Abstract:
Provided are a physiological signal analysis device and method to detect and analyze physiological information of a subject. The physiological signal analysis device includes a memory device configure to store a wrinkle pattern at a measurement position of a subject as a reference position; a sensor configured to sense the reference position and a physiological signal of the subject at the reference position in response to the stored reference position being within a range of the sensor; and a signal processor configured to process the physiological signal sensed the sensor.
Abstract:
A touch panel apparatus for measuring biosignals and a method of measuring the biosignals by using the touch panel apparatus, are provided. The touch panel apparatus includes a first electrode array configured to detect touch input signals, a second electrode array configured to be coupled to the first electrode array based on driving power, a controller configured to determine an operation mode of the touch panel apparatus as either a manipulation mode configured to manipulate a screen of the touch panel apparatus or a measuring mode configured to measure the biosignals, based on the detected touch input signals, and a mode converter configured to connect the second electrode array to a source of the driving power in response to the controller determining the operation mode as the manipulation mode, and connect the second electrode array to ground in response to the controller determining the operation mode as the measuring mode.
Abstract:
An ultrasound imaging apparatus includes an image generator configured to scan an object to obtain an ultrasound image; a neural network configured to generate a virtual ultrasound image based on matching medical images of different modalities; an image converting part configured to convert a medical image of a different modality, previously obtained by scanning the object, into the virtual ultrasound image by using the neural network; and a matching part configured to determine a position of a virtual probe based on the ultrasound image and the virtual ultrasound image, and configured to match the ultrasound image with the medical image that corresponds to the determined position of the virtual probe.
Abstract:
There is provided an image registration device and an image registration method. The device includes: a feature extractor configured to extract, from a first image, a first feature group and to extract, from a second image, a second feature group; a feature converter configured to convert, using a converted neural network in which a correlation between features is learned, the extracted second feature group to correspond to the extracted first feature group, to obtain a converted group; and a register configured to register the first image and the second image based on the converted group and the extracted first feature group.