To obtain a predictive model that shows a diagnostic prediction result with higher accuracy and high medical validity. A medical imaging apparatus includes an imaging unit that collects an image signal of an inspection target, and an image processing unit that generates first image data from the image signal and performs image processing of the first image data. The image processing unit includes a feature quantity extraction unit that extracts a first feature quantity from the first image data, a feature quantity abstraction unit that abstracts the first feature quantity to extract a second feature quantity, a feature quantity conversion unit that converts the second feature quantity into a third feature quantity extracted by second image data, and an identification unit that uses the converted third feature quantity to calculate a predetermined parameter value.

Disclosed is a method of measuring a physiological parameter in a contactless manner. The method includes acquiring a plurality of image frames for a subject, acquiring a first color channel value, a second color channel value, and a third color channel value for at least one image frame included in the plurality of image frames. The method further includes calculating a first difference and a second difference on the basis of the first color channel value, the second color channel value, and the third color channel value for at least one image frame included in the plurality of image frames. The first difference represents a difference between the first color channel value and the second color channel value for the same image frame, and the second difference represents a difference between the first color channel value and the third color channel value for the same image frame.

Examples of methodologies and technologies for determining changes in one or more skin conditions of a user over time are described herein. Any changes in skin conditions over time may be used as a diagnosis and/or treatment aid for a physician. Any changes in skin conditions over time may be also used in a computer implemented method that provides diagnosis and/or treatment recommendations.

A patient data capture and processing system that comprises general programmable medical device (GPMD) and a patient medical device controller (PPS). The patient server is configured to program the function data store of the GPMD, and obtain the data acquired by the GPMD, via the communications connection, wherein the data is stored in patient data records, and wherein the patient server is further configured to extract and output clinically significant events.

A physiological detection device includes an array sensor and a processing unit. The array sensor is configured to output array photoplethysmography (PPG) signals. The processing unit is configured to construct a 3D energy distribution, and identify an arc-like pattern in the 3D energy distribution according to the array PPG signals to accordingly identify different microcirculation states and an attaching status.

A bar is displayed in a second region. In an undetected state in which a region of interest is not detected, the length of the bar is 0, and when the undetected state transitions to a detected state in which the region of interest is detected, the bar increases in length over time. In addition, when the detected state transitions to the undetected state, display of the bar is continued with the length fixed. Thus, even in the undetected state, it is known that the region of interest has been previously detected. In addition, even in the undetected state, the region-of-interest detected duration is known from the length of the bar.

Disclosed is a method of measuring a physiological parameter in a contactless manner. The method includes acquiring a plurality of image frames for a subject, acquiring a first color channel value, a second color channel value, and a third color channel value for at least one image frame included in the plurality of image frames. The method further includes calculating a first difference and a second difference on the basis of the first color channel value, the second color channel value, and the third color channel value for at least one image frame included in the plurality of image frames. The first difference represents a difference between the first color channel value and the second color channel value for the same image frame, and the second difference represents a difference between the first color channel value and the third color channel value for the same image frame.

Disclosed is a method of measuring a physiological parameter in a contactless manner. The method includes acquiring a plurality of image frames for a subject, acquiring a first color channel value, a second color channel value, and a third color channel value for at least one image frame included in the plurality of image frames. The method further includes calculating a first difference and a second difference on the basis of the first color channel value, the second color channel value, and the third color channel value for at least one image frame included in the plurality of image frames. The first difference represents a difference between the first color channel value and the second color channel value for the same image frame, and the second difference represents a difference between the first color channel value and the third color channel value for the same image frame.

A method, including recording parameters indicative of a quality of ablation performed at one or more sites in a region of a human heart, and receiving a set of electrophysiological signals indicative of a wave of electrical activation flowing through the region. The method further includes identifying locations within the region at which the wave is blocked from flowing and estimating confidence levels with respect to a blockage of the wave at the locations in response to the signals and the parameters. The method also includes displaying a map of the human heart including an indication of the confidence levels.

Evaluating a pressure ulcer includes: detecting in a color input image a boundary of the pressure ulcer to get a RGB region of interest (ROI) image; converting the RGB ROI image to a grayscale ROI image; processing the grayscale ROI image using a Linear Combination of Discrete Gaussians (LCDG) process to estimate three main class probabilities of the grayscale ROI image; processing the RGB ROI image using predetermined RGB values to estimate the three main class probabilities of the RGB ROI image; and combining the probabilities of the grayscale ROI image and the probabilities of the RGB ROI image to determine an estimated labeled image; and normalizing and refining the estimated labeled image using a Generalized Gauss-Markov Random Field (GGMRF) process to produce a final segmentation image.