A health caring system and a health caring method are provided. The health caring method includes: obtaining image data of a target space and a space division configuration corresponding to the target space, wherein the image data include time information; obtaining a posture of a person according to the image data; determining a space division where the person is located according to the image data and the space division configuration; determining a behavior of the person according to the posture, the space division, and the time information; determining an event has occurred according to the behavior, the space division, and the time information; and outputting an alarm message corresponding to the event.

A method for analyzing dementia severity, may comprise calculating color data from skin regions of interest of a frontal lobe region; calculating frequency values corresponding to a frequency band of a dementia-related biosignal based on the calculated color data; and analyzing dementia severity using the calculated frequency values.

A method for providing an optimum subtraction data set includes: receiving first image data sets acquired by a medical imaging device and which map an object under examination within a first time phase; receiving at least one second image data set acquired by the same or another medical imaging device and which maps a change in the object under examination within a second time phase; dividing the at least one second image data set into a plurality of image regions; generating subtraction image regions for the plurality of image regions; determining an image quality parameter for each subtraction image region; determining an optimum subtraction image region for each image region of the plurality of image regions of the at least one second image data set by comparing the image quality parameters; generating the optimum subtraction data set from the optimum subtraction image regions; and providing the optimum subtraction data set.

The present invention provides a method and a portable non-invasive sub-THz and THz (THz) radar system for remotely detecting physiological parameters of a subject, comprising: one or more transmission means for transmitting THz signals to a subject predefined tissue; one or more reception means for receiving a THz signal of the subject, the THz signals being a reflection of the THz signal from subject tissue thereby, receiving at least one physiological parameter change; and microprocessor means coupled and configured to communicate with the transmitter means and/or the reception means for receiving and processing the reflected signals. The microprocessor comprising instructions of pre-treatment and folding the reflected signals; filtering and decimating selected portions of the folded signals and removing folded segments; decomposing of the decimated signal s into sub-component signals: identifying and removing sub-component signals due to random motions; locating quasi-periodic signal information from the remaining sub-component signals thereby, determining at least one physiological parameter of the subject based upon the quasi-periodic signal information components.

Pulsed hyperspectral, fluorescence, and laser mapping imaging in a light deficient environment is disclosed. A system includes an emitter for emitting pulses of electromagnetic radiation and an image sensor comprising a pixel array for sensing reflected electromagnetic radiation. The system includes a controller configured to synchronize timing of the emitter and the image sensor. The system is such that at least a portion of the pulses of electromagnetic radiation emitted by the emitter comprises one or more of a hyperspectral emission, a fluorescence emission, or a laser mapping pattern.

Provided herein are systems and methods for calculating patient information. The method includes determining a transfer matrix, recording electric potentials via a first set of recording electrodes located at a first set of recording locations to create a first set of recorded signals, and calculating patient information for a set of target locations by applying the transfer matrix to the first set of recorded signals. The transfer matrix is a characterization of electrical properties of tissue between the first set of recording locations and the set of target locations.

Systems and methods are described for using a combination of high-resolution, optical-sectioning imaging modalities to provide quantitative measures of the distribution of a contrast agent in tissue samples by identifying its cellular distribution. In some instances, the systems and methods may be used in an intraoperative setting to guide a biopsy or surgical procedure.

Fluorescence videostroboscopy imaging is described. A system includes an emitter for emitting pulses of electromagnetic radiation and an image sensor comprising a pixel array for sensing reflected electromagnetic radiation. The system includes a controller configured to cause the emitter to emit the pulses of electromagnetic radiation at a strobing frequency determined based on a vibration frequency of vocal cords of a user. The system is such that at least a portion of the pulses of electromagnetic radiation emitted by the emitter comprises electromagnetic radiation having a wavelength from about 770 nm to about 790 nm.

A framework for power management. The framework includes at least one power distribution board disposed within a radio-frequency (RF) cabin of a medical imaging system and coupled to an external reference clock. The power distribution board may include a clock circuit that generates one or more output clock signals based on a reference clock signal from the external reference clock. One or more switching regulators may be coupled to the clock circuit. The one or more switching regulators may be synchronized to the one or more output clock signals and provide power to one or more endpoint loads.

Various methods and systems are provided for translating magnetic resonance (MR) images to pseudo computed tomography (CT) images. In one embodiment, a method comprises acquiring an MR image, generating, with a multi-task neural network, a pseudo CT image corresponding to the MR image, and outputting the MR image and the pseudo CT image. In this way, the benefits of CT imaging with respect to accurate density information, especially in sparse regions of bone which exhibit with high dynamic range, may be obtained in an MR-only workflow, thereby achieving the benefits of enhanced soft-tissue contrast in MR images while eliminating CT dose exposure for a patient.