articulating segments, and a camera. In an embodiment, the endoscope includes an orientation sensor. A controller for the endoscope performs an automated analysis of an alignment between the motion axis of the endoscope and the viewing axis of the camera, and actively steers the endoscope to improve the alignment.

Methods, systems, and computer program products of fusing Molecular Chemical Imaging (MCI) and Red Green Blue (RGB) images are disclosed herein. A sample is illuminated with illuminating photons which interact with the sample and are used to form MCI and RGB images. The MCI and RGB images are fused by way of mathematical operations to generate a RGB image with a detection overlay.