Provided herein are systems and methods for estimating contact pressure of a human lying on a surface including one or more imaging devices having imaging sensors oriented toward the surface, a processor and memory, including a trained model for estimating human contact pressure trained with a dataset including a plurality of human lying poses including images generated from at least one of a plurality of imaging modalities including at least one of a red-green-blue modality, a long wavelength infrared modality, a depth modality, or a pressure map modality, wherein the processor can receive one or more images from the imaging devices of the human lying on the surface and a source of one or more physical parameters of the human to determine a pressure map of the human based on the one or more images and the one or more physical parameters.

The present disclosure discloses a method and an apparatus for acquiring motion information. A frequency domain transformation is performed on a detection signal of a vibration propagating in a medium to obtain a frequency domain signal, then a signal that is outside of a defined vibration velocity range is removed from the frequency domain signal, that is, only a vibration signal is retained, and then a position-time diagram is obtained along a defined vibration propagation direction. It is not necessary to perform motion estimation on propagation of the vibration by a complicated calculation, and it is only necessary to determine the presence or absence of the vibration by processing in the frequency domain, and then the position-time diagram is obtained, which is a highly efficient method for acquiring motion information.

Systems and methods for localizing an upper eyelid in an image of a subject are provided. An image of an eye of the subject is obtained in electronic format. The image is inputted into a trained neural network comprising at least 10,000 parameters, thereby obtaining a set of coordinates for an upper eyelid in the image. This obtaining and inputting can be repeated over the course of a non-zero duration thereby obtaining a corresponding set of coordinates for the upper eyelid in each image in a plurality of images. Each corresponding set of coordinates for the upper eyelid from each image in the plurality of images can be used to determine whether the subject is afflicted with a neurological condition.

A medical image-processing apparatus according to an embodiment includes processing circuitry configured to determine a position of a feature point of a device in a first X-ray image, and generate a superimposed image in which a 3D model expressing the device is superimposed on the first X-ray image or a second X-ray image that is acquired later than the first X-ray image. The processing circuitry is configured to superimpose the 3D model on the first X-ray image or the second X-ray image at a position based on the position of the feature point.

A notification control device for controlling notification based on subject information is disclosed. The subject information including temperature image data, which indicates temperature of a subject captured within a predetermined capturing range, is received. A predetermined destination of notification information, which represents a state of the subject based on the subject information, is notified. A process of notifying the notification information to the predetermined destination is stopped depending on whether or not the subject information includes predetermined identification information.

A time sequenced series of optical images of a patient is obtained at a rate faster than cardiac frequency, wherein the time sequenced series of images capture one or more physical properties of intrinsic contrast. A cross-correland signal from the patient is obtained. A cross-correlated wavelet transform analysis is applied to the time sequenced series of optical images to yield a spatiotemporal representation of cardiac frequency phenomena. The cross-correlated wavelet transform analysis comprises performing a wavelet transform on the time-sequenced series of optical images to obtain a wavelet transformed signal, cross-correlating the wavelet transformed signal with the cross-correland signal to obtain a cross-correlated signal, filtering the cross-correlated signal at cardiac frequency to obtain a filtered signal, and performing an inverse wavelet transform on the filtered signal to obtain a spatiotemporal representation of the time sequenced series of optical images. Images of the cardiac frequency phenomena are generated.

A novel method and system for enhanced-resolution THz imaging whereby an enhanced-resolution THz image is developed by deconvolution of the original THz image that is developed using THz signals that are manipulated in time-domain and/or in frequency-domain and a point spread function (PSF) that is developed according to an equation wherein said THz signals in time-domain and/or frequency-domain are input parameters. By using this method and system, enhanced-resolution THz images are developed for detecting traces of symptoms of COVID-19 as small as a drop of water. Said novel method and system for enhanced-resolution THz imaging is used for developing a device, and method, that is: (a) rapid, (b) economical, (c) able to perform measurements remotely, (d) non-invasive. This device, and method, is capable of detecting symptoms of COVID-19 such as runny nose, congestion, and cough. The person under examination may or may not wear a face covering mask. This device, and method, is capable of performing examination remotely and without needing the person to remove the mask.

An apparatus (100) comprises at least one electronic processor (101, 113) programmed to: control an associated medical imaging device (120) to acquire an image (130); compute values of textural features (132) for the acquired image; generate a signature (140) from the computed values of the textural features; and at least one of: display the signature on a display device (105); and apply an artificial intelligence (AI) component (150) to the generated signature to output image artifact metrics (152) for a set of image artifacts and display an image quality assessment based on the image artifact metrics on the display device.

A method for identifying a disease affected area. The method includes activating a geolocation device of an electronic communication device, determining a current geolocation from the geolocation device, querying a disease database from the electronic communication device, to identify one or more diseases associated with the current geolocation, and generating a graphical display on a display of the electronic communication device displaying a risk rating associated with each of the one or more identified diseases associated with the current geolocation.

The stress estimation device acquires the awakening degree of the subject and calculates the feature amount of the acquired awakening degree. The feature amount of the awakening degree is, for example, a ratio at which the temporal change of the awakening degree is within a predetermined range, information defining a histogram showing the distribution of the temporal change of the awakening degree, and the like. Then, the stress estimation device estimates the stress from the calculated feature amount using the stress model.