Nunaps Inc.

The Asan Foundation

University of Ulsan Foundation for Industry Cooperation

Dong Wha Kang

Dong Ho Kim

Rak Kyeun Hong

Yong Hwan Kim

Young Hwan Kim

Byung Joo Lee

Nam Kug Kim

Namkug Kim

Joo Yong Lee

Sung Won Ham

Hyun Na Lee

Hyun Taek Lim

Provided are a device, method and program for searching and training a preferred retinal locus of a patient with visual field damage. The method comprises the steps of: providing first stimulation to a patient by means of a stimulation providing device linked to the device; receiving, from the patient, a response with respect to the first stimulation by means of the stimulation providing device; if the response is correct, analyzing the movement of the patient's head corresponding to the first stimulation; specifying a preferred retinal locus on the basis of the analysis result; performing training associated with the patient's central fixation; and performing training associated with reinforcement of the patient's preferred retinal locus.

Apparatus, method, and program for searching and training preferred retinal locus of patient with visual field damage

The present invention relates to an apparatus and method for providing virtual reality-based eye movement exercise and visual perception training, wherein a dichoptic presentation is provided in consideration of the deviation of a user's eyeball so as to prevent additional damage to stereoscopic vision due to suppression, and is provided by adjusting the degree of difficulty by changing the locations of visual stimuli on the basis of the level of deviation and training capability of the user, thus making it possible for the user to not only receive training suitable for the user's condition, but also simultaneously undergo visual perception training including eye exercise (movement) training and stereoscopic perception recognition.

Apparatus and method for providing virtual reality-based eye movement exercise and visual perception training

The inventive concept refers to a system, a method, and a computer program for providing training for pain improvement. According to an exemplary embodiment, a training providing method for pain improvement includes requesting, by a computer, a temperature providing device to provide a first temperature to a first body point, requesting, by the computer, the temperature providing device to provide a second temperature to a second body point, requesting a user to select a temperature matched with a specific condition among the first temperature and the second temperature, and calculating a correct answer rate after performing a trial of distinguishing between the first temperature and the second temperature by a predetermined number.

System, method, and computer program for providing training for pain improvement

The inventive concept relates to a stimulus providing device that provides training stimuli for improving pain of a pain patient, a perception training method, and a computer program. The stimulus providing device for providing a training stimulus for improving pain includes one or more mounting units mounted on body portions of a user, and one or more stimulus providing units disposed in the mounting units and which provides stimuli to the body portions, the stimulus providing units are controlled by a control unit included in the stimulus providing device or a control unit physically separated from the stimulus providing device to interwork with the stimulus providing device and included in a terminal of the user, and the control unit controls at least one of a location, a range, and an intensity of the stimuli.

Stimulus providing device, perception training method, and computer program

The present invention relates to a method for providing visual perception training using visual perception learning, the method comprising the steps of: obtaining a field-of-view map having a plurality of unit regions to which a vision index reflecting a user's vision ability is assigned; providing a first session using a visual perception task which is performed by displaying a first visual object for central fixation of the user's field of view and a second visual object in the vicinity of the first visual object, and requests the user's response related to at least the second visual object; determining a vision ability changed region among the plurality of unit regions on the basis of the user's response from the first session; and providing a second session using the visual perception task.

Device and method for providing visual ability training using visual perceptual learning

A method for predicting brain disease state change is disclosed. The method includes acquiring test images obtained by capturing a portion of a human brain at a time interval, performing a pre-processing procedure of converting the test images into test voxels configured to be processed for image analysis, wherein a respective test voxel of the test voxels is composed of three-dimensional voxel units, mapping first and second test voxels selected from the test voxels acquired from a patient, with each other on a three-dimensional voxel unit, wherein the first test voxel is acquired at a first time-point and the second test voxel is acquired at a second time-point, generating a voxel-based data-set based on the mapped first and second test voxels, extracting a change in the test voxels using a deep neural network, and generating a state change probability model based on the change in the test voxels.

Method and apparatus for predicting brain disease change through machine learning and program for the same

Disclosed are training method, program and computing device to ameliorate visual field defect. The method includes presenting, by a computer, a virtual first object on a screen, wherein the first object is presented in an approaching manner toward the subject from a first position to a second position, when a position of the first object reaches the second position, the dividing, by the computer, of the first object into objects and presenting the divided objects on the screen or removing, by the computer, the first object from the screen, when the first object is divided or removed, presenting, by the computer, a virtual second object and a virtual third object on the screen, and receiving, by the computer, an identification input about the second object and the third object from a response input device of the subject.

Training method, program and computing device for ameliorating visual field defect

Disclosed are a device, a method, and a program for training memory using brain stimulation. The method includes at least: displaying a first problem on a task display portion of a screen; receiving a first response corresponding to the first problem; and evaluating a memory state of a user based on the first response. The first problem includes one or more output images to be displayed at a specific location within the task display portion, and the first response includes a result of comparing a previous first problem that was displayed before N times (N is a natural number) of executing the method, with the displayed first problem.

Device and method for training memory using brain stimulation

The present invention relates to a brain connectivity-based visual perception training device, method and program. The brain connectivity-based visual perception training method, according to one embodiment of the present invention, comprises: a step (S; a spatial movement image providing step) of allowing a computer to provide a spatial movement image to a head-mounted display device; a step (S; a visual perception training image providing step) of allowing the computer to provide a visual perception training image simultaneously with the spatial movement image or subsequently to the spatial movement image; and a step (S) of allowing the computer to receive, from a user, a performance result of a first task of the visual perception training image. Hereinafter, each step is described in detail.

Brain connectivity-based visual perception training device, method and program

The present disclosure relates to a system and a method for estimating an acute cerebral infarction onset time. The method according to the present disclosure includes at least: receiving a first image and a second image of a first patient whose acute cerebral infarction onset time is not identified; extracting an infarction area image from the second image; aligning the second image with the first image; defining an infarction area in the first image, based on a result of the alignment of the second image with the first image; extracting feature information of the first patient, from the infarction area in the first image; comparing the extracted feature information with reference data; and calculating an amount of time that has elapsed since the acute cerebral infarction onset time, based on a result of the comparison of the extracted feature information with reference data.

System and method for estimating acute cerebral infarction onset time

Disclosed is a temperature providing device including a housing body, a plurality of temperature transmitters transmitting different temperatures to an outside of the housing body, and a temperature adjusting unit adjusting a temperature of each of the plurality of temperature transmitters.

Temperature providing device

Disclosed is a method for estimating an onset time of an infarct region based on brain images, the method including: obtaining brain images; extracting from the infarct region included in the brain images a set of quantitative values that vary according to the onset time of the infarct region; and having the set of quantitative values correspond to the onset time of the infarct region by applying a corresponding relation prepared therefor.

Method for estimating time of occurrence of infarct on basis of brain image

The present disclosure relates to a brain disease diagnosis service apparatus including at least: a receiving unit for receiving an image of a subject to be diagnosed; a preprocessing unit for estimating a transformation matrix in order to align a predetermined standard image with the image received by the receiving unit, and for applying the estimated transformation matrix to a predetermined standard brain region map, thereby generating an individual brain region map for the subject to be diagnosed; a feature point extracting unit for calculating a ratio occupied by brain lesions for each brain region in the individual brain region map, generated by the preprocessing unit, of the subject to be diagnosed, thereby extracting feature points; and a disability type determining unit for determining a disability type on the basis of the ratio of the brain lesions, calculated by the feature point extracting unit, for each brain region.

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Seoul, South Korea

Dong Wha Kang