A method of processing optical coherence tomography (OCT) scans through a subject's skin, the method comprising: receiving at least a plurality of OCT scans through the subject's skin (7), each scan representing an OCT signal in a slice through the subject's skin (7), with the plurality of OCT scans being spaced apart such that the OCT scans represent the OCT signal through a volume through the subject's skin; processing each OCT scan using a processor so as to so as to detect at least one three dimensional structure in the skin; classifying, using a processor, the structure as belonging to a class of a plurality of classes of structures; and outputting at least one of the structure and the class.

The invention provides a patient monitoring system for monitoring a patient in a bed. A video camera is used for capturing video images of the patient. Video analysis is used to determine and track the position of body parts of the patient including the hands. This analysis is enhanced by using sensors which detect interaction by the patient with pieces of equipment in the vicinity of the bed.

Disclosed is an athletic posture analysis device including a pressure sensor plate for measuring the distribution of pressure applied to each of the feet of a user who performs an athletic action by the weight of the user, a display device for displaying athletic posture analysis information of the user, and a controller for performing control so as to specify the size and position of each of the feet of the user using information measured by the pressure sensor plate, to map a predetermined foot image, and to display the mapped foot image and the information regarding the distribution of pressure applied to each of the feet of the user in an overlapping fashion through the display device.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a plurality of possible segmentations of an image. In one aspect, a method comprises: receiving a request to generate a plurality of possible segmentations of an image; sampling a plurality of latent variables from a latent space, wherein each latent variable is sampled from the latent space in accordance with a respective probability distribution over the latent space that is determined based on the image; generating a plurality of possible segmentations of the image, comprising, for each latent variable, processing the image and the latent variable using a segmentation neural network having a plurality of segmentation neural network parameters to generate the possible segmentation of the image; and providing the plurality of possible segmentations of the image in response to the request.

A facial information detecting unit detects facial information related to facial features of a driver of a vehicle. A physical information detecting unit detects physical information related to physical features of the driver. A driving capability estimating unit estimates a driving capability of the driver on the basis of the facial information and the physical information. A facial expression estimating unit estimates the facial expression of the driver on the basis of the facial information. An emotion estimating unit estimates the emotion of the driver represented by the degree of comfort and the degree of activeness on the basis of temporal changes in the driving capability of the driver and the facial expression of the driver.

An athlete wearing footwear measures jump heights with a motion sensor mounted on the footwear over toes of the athlete. By sensing vertical jump start motions the sensor detects jump start and finish times of −4 g start and −4 g landing. The sensor, a body wearable mems sensor developed by JAWKU, L.L.C., has a previously installed generic factory scale calibration factor. The athlete replaces this calibration factor with a new calibration scale factor selecting an “absolute” external reference device which measures jump height. This device measures several jump heights then inputted to an algorithm app in the sensor to calculate the new calibration scale factor customized to the actual athlete. The motion sensor has built in programming apps to periodically receive an upgraded factory scale calibration factor which upgrade is based on an ever increasing data pool of jump heights. The updated factory calibration factor is then again replaced by the athlete personally taking several new measured jumps which jump heights are in turn inputted to the sensor. The progress made in evolving jumping skills based on training and specific conditioning exercises can thus be motion sensor evaluated.

Systems and methods for generating MRI images of the lungs and/or airways of a subject using a medical grade gas mixture comprises between about 20-79% inert perfluorinated gas and oxygen gas. The images are generated using acquired .sup.19F magnetic resonance image (MRI) signal data associated with the perfluorinated gas and oxygen mixture.

Medical imaging systems for use in conjunction with an endoscope are described. Generally, the medical imaging system includes an illumination source configured to generate illuminating photons. The illuminating photons are transmitted to one or more filters configured to filter a first plurality of illuminating photons and generate a first plurality of filtered photons comprising a first passband wavelength and a second plurality of filtered photons comprising a second passband wavelength. A sample is then illuminated with the first plurality of filtered photons and the second plurality of filtered photons to generate a first plurality of interacted photons and a second plurality of interacted photons. One or more detectors are configured to detect the first plurality of interacted photons and the second plurality of interacted photons and generate one or more image data sets.

A method for isolating a potential anomaly in imaging data comprising: providing a set of at least one given anomaly property representative of a given anomaly; providing a anomaly property identifier for identifying each of the at least one given anomaly property; in the imaging data, isolating a first zone having a first property and a group of at least one other zone, each of the at least one other zone having a corresponding property different than the first property; in the imaging data, and resulting from the isolation of a first zone and a group of at least one other zone, providing a transition zone selected from a group consisting of: a closed zone separating the first zone and the group of at least one other zone; and a closed zone extending in one of the first zone and the group of at least one other zone; applying the anomaly property identifier for identifying each of the at least one given anomaly property on at least the transition zone for providing a computed indication for a selected zone, the selected zone being at least the transition zone; determining if the computed indication for the selected zone is concording with each of the at least one given anomaly property; and if the computed indication for the selected zone is concording, assigning an indication of potential anomaly candidate zone to the selected zone to thereby isolate the potential anomaly.

The present inventive concept relates to an optical coherence tomography (OCT)-based intraoral scanner calibration device including: a light source; an optical coupler for splitting the path of light irradiated from the light source in first light and second light; a reference part for generating reference light from the first light split by the optical coupler; a sample part for generating measurement light from the second light split by the optical coupler; and a signal generator for generating an OCT image from the reference light and the measurement light.